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| id ▼ | node_id | name | full_name | private | owner | html_url | description | fork | created_at | updated_at | pushed_at | homepage | size | stargazers_count | watchers_count | language | has_issues | has_projects | has_downloads | has_wiki | has_pages | forks_count | archived | disabled | open_issues_count | license | topics | forks | open_issues | watchers | default_branch | permissions | temp_clone_token | organization | network_count | subscribers_count | readme | readme_html | allow_forking | visibility | is_template | template_repository | web_commit_signoff_required | has_discussions |
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| 107914493 | MDEwOlJlcG9zaXRvcnkxMDc5MTQ0OTM= | datasette | simonw/datasette | 0 | simonw 9599 | https://github.com/simonw/datasette | An open source multi-tool for exploring and publishing data | 0 | 2017-10-23T00:39:03Z | 2022-11-15T23:16:27Z | 2022-11-16T03:47:14Z | https://datasette.io | 5770 | 6628 | 6628 | Python | 1 | 0 | 1 | 1 | 0 | 463 | 0 | 0 | 435 | Apache License 2.0 apache-2.0 | ["asgi", "automatic-api", "csv", "datasets", "datasette", "datasette-io", "docker", "json", "python", "sql", "sqlite"] | 463 | 435 | 6628 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 463 | 97 | 1 | public | 0 | 0 | 1 | |||||
| 110509816 | MDEwOlJlcG9zaXRvcnkxMTA1MDk4MTY= | csvs-to-sqlite | simonw/csvs-to-sqlite | 0 | simonw 9599 | https://github.com/simonw/csvs-to-sqlite | Convert CSV files into a SQLite database | 0 | 2017-11-13T06:38:21Z | 2021-11-18T16:33:39Z | 2021-11-18T16:35:33Z | 138 | 655 | 655 | Python | 1 | 1 | 1 | 1 | 0 | 50 | 0 | 0 | 34 | Apache License 2.0 apache-2.0 | ["click", "csv", "datasette", "datasette-io", "datasette-tool", "pandas", "python", "sqlite"] | 50 | 34 | 655 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 50 | 17 | # csvs-to-sqlite [](https://pypi.org/project/csvs-to-sqlite/) [](https://github.com/simonw/csvs-to-sqlite/releases) [](https://github.com/simonw/csvs-to-sqlite/actions?query=workflow%3ATest) [](https://github.com/simonw/csvs-to-sqlite/blob/main/LICENSE) Convert CSV files into a SQLite database. Browse and publish that SQLite database with [Datasette](https://github.com/simonw/datasette). Basic usage: csvs-to-sqlite myfile.csv mydatabase.db This will create a new SQLite database called `mydatabase.db` containing a single table, `myfile`, containing the CSV content. You can provide multiple CSV files: csvs-to-sqlite one.csv two.csv bundle.db The `bundle.db` database will contain two tables, `one` and `two`. This means you can use wildcards: csvs-to-sqlite ~/Downloads/*.csv my-downloads.db If you pass a path to one or more directories, the script will recursively search those directories for CSV files and create tables for each one. csvs-to-sqlite ~/path/to/directory all-my-csvs.db ## Handling TSV (tab-separated values) You can use the `-s` option to specify a different delimiter. If you want to use a tab character you'll need to apply shell escaping like so: csvs-to-sqlite my-file.tsv my-file.db -s $'\t' ## Refactoring columns into separate lookup tables Let's say you have a CSV file that looks like this: county,precinct,office,district,party,candidate,votes Clark,1,President,,REP,John R. Kasich,5 Clark,2,President,,REP,John R. Kasich,0 Clark,3,President,,REP,John R. Kasich,7 ([Real example taken from the Open Elections project](https://github.com/openelections/openelections-data-sd/blob/master/2016/20160607__sd__primary__clark__precinct.csv)) You can n… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-csvs-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-csvs-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>csvs-to-sqlite</h1> <p dir="auto"><a href="https://pypi.org/project/csvs-to-sqlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/4869c8a624ce3dbf120decc95900d98af23c54cf5c87d65f7164e640a5fcda6b/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f637376732d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/csvs-to-sqlite.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/csvs-to-sqlite/releases"><img src="https://camo.githubusercontent.com/c0cc260f11a725723219d723be3829d23edfc0962d0e8d191fa2bcd6ceaa749f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f637376732d746f2d73716c6974653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/csvs-to-sqlite?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/csvs-to-sqlite/actions?query=workflow%3ATest"><img src="https://github.com/simonw/csvs-to-sqlite/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/csvs-to-sqlite/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9… | 1 | public | 0 | ||||||
| 130236762 | MDEwOlJlcG9zaXRvcnkxMzAyMzY3NjI= | datasette-cluster-map | simonw/datasette-cluster-map | 0 | simonw 9599 | https://github.com/simonw/datasette-cluster-map | Datasette plugin that shows a map for any data with latitude/longitude columns | 0 | 2018-04-19T15:31:55Z | 2021-12-07T21:55:01Z | 2021-12-07T19:39:02Z | 97 | 40 | 40 | JavaScript | 1 | 1 | 1 | 1 | 0 | 10 | 0 | 0 | 12 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-plugin", "leafletjs"] | 10 | 12 | 40 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 10 | 2 | # datasette-cluster-map [](https://pypi.org/project/datasette-cluster-map/) [](https://github.com/simonw/datasette-cluster-map/releases) [](https://github.com/simonw/datasette-cluster-map/blob/main/LICENSE) A [Datasette plugin](https://docs.datasette.io/en/stable/plugins.html) that detects tables with `latitude` and `longitude` columns and then plots them on a map using [Leaflet.markercluster](https://github.com/Leaflet/Leaflet.markercluster). More about this project: [Datasette plugins, and building a clustered map visualization](https://simonwillison.net/2018/Apr/20/datasette-plugins/). ## Demo [global-power-plants.datasettes.com](https://global-power-plants.datasettes.com/global-power-plants/global-power-plants) hosts a demo of this plugin running against a database of 33,000 power plants around the world.  ## Installation Run `datasette install datasette-cluster-map` to add this plugin to your Datasette virtual environment. Datasette will automatically load the plugin if it is installed in this way. If you are deploying using the `datasette publish` command you can use the `--install` option: datasette publish cloudrun mydb.db --install=datasette-cluster-map If any of your tables have a `latitude` and `longitude` column, a map will be automatically displayed. ## Configuration If your columns are called something else you can configure the column names using [plugin configuration](https://docs.datasette.io/en/stable/plugins.html#plugin-configuration) in a `metadata.json` file. For example, if all of your columns are called `xlat` and `xlng` you can create a `metadata.json` file like this: ```json { "title": "Regular metadata keys can go here too", "p… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-cluster-map" class="anchor" aria-hidden="true" href="#user-content-datasette-cluster-map"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-cluster-map</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-cluster-map/" rel="nofollow"><img src="https://camo.githubusercontent.com/6450215f6eeea9441e8212cad322848645a5fe49b0a77613b19c24aaf36eec9b/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d636c75737465722d6d61702e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-cluster-map.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-cluster-map/releases"><img src="https://camo.githubusercontent.com/1e99ad2a8a1efa327c27477d9f56b3288ab98216a2860019b872ecdcff59e7e5/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d636c75737465722d6d61703f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-cluster-map?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-cluster-map/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417… | 1 | public | 0 | ||||||
| 135007287 | MDEwOlJlcG9zaXRvcnkxMzUwMDcyODc= | datasette-leaflet-geojson | simonw/datasette-leaflet-geojson | 0 | simonw 9599 | https://github.com/simonw/datasette-leaflet-geojson | Datasette plugin that replaces any GeoJSON column values with a Leaflet map. | 0 | 2018-05-27T01:42:30Z | 2022-08-26T23:27:11Z | 2022-08-26T23:27:08Z | 91 | 9 | 9 | Python | 1 | 1 | 1 | 1 | 0 | 4 | 0 | 0 | 3 | ["datasette", "datasette-io", "datasette-plugin", "gis", "leaflet"] | 4 | 3 | 9 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 4 | 2 | # datasette-leaflet-geojson [](https://pypi.org/project/datasette-leaflet-geojson/) [](https://github.com/simonw/datasette-leaflet-geojson/releases) [](https://github.com/simonw/datasette-leaflet-geojson/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-leaflet-geojson/blob/main/LICENSE) Datasette plugin that replaces any GeoJSON column values with a Leaflet map ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-leaflet-geojson ## Usage Any columns containing valid GeoJSON strings will have their contents replaced with a Leaflet map when they are displayed in the Datasette interface. ## Demo You can try this plugin out at https://calands.datasettes.com/calands/superunits_with_maps  ## Configuration By default this plugin displays maps for the first ten rows, and shows a "Click to load map" prompt for rows past the first ten. You can change this limit using the `default_maps_to_load` plugin configuration setting. Add this to your `metadata.json`: ```json { "plugins": { "datasette-leaflet-geojson": { "default_maps_to_load": 20 } } } ``` Then run Datasette with `datasette mydb.db -m metadata.json`. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-leaflet-geojson" class="anchor" aria-hidden="true" href="#user-content-datasette-leaflet-geojson"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-leaflet-geojson</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-leaflet-geojson/" rel="nofollow"><img src="https://camo.githubusercontent.com/c4cff7db933b6c868aae197528f088312b804050a0aad5ba2beaa8c2cbf23d72/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d6c6561666c65742d67656f6a736f6e2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-leaflet-geojson.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-leaflet-geojson/releases"><img src="https://camo.githubusercontent.com/2ac8aa347c051365984375e84c15b4887c4a377dbc495db5320ebfbc409bbb2b/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d6c6561666c65742d67656f6a736f6e3f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-leaflet-geojson?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-leaflet-geojson/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-leaflet-geojson/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></… | 1 | public | 0 | 0 | ||||||
| 138669673 | MDEwOlJlcG9zaXRvcnkxMzg2Njk2NzM= | datasette-vega | simonw/datasette-vega | 0 | simonw 9599 | https://github.com/simonw/datasette-vega | Datasette plugin for visualizing data using Vega | 0 | 2018-06-26T01:40:54Z | 2021-12-10T22:20:46Z | 2021-12-10T22:20:43Z | 59 | 42 | 42 | JavaScript | 1 | 1 | 1 | 1 | 0 | 2 | 0 | 0 | 31 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-plugin", "plugin", "react", "vega"] | 2 | 31 | 42 | master | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 2 | 2 | # datasette-vega [](https://pypi.org/project/datasette-vega/) [](https://github.com/simonw/datasette-vega/blob/master/LICENSE) A [Datasette](https://github.com/simonw/datasette) plugin that provides tools for generating charts using [Vega](https://vega.github.io/).  Try out the latest master build as a live demo at https://datasette-vega-latest.datasette.io/ or try the latest release installed as a plugin at https://fivethirtyeight.datasettes.com/ To add this to your Datasette installation, install the plugin like so: pip install datasette-vega The plugin will then add itself to every Datasette table view. If you are publishing data using the `datasette publish` command, you can include this plugin like so: datasette publish now mydatabase.db --install=datasette-vega | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-vega" class="anchor" aria-hidden="true" href="#user-content-datasette-vega"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-vega</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-vega/" rel="nofollow"><img src="https://camo.githubusercontent.com/3daf7c04104904d77b14dde7eb24240a712bd4eca97aa15afa673a306a7ef31a/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d766567612e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-vega.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-vega/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" style="max-width: 100%;"></a></p> <p dir="auto">A <a href="https://github.com/simonw/datasette">Datasette</a> plugin that provides tools for generating charts using <a href="https://vega.github.io/" rel="nofollow">Vega</a>.</p> <p dir="auto"><a target="_blank" rel="noopener noreferrer" href="https://raw.githubusercontent.com/simonw/datasette-vega/master/datasette-vega.png"><img src="https://raw.githubusercontent.com/simonw/datasette-vega/master/datasette-vega.png" alt="Datasett… | 1 | public | 0 | ||||||
| 140912432 | MDEwOlJlcG9zaXRvcnkxNDA5MTI0MzI= | sqlite-utils | simonw/sqlite-utils | 0 | simonw 9599 | https://github.com/simonw/sqlite-utils | Python CLI utility and library for manipulating SQLite databases | 0 | 2018-07-14T03:21:46Z | 2022-11-15T18:12:16Z | 2022-11-15T15:53:38Z | https://sqlite-utils.datasette.io | 1437 | 1029 | 1029 | Python | 1 | 1 | 1 | 1 | 0 | 79 | 0 | 0 | 72 | Apache License 2.0 apache-2.0 | ["cli", "click", "datasette", "datasette-io", "datasette-tool", "python", "sqlite", "sqlite-database"] | 79 | 72 | 1029 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 79 | 16 | # sqlite-utils [](https://pypi.org/project/sqlite-utils/) [](https://sqlite-utils.datasette.io/en/stable/changelog.html) [](https://pypi.org/project/sqlite-utils/) [](https://github.com/simonw/sqlite-utils/actions?query=workflow%3ATest) [](http://sqlite-utils.datasette.io/en/stable/?badge=stable) [](https://codecov.io/gh/simonw/sqlite-utils) [](https://github.com/simonw/sqlite-utils/blob/main/LICENSE) [](https://discord.gg/Ass7bCAMDw) Python CLI utility and library for manipulating SQLite databases. ## Some feature highlights - [Pipe JSON](https://sqlite-utils.datasette.io/en/stable/cli.html#inserting-json-data) (or [CSV or TSV](https://sqlite-utils.datasette.io/en/stable/cli.html#inserting-csv-or-tsv-data)) directly into a new SQLite database file, automatically creating a table with the appropriate schema - [Run in-memory SQL queries](https://sqlite-utils.datasette.io/en/stable/cli.html#querying-data-directly-using-an-in-memory-database), including joins, directly against data in CSV, TSV or JSON files and view the results - [Configure SQLite full-text search](https://sqlite-utils.datasette.io/en/stable/cli.html#configuring-full-text-search) against your database tables and run search queries against them, ordered by relevance - Run [transformations against your tables](https://sqlite-utils.datasette.io/en/stable/cli.html#transforming-tables) to make schema changes t… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-sqlite-utils" class="anchor" aria-hidden="true" href="#user-content-sqlite-utils"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>sqlite-utils</h1> <p dir="auto"><a href="https://pypi.org/project/sqlite-utils/" rel="nofollow"><img src="https://camo.githubusercontent.com/f691f8124616f99c7978ecb2a58841aa6a7ace31234b0c87d392c4ef8db853e4/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f73716c6974652d7574696c732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/sqlite-utils.svg" style="max-width: 100%;"></a> <a href="https://sqlite-utils.datasette.io/en/stable/changelog.html" rel="nofollow"><img src="https://camo.githubusercontent.com/b114e00dffe1e5b24d21c5cd11dc97f8a6ab83da51acbb971e5daebeeb47d690/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f73716c6974652d7574696c733f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/sqlite-utils?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://pypi.org/project/sqlite-utils/" rel="nofollow"><img src="https://camo.githubusercontent.com/2413fbc1359bcdcf500aa31b497c8c25acf7db3f3fc3a33c540e809c984a189e/68747470733a2f2f696d672e736869656c64732e696f2f707970692f707976657273696f6e732f73716c6974652d7574696c732e7376673f6c6f676f3d707974686f6e266c6f676f436f6c6f723d776869… | 1 | public | 0 | 0 | 0 | |||
| 142967347 | MDEwOlJlcG9zaXRvcnkxNDI5NjczNDc= | datasette-json-html | simonw/datasette-json-html | 0 | simonw 9599 | https://github.com/simonw/datasette-json-html | Datasette plugin for rendering HTML based on JSON values | 0 | 2018-07-31T05:41:39Z | 2022-03-15T04:54:15Z | 2022-03-22T01:43:59Z | 46 | 19 | 19 | Python | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-plugin", "plugin"] | 1 | 0 | 19 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 1 | 4 | # datasette-json-html [](https://pypi.org/project/datasette-json-html/) [](https://github.com/simonw/datasette-json-html/releases) [](https://github.com/simonw/datasette-remote-metadata/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-json-html/blob/main/LICENSE) Datasette plugin for rendering HTML based on JSON values, using the [render_cell plugin hook](https://docs.datasette.io/en/stable/plugin_hooks.html#render-cell-value-column-table-database-datasette). This plugin looks for cell values that match a very specific JSON format and converts them into HTML when they are rendered by the Datasette interface. ## Links { "href": "https://simonwillison.net/", "label": "Simon Willison" } Will be rendered as an `<a href="">` link: <a href="https://simonwillison.net/">Simon Willison</a> You can set a tooltip on the link using a `"title"` key: { "href": "https://simonwillison.net/", "label": "Simon Willison", "title": "My blog" } Produces: <a href="https://simonwillison.net/" title="My blog">Simon Willison</a> You can also include a description, which will be displayed below the link. If descriptions include newlines they will be converted to `<br>` elements: select json_object( "href", "https://simonwillison.net/", "label", "Simon Willison", "description", "This can contain" || x'0a' || "newlines" ) Produces: <strong><a href="https://simonwillison.net/">Simon Willison</a></strong><br>This can contain<br>newlines * [Literal JSON link demo](https://datasette-json-html.datasette.io/demo?sql=select+%27%7B%0D%0A++++%22href%22%3A+%22https%3A%2F%2Fsimonwillison.net%2F%… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-json-html" class="anchor" aria-hidden="true" href="#user-content-datasette-json-html"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-json-html</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-json-html/" rel="nofollow"><img src="https://camo.githubusercontent.com/6781ecd1fa88174e5228eff74ade944f8f69a051d14df112d9dbc18bd3543551/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d6a736f6e2d68746d6c2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-json-html.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-json-html/releases"><img src="https://camo.githubusercontent.com/56a671c6595b71bd6d225b1c6d2ee0c5dbadd9bbbb44e4074ad4afe4c18905ce/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d6a736f6e2d68746d6c3f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-json-html?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-remote-metadata/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-json-html/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-json-html/blob/main/LICE… | 1 | public | 0 | ||||||
| 145483077 | MDEwOlJlcG9zaXRvcnkxNDU0ODMwNzc= | datasette-render-images | simonw/datasette-render-images | 0 | simonw 9599 | https://github.com/simonw/datasette-render-images | Datasette plugin that renders binary blob images using data-uris | 0 | 2018-08-21T00:05:47Z | 2022-08-11T16:06:11Z | 2022-08-11T16:06:08Z | https://datasette-render-images-demo.datasette.io/favicons/favicons | 35 | 14 | 14 | Python | 1 | 1 | 1 | 1 | 0 | 2 | 0 | 0 | 3 | ["datasette", "datasette-io", "datasette-plugin", "plugin"] | 2 | 3 | 14 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 2 | 2 | # datasette-render-images [](https://pypi.org/project/datasette-render-images/) [](https://github.com/simonw/datasette-render-images/releases) [](https://github.com/simonw/datasette-render-images/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-render-images/blob/main/LICENSE) A Datasette plugin that renders binary blob images with data-uris, using the [render_cell() plugin hook](https://docs.datasette.io/en/stable/plugins.html#render-cell-value-column-table-database-datasette). ## Installation Install this plugin in the same environment as Datasette. $ pip install datasette-render-images ## Usage If a database row contains binary image data (PNG, GIF or JPEG), this plugin will detect that it is an image (using the [imghdr module](https://docs.python.org/3/library/imghdr.html) and render that cell using an `<img src="data:image/png;base64,...">` element. Here's a [demo of the plugin in action](https://datasette-render-images-demo.datasette.io/favicons/favicons). ## Creating a compatible database table You can use the [sqlite-utils insert-files](https://sqlite-utils.datasette.io/en/stable/cli.html#inserting-data-from-files) command to insert image files into a database table: $ pip install sqlite-utils $ sqlite-utils insert-files gifs.db images *.gif See [Fun with binary data and SQLite](https://simonwillison.net/2020/Jul/30/fun-binary-data-and-sqlite/) for more on this tool. ## Configuration By default the plugin will only render images that are smaller than 100KB. You can adjust this limit using the `size_limit` plugin configuration option - for example, to increase the limit to 1MB (1000000 bytes) use the following in `metadata.jso… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-render-images" class="anchor" aria-hidden="true" href="#user-content-datasette-render-images"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-render-images</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-render-images/" rel="nofollow"><img src="https://camo.githubusercontent.com/0ff7b8f998f332ba04ece76be0bea5bd59032b36de01743aaee8735b18b89112/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d72656e6465722d696d616765732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-render-images.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-render-images/releases"><img src="https://camo.githubusercontent.com/6933dd025431c89dbe5604f03f999cb71c66c1a7eb492685a576581ec74871fd/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d72656e6465722d696d616765733f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-render-images?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-render-images/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-render-images/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github… | 1 | public | 0 | 0 | |||||
| 163790822 | MDEwOlJlcG9zaXRvcnkxNjM3OTA4MjI= | datasette-sqlite-fts4 | simonw/datasette-sqlite-fts4 | 0 | simonw 9599 | https://github.com/simonw/datasette-sqlite-fts4 | Datasette plugin that adds custom SQL functions for working with SQLite FTS4 | 0 | 2019-01-02T03:40:41Z | 2022-07-31T16:33:25Z | 2022-07-31T14:46:26Z | https://datasette.io/plugins/datasette-sqlite-fts4 | 14 | 3 | 3 | Python | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-plugin", "plugin"] | 1 | 0 | 3 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 1 | 2 | # datasette-sqlite-fts4 [](https://pypi.org/project/datasette-sqlite-fts4/) [](https://github.com/simonw/datasette-sqlite-fts4/releases) [](https://github.com/simonw/datasette-sqlite-fts4/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-sqlite-fts4/blob/main/LICENSE) Datasette plugin that exposes the custom SQL functions from [sqlite-fts4](https://github.com/simonw/sqlite-fts4). [Interactive demo](https://datasette-sqlite-fts4.datasette.io/24ways-fts4?sql=select%0D%0A++++json_object%28%0D%0A++++++++"label"%2C+articles.title%2C+"href"%2C+articles.url%0D%0A++++%29+as+article%2C%0D%0A++++articles.author%2C%0D%0A++++rank_score%28matchinfo%28articles_fts%2C+"pcx"%29%29+as+score%2C%0D%0A++++rank_bm25%28matchinfo%28articles_fts%2C+"pcnalx"%29%29+as+bm25%2C%0D%0A++++json_object%28%0D%0A++++++++"pre"%2C+annotate_matchinfo%28matchinfo%28articles_fts%2C+"pcxnalyb"%29%2C+"pcxnalyb"%29%0D%0A++++%29+as+annotated_matchinfo%2C%0D%0A++++matchinfo%28articles_fts%2C+"pcxnalyb"%29+as+matchinfo%2C%0D%0A++++decode_matchinfo%28matchinfo%28articles_fts%2C+"pcxnalyb"%29%29+as+decoded_matchinfo%0D%0Afrom%0D%0A++++articles_fts+join+articles+on+articles.rowid+%3D+articles_fts.rowid%0D%0Awhere%0D%0A++++articles_fts+match+%3Asearch%0D%0Aorder+by+bm25&search=jquery+maps). Read [Exploring search relevance algorithms with SQLite](https://simonwillison.net/2019/Jan/7/exploring-search-relevance-algorithms-sqlite/) for further details on this project. ## Installation pip install datasette-sqlite-fts4 If you are deploying a database using `datasette publish` you can include this plugin using the `--install` option: datasette publish now mydb.db --install=datasette-sqlite-fts4 | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-sqlite-fts4" class="anchor" aria-hidden="true" href="#user-content-datasette-sqlite-fts4"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-sqlite-fts4</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-sqlite-fts4/" rel="nofollow"><img src="https://camo.githubusercontent.com/97851cd6d6e2680d8da8db28d662851a36db50317ea8909c060aef1d1fcec110/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d73716c6974652d667473342e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-sqlite-fts4.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-sqlite-fts4/releases"><img src="https://camo.githubusercontent.com/e86e60059d267b02f60a9af932dbd99e1ec8d011e106ac2e8be952b364fcb7d1/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d73716c6974652d667473343f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-sqlite-fts4?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-sqlite-fts4/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-sqlite-fts4/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-sqli… | 1 | public | 0 | 0 | ||||
| 166159072 | MDEwOlJlcG9zaXRvcnkxNjYxNTkwNzI= | db-to-sqlite | simonw/db-to-sqlite | 0 | simonw 9599 | https://github.com/simonw/db-to-sqlite | CLI tool for exporting tables or queries from any SQL database to a SQLite file | 0 | 2019-01-17T04:16:48Z | 2021-06-11T22:52:12Z | 2021-06-11T22:55:56Z | 77 | 226 | 226 | Python | 1 | 1 | 1 | 1 | 0 | 12 | 0 | 0 | 2 | Apache License 2.0 apache-2.0 | ["sqlalchemy", "sqlite", "datasette", "datasette-io", "datasette-tool"] | 12 | 2 | 226 | main | {"admin": false, "push": false, "pull": false} | 12 | 4 | # db-to-sqlite [](https://pypi.python.org/pypi/db-to-sqlite) [](https://github.com/simonw/db-to-sqlite/releases) [](https://github.com/simonw/db-to-sqlite/actions?query=workflow%3ATest) [](https://github.com/simonw/db-to-sqlite/blob/main/LICENSE) CLI tool for exporting tables or queries from any SQL database to a SQLite file. ## Installation Install from PyPI like so: pip install db-to-sqlite If you want to use it with MySQL, you can install the extra dependency like this: pip install 'db-to-sqlite[mysql]' Installing the `mysqlclient` library on OS X can be tricky - I've found [this recipe](https://gist.github.com/simonw/90ac0afd204cd0d6d9c3135c3888d116) to work (run that before installing `db-to-sqlite`). For PostgreSQL, use this: pip install 'db-to-sqlite[postgresql]' ## Usage Usage: db-to-sqlite [OPTIONS] CONNECTION PATH Load data from any database into SQLite. PATH is a path to the SQLite file to create, e.c. /tmp/my_database.db CONNECTION is a SQLAlchemy connection string, for example: postgresql://localhost/my_database postgresql://username:passwd@localhost/my_database mysql://root@localhost/my_database mysql://username:passwd@localhost/my_database More: https://docs.sqlalchemy.org/en/13/core/engines.html#database-urls Options: --version Show the version and exit. --all Detect and copy all tables --table TEXT Specific tables to copy --skip TEXT When using --all skip these tables --redact TEXT... (table, column) pairs to redact with *** --sql TEXT Optional SQL q… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-db-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-db-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>db-to-sqlite</h1> <p><a href="https://pypi.python.org/pypi/db-to-sqlite" rel="nofollow"><img src="https://camo.githubusercontent.com/b34869a6692a0e2ab6754463aad8578fe9f594788d99d4fd7ae2d815735d1660/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f64622d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/db-to-sqlite.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/db-to-sqlite/releases"><img src="https://camo.githubusercontent.com/0f168b599361c3b2242a18a2b84f49d1c4e5520c7c425a89f43fd1b6f337f299/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f64622d746f2d73716c6974653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/db-to-sqlite?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/db-to-sqlite/actions?query=workflow%3ATest"><img src="https://github.com/simonw/db-to-sqlite/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/db-to-sqlite/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733… | |||||||||
| 167730071 | MDEwOlJlcG9zaXRvcnkxNjc3MzAwNzE= | datasette-pretty-json | simonw/datasette-pretty-json | 0 | simonw 9599 | https://github.com/simonw/datasette-pretty-json | Datasette plugin that pretty-prints any column values that are valid JSON objects or arrays | 0 | 2019-01-26T19:30:43Z | 2022-09-24T06:13:11Z | 2022-09-28T21:06:31Z | 14 | 8 | 8 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-plugin", "json"] | 0 | 1 | 8 | master | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 0 | 2 | # datasette-pretty-json [](https://pypi.org/project/datasette-pretty-json/) [](https://github.com/simonw/datasette-pretty-json/releases) [](https://github.com/simonw/datasette-pretty-json/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-pretty-json/blob/main/LICENSE) [Datasette](https://github.com/simonw/datasette) plugin that pretty-prints any column values that are valid JSON objects or arrays. You may also be interested in [datasette-json-html](https://github.com/simonw/datasette-json-html). | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-pretty-json" class="anchor" aria-hidden="true" href="#user-content-datasette-pretty-json"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-pretty-json</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-pretty-json/" rel="nofollow"><img src="https://camo.githubusercontent.com/3f7d7f3de1cb9fbdf6ac58e04cea35cc1daee4d53bcbcdf5060a0d311db996dc/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d7072657474792d6a736f6e2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-pretty-json.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-pretty-json/releases"><img src="https://camo.githubusercontent.com/4fbe6b0ade0a8b75e9200545ca5459c3ba7d546a32ac2f1519417e8c2314d20b/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d7072657474792d6a736f6e3f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-pretty-json?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-pretty-json/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-pretty-json/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-pret… | 1 | public | 0 | 0 | |||||
| 167759846 | MDEwOlJlcG9zaXRvcnkxNjc3NTk4NDY= | markdown-to-sqlite | simonw/markdown-to-sqlite | 0 | simonw 9599 | https://github.com/simonw/markdown-to-sqlite | CLI tool for loading markdown files into a SQLite database | 0 | 2019-01-27T02:04:54Z | 2022-05-13T18:09:26Z | 2022-05-13T18:09:22Z | 13 | 49 | 49 | Python | 1 | 1 | 1 | 1 | 0 | 2 | 0 | 0 | 2 | Apache License 2.0 apache-2.0 | ["datasette-io", "datasette-tool", "markdown", "sqlite", "yaml"] | 2 | 2 | 49 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 2 | 3 | # markdown-to-sqlite [](https://pypi.python.org/pypi/markdown-to-sqlite) [](https://github.com/simonw/markdown-to-sqlite/releases) [](https://github.com/simonw/markdown-to-sqlite/actions?query=workflow%3ATest) [](https://github.com/simonw/markdown-to-sqlite/blob/main/LICENSE) CLI tool for loading markdown files into a SQLite database. YAML embedded in the markdown files will be used to populate additional columns. Usage: markdown-to-sqlite [OPTIONS] DBNAME TABLE PATHS... For example: $ markdown-to-sqlite docs.db documents file1.md file2.md ## Breaking change Prior to version 1.0 this argument order was different - markdown files were listed before the database and table. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-markdown-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-markdown-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>markdown-to-sqlite</h1> <p dir="auto"><a href="https://pypi.python.org/pypi/markdown-to-sqlite" rel="nofollow"><img src="https://camo.githubusercontent.com/e5aa6980c413976937ea698f111c31b580e6186e9f018673df37b3e9fe1047fb/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6d61726b646f776e2d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/markdown-to-sqlite.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/markdown-to-sqlite/releases"><img src="https://camo.githubusercontent.com/29f48f8deb508081ca40341be55a1cdbe25dcd7a637e5277a24b82f167643ab6/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6d61726b646f776e2d746f2d73716c6974653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/markdown-to-sqlite?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/markdown-to-sqlite/actions?query=workflow%3ATest"><img src="https://github.com/simonw/markdown-to-sqlite/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/markdown-to-sqlite/blob/main/LICENSE"><img src="ht… | 1 | public | 0 | ||||||
| 168474970 | MDEwOlJlcG9zaXRvcnkxNjg0NzQ5NzA= | dbf-to-sqlite | simonw/dbf-to-sqlite | 0 | simonw 9599 | https://github.com/simonw/dbf-to-sqlite | CLI tool for converting DBF files (dBase, FoxPro etc) to SQLite | 0 | 2019-01-31T06:30:46Z | 2021-03-23T01:29:41Z | 2020-02-16T00:41:20Z | 8 | 25 | 25 | Python | 1 | 1 | 1 | 1 | 0 | 8 | 0 | 0 | 3 | Apache License 2.0 apache-2.0 | ["sqlite", "foxpro", "dbf", "dbase", "datasette-io", "datasette-tool"] | 8 | 3 | 25 | master | {"admin": false, "push": false, "pull": false} | 8 | 2 | # dbf-to-sqlite [](https://pypi.python.org/pypi/dbf-to-sqlite) [](https://travis-ci.com/simonw/dbf-to-sqlite) [](https://github.com/simonw/dbf-to-sqlite/blob/master/LICENSE) CLI tool for converting DBF files (dBase, FoxPro etc) to SQLite. ## Installation pip install dbf-to-sqlite ## Usage $ dbf-to-sqlite --help Usage: dbf-to-sqlite [OPTIONS] DBF_PATHS... SQLITE_DB Convert DBF files (dBase, FoxPro etc) to SQLite https://github.com/simonw/dbf-to-sqlite Options: --version Show the version and exit. --table TEXT Table name to use (only valid for single files) -v, --verbose Show what's going on --help Show this message and exit. Example usage: $ dbf-to-sqlite *.DBF database.db This will create a new SQLite database called `database.db` containing one table for each of the `DBF` files in the current directory. Looking for DBF files to try this out on? Try downloading the [Himalayan Database](http://himalayandatabase.com/) of all expeditions that have climbed in the Nepal Himalaya. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-dbf-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-dbf-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>dbf-to-sqlite</h1> <p><a href="https://pypi.python.org/pypi/dbf-to-sqlite" rel="nofollow"><img src="https://camo.githubusercontent.com/59d39789edaeb918bb1febd34597470b4d6cab449725f3db3c0bb59d3c02551a/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6462662d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/dbf-to-sqlite.svg" style="max-width:100%;"></a> <a href="https://travis-ci.com/simonw/dbf-to-sqlite" rel="nofollow"><img src="https://camo.githubusercontent.com/d7e086b366bfa3de03a5c75c2112c011ac4eaf71863fed90253e3b5c28e13f89/68747470733a2f2f7472617669732d63692e636f6d2f73696d6f6e772f6462662d746f2d73716c6974652e7376673f6272616e63683d6d6173746572" alt="Travis CI" data-canonical-src="https://travis-ci.com/simonw/dbf-to-sqlite.svg?branch=master" style="max-width:100%;"></a> <a href="https://github.com/simonw/dbf-to-sqlite/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" style="max-width:100%;"></a></p> <p>CLI tool for converting DBF files (dBase, FoxPr… | |||||||||
| 174715153 | MDEwOlJlcG9zaXRvcnkxNzQ3MTUxNTM= | datasette-jellyfish | simonw/datasette-jellyfish | 0 | simonw 9599 | https://github.com/simonw/datasette-jellyfish | Datasette plugin adding SQL functions for fuzzy text matching powered by Jellyfish | 0 | 2019-03-09T16:02:01Z | 2021-02-06T02:33:49Z | 2021-02-06T02:34:18Z | https://datasette.io/plugins/datasette-jellyfish | 15 | 9 | 9 | Python | 1 | 1 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-plugin", "datasette-io"] | 2 | 0 | 9 | main | {"admin": false, "push": false, "pull": false} | 2 | 1 | # datasette-jellyfish [](https://pypi.org/project/datasette-jellyfish/) [](https://github.com/simonw/datasette-jellyfish/releases) [](https://github.com/simonw/datasette-jellyfish/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-jellyfish/blob/main/LICENSE) Datasette plugin that adds custom SQL functions for fuzzy string matching, built on top of the [Jellyfish](https://github.com/jamesturk/jellyfish) Python library by James Turk and Michael Stephens. Interactive demos: * [soundex, metaphone, nysiis, match_rating_codex comparison](https://latest-with-plugins.datasette.io/fixtures?sql=SELECT%0D%0A++++soundex%28%3As%29%2C+%0D%0A++++metaphone%28%3As%29%2C+%0D%0A++++nysiis%28%3As%29%2C+%0D%0A++++match_rating_codex%28%3As%29&s=demo). * [distance functions comparison](https://latest-with-plugins.datasette.io/fixtures?sql=SELECT%0D%0A++++levenshtein_distance%28%3As1%2C+%3As2%29%2C%0D%0A++++damerau_levenshtein_distance%28%3As1%2C+%3As2%29%2C%0D%0A++++hamming_distance%28%3As1%2C+%3As2%29%2C%0D%0A++++jaro_similarity%28%3As1%2C+%3As2%29%2C%0D%0A++++jaro_winkler_similarity%28%3As1%2C+%3As2%29%2C%0D%0A++++match_rating_comparison%28%3As1%2C+%3As2%29%3B&s1=barrack+obama&s2=barrack+h+obama) Examples: SELECT soundex("hello"); -- Outputs H400 SELECT metaphone("hello"); -- Outputs HL SELECT nysiis("hello"); -- Outputs HAL SELECT match_rating_codex("hello"); -- Outputs HLL SELECT porter_stem("running"); -- Outputs run SELECT levenshtein_distance("hello", "hello world"); -- Outputs 6 SELECT damerau_levenshtein_distance("hello", "hello world"); -- Outputs 6 SELECT hamming_distance("hello", "hello wor… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-jellyfish" class="anchor" aria-hidden="true" href="#user-content-datasette-jellyfish"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-jellyfish</h1> <p><a href="https://pypi.org/project/datasette-jellyfish/" rel="nofollow"><img src="https://camo.githubusercontent.com/e05229cfd49e2fc6fbff79424545caee53b94da156d85d3f3bdb39ee9e32aef2/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d6a656c6c79666973682e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-jellyfish.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-jellyfish/releases"><img src="https://camo.githubusercontent.com/13a248cf10fa13fb53cb22841b0065f965423a4e0f5c17d19673603b2baca376/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d6a656c6c79666973683f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-jellyfish?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-jellyfish/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-jellyfish/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-jellyfish/blob/main/LICENSE"><img src="https://camo.git… | ||||||||
| 175321497 | MDEwOlJlcG9zaXRvcnkxNzUzMjE0OTc= | csv-diff | simonw/csv-diff | 0 | simonw 9599 | https://github.com/simonw/csv-diff | Python CLI tool and library for diffing CSV and JSON files | 0 | 2019-03-13T01:11:26Z | 2022-07-29T20:01:02Z | 2022-07-29T20:00:59Z | 34 | 198 | 198 | Python | 1 | 1 | 1 | 1 | 0 | 29 | 0 | 0 | 18 | Apache License 2.0 apache-2.0 | ["click", "csv", "datasette-io", "datasette-tool", "diff", "git-scraping"] | 29 | 18 | 198 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 29 | 7 | # csv-diff [](https://pypi.org/project/csv-diff/) [](https://github.com/simonw/csv-diff/releases) [](https://github.com/simonw/csv-diff/actions?query=workflow%3ATest) [](https://github.com/simonw/csv-diff/blob/main/LICENSE) Tool for viewing the difference between two CSV, TSV or JSON files. See [Generating a commit log for San Francisco’s official list of trees](https://simonwillison.net/2019/Mar/13/tree-history/) (and the [sf-tree-history repo commit log](https://github.com/simonw/sf-tree-history/commits)) for background information on this project. ## Installation pip install csv-diff ## Usage Consider two CSV files: `one.csv` id,name,age 1,Cleo,4 2,Pancakes,2 `two.csv` id,name,age 1,Cleo,5 3,Bailey,1 `csv-diff` can show a human-readable summary of differences between the files: $ csv-diff one.csv two.csv --key=id 1 row changed, 1 row added, 1 row removed 1 row changed Row 1 age: "4" => "5" 1 row added id: 3 name: Bailey age: 1 1 row removed id: 2 name: Pancakes age: 2 The `--key=id` option means that the `id` column should be treated as the unique key, to identify which records have changed. The tool will automatically detect if your files are comma- or tab-separated. You can over-ride this automatic detection and force the tool to use a specific format using `--format=tsv` or `--format=csv`. You can also feed it JSON files, provided they are a JSON array of objects where each object has the same keys. Use `--format=json` if your input files are JSON. Use `--show-unchanged` to include full details of the unchanged values for rows with at least one change in the diff output: % csv-diff one.csv two.c… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-csv-diff" class="anchor" aria-hidden="true" href="#user-content-csv-diff"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>csv-diff</h1> <p dir="auto"><a href="https://pypi.org/project/csv-diff/" rel="nofollow"><img src="https://camo.githubusercontent.com/75784b8c5ee65df6e894c25c0efe54d360e3b6a33714da9aa0c6bb86ede1f153/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6373762d646966662e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/csv-diff.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/csv-diff/releases"><img src="https://camo.githubusercontent.com/a8ece0f4436cb61b1524e3722c02363faf7aa45fe7e62f6634604f2c30421517/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6373762d646966663f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/csv-diff?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/csv-diff/actions?query=workflow%3ATest"><img src="https://github.com/simonw/csv-diff/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/csv-diff/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2… | 1 | public | 0 | 0 | |||||
| 175550127 | MDEwOlJlcG9zaXRvcnkxNzU1NTAxMjc= | yaml-to-sqlite | simonw/yaml-to-sqlite | 0 | simonw 9599 | https://github.com/simonw/yaml-to-sqlite | Utility for converting YAML files to SQLite | 0 | 2019-03-14T04:49:08Z | 2021-06-13T09:04:40Z | 2021-06-13T04:45:52Z | 19 | 36 | 36 | Python | 1 | 1 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["yaml", "sqlite", "datasette-io", "datasette-tool"] | 2 | 0 | 36 | main | {"admin": false, "push": false, "pull": false} | 2 | 1 | # yaml-to-sqlite [](https://pypi.org/project/yaml-to-sqlite/) [](https://github.com/simonw/yaml-to-sqlite/releases) [](https://github.com/simonw/yaml-to-sqlite/actions?query=workflow%3ATest) [](https://github.com/simonw/yaml-to-sqlite/blob/main/LICENSE) Load the contents of a YAML file into a SQLite database table. ``` $ yaml-to-sqlite --help Usage: yaml-to-sqlite [OPTIONS] DB_PATH TABLE YAML_FILE Convert YAML files to SQLite Options: --version Show the version and exit. --pk TEXT Column to use as a primary key --single-column TEXT If YAML file is a list of values, populate this column --help Show this message and exit. ``` ## Usage Given a `news.yml` file containing the following: ```yaml - date: 2021-06-05 body: |- [Datasette 0.57](https://docs.datasette.io/en/stable/changelog.html#v0-57) is out with an important security patch. - date: 2021-05-10 body: |- [Django SQL Dashboard](https://simonwillison.net/2021/May/10/django-sql-dashboard/) is a new tool that brings a useful authenticated subset of Datasette to Django projects that are built on top of PostgreSQL. ``` Running this command: ```bash $ yaml-to-sqlite news.db stories news.yml ``` Will create a database file with this schema: ```bash $ sqlite-utils schema news.db CREATE TABLE [stories] ( [date] TEXT, [body] TEXT ); ``` The `--pk` option can be used to set a column as the primary key for the table: ```bash $ yaml-to-sqlite news.db stories news.yml --pk date $ sqlite-utils schema news.db CREATE TABLE [stories] ( [date] TEXT PRIMARY KEY, [body] TEXT ); ``` ## Single column YAML lists The `--single-column` option can be used when the YAML file is a list of values, for … | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-yaml-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-yaml-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>yaml-to-sqlite</h1> <p><a href="https://pypi.org/project/yaml-to-sqlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/32afda5e7bc913df42ad343b589f5d20c4fb51d9755037f4af1df86149cd0d94/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f79616d6c2d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/yaml-to-sqlite.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/yaml-to-sqlite/releases"><img src="https://camo.githubusercontent.com/83cd14b53497376686dfabbadad49ff0e485a8a84f8266713a3c89fe7181ccbc/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f79616d6c2d746f2d73716c6974653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/yaml-to-sqlite?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/yaml-to-sqlite/actions?query=workflow%3ATest"><img src="https://github.com/simonw/yaml-to-sqlite/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/yaml-to-sqlite/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4… | |||||||||
| 184168864 | MDEwOlJlcG9zaXRvcnkxODQxNjg4NjQ= | datasette-render-html | simonw/datasette-render-html | 0 | simonw 9599 | https://github.com/simonw/datasette-render-html | Plugin for selectively rendering the HTML is specific columns | 0 | 2019-04-30T01:21:25Z | 2020-09-24T04:44:47Z | 2021-03-17T03:57:13Z | 8 | 2 | 2 | Python | 1 | 1 | 1 | 1 | 0 | 2 | 0 | 0 | 1 | ["datasette", "datasette-plugin", "datasette-io"] | 2 | 1 | 2 | master | {"admin": false, "push": false, "pull": false} | 2 | 1 | # datasette-render-html [](https://pypi.org/project/datasette-render-html/) [](https://circleci.com/gh/simonw/datasette-render-html) [](https://github.com/simonw/datasette-render-html/blob/master/LICENSE) This Datasette plugin lets you configure Datasette to render specific columns as HTML in the table and row interfaces. This means you can store HTML in those columns and have it rendered as such on those pages. If you have a database called `docs.db` containing a `glossary` table and you want the `definition` column in that table to be rendered as HTML, you would use a `metadata.json` file that looks like this: { "databases": { "docs": { "tables": { "glossary": { "plugins": { "datasette-render-html": { "columns": ["definition"] } } } } } } } ## Security This plugin allows HTML to be rendered exactly as it is stored in the database. As such, you should be sure only to use this against columns with content that you trust - otherwise you could open yourself up to an [XSS attack](https://owasp.org/www-community/attacks/xss/). It's possible to configure this plugin to apply to columns with specific names across whole databases or the full Datasette instance, but doing so is not safe. It could open you up to XSS vulnerabilities where an attacker composes a SQL query that results in a column containing unsafe HTML. As such, you should only use this plugin against specific columns in specific tables, as shown in the example above. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-render-html" class="anchor" aria-hidden="true" href="#user-content-datasette-render-html"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-render-html</h1> <p><a href="https://pypi.org/project/datasette-render-html/" rel="nofollow"><img src="https://camo.githubusercontent.com/d6cf26d5dc49484049bd4fa79e43a5d4571ca85ca03001436695b0c9c6046bf5/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d72656e6465722d68746d6c2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-render-html.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/simonw/datasette-render-html" rel="nofollow"><img src="https://camo.githubusercontent.com/27f16d9427d77d3a778994ee51b122ccd4e070ddb3e698e778506b4ac7d88bd2/68747470733a2f2f636972636c6563692e636f6d2f67682f73696d6f6e772f6461746173657474652d72656e6465722d68746d6c2e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/simonw/datasette-render-html.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-render-html/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.… | ||||||||||
| 189321671 | MDEwOlJlcG9zaXRvcnkxODkzMjE2NzE= | datasette-jq | simonw/datasette-jq | 0 | simonw 9599 | https://github.com/simonw/datasette-jq | Datasette plugin that adds a custom SQL function for executing jq expressions against JSON values | 0 | 2019-05-30T01:06:31Z | 2020-12-24T17:35:27Z | 2020-04-09T05:43:43Z | 11 | 10 | 10 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["jq", "datasette", "datasette-plugin", "datasette-io"] | 0 | 0 | 10 | master | {"admin": false, "push": false, "pull": false} | 0 | 2 | # datasette-jq [](https://pypi.org/project/datasette-jq/) [](https://circleci.com/gh/simonw/datasette-jq) [](https://github.com/simonw/datasette-jq/blob/master/LICENSE) Datasette plugin that adds custom SQL functions for executing [jq](https://stedolan.github.io/jq/) expressions against JSON values. Install this plugin in the same environment as Datasette to enable the `jq()` SQL function. Usage: select jq( column_with_json, "{top_3: .classifiers[:3], v: .version}" ) See [the jq manual](https://stedolan.github.io/jq/manual/#Basicfilters) for full details of supported expression syntax. ## Interactive demo You can try this plugin out at [datasette-jq-demo.datasette.io](https://datasette-jq-demo.datasette.io/) Sample query: select package, "https://pypi.org/project/" || package || "/" as url, jq(info, "{summary: .info.summary, author: .info.author, versions: .releases|keys|reverse}") from packages [Try this query out](https://datasette-jq-demo.datasette.io/demo?sql=select+package%2C+%22https%3A%2F%2Fpypi.org%2Fproject%2F%22+%7C%7C+package+%7C%7C+%22%2F%22+as+url%2C%0D%0Ajq%28info%2C+%22%7Bsummary%3A+.info.summary%2C+author%3A+.info.author%2C+versions%3A+.releases%7Ckeys%7Creverse%7D%22%29%0D%0Afrom+packages) in the interactive demo. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-jq" class="anchor" aria-hidden="true" href="#user-content-datasette-jq"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-jq</h1> <p><a href="https://pypi.org/project/datasette-jq/" rel="nofollow"><img src="https://camo.githubusercontent.com/c2171714e633d8829fa1aa20a14db54e2fd581574883e34eb1c684abd5c40963/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d6a712e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-jq.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/simonw/datasette-jq" rel="nofollow"><img src="https://camo.githubusercontent.com/95b100e2cf4b8cda790f4e9b37a3eee67f56566f45acf66097aba367f649209e/68747470733a2f2f636972636c6563692e636f6d2f67682f73696d6f6e772f6461746173657474652d6a712e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/simonw/datasette-jq.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-jq/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" style="max-width:100%;"></a></p> <p>Datasette plugin that adds custom SQL functions for executing <a hr… | |||||||||
| 190950781 | MDEwOlJlcG9zaXRvcnkxOTA5NTA3ODE= | datasette-bplist | simonw/datasette-bplist | 0 | simonw 9599 | https://github.com/simonw/datasette-bplist | Datasette plugin for working with Apple's binary plist format | 0 | 2019-06-09T01:15:01Z | 2021-06-07T18:05:00Z | 2019-06-09T01:17:19Z | 7 | 9 | 9 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | Apache License 2.0 apache-2.0 | ["bplist", "datasette", "datasette-plugin", "datasette-io"] | 0 | 1 | 9 | master | {"admin": false, "push": false, "pull": false} | 0 | 0 | # datasette-bplist [](https://pypi.org/project/datasette-bplist/) [](https://circleci.com/gh/simonw/datasette-bplist) [](https://github.com/simonw/datasette-bplist/blob/master/LICENSE) Datasette plugin for working with Apple's [binary plist](https://en.wikipedia.org/wiki/Property_list) format. This plugin adds two features: a display hook and a SQL function. The display hook will detect any database values that are encoded using the binary plist format. It will decode them, convert them into JSON and display them pretty-printed in the Datasette UI. The SQL function `bplist_to_json(value)` can be used inside a SQL query to convert a binary plist value into a JSON string. This can then be used with SQLite's `json_extract()` function or with the [datasette-jq](https://github.com/simonw/datasette-jq) plugin to further analyze that data as part of a SQL query. Install this plugin in the same environment as Datasette to enable this new functionality: pip install datasette-bplist ## Trying it out If you use a Mac you already have plenty of SQLite databases that contain binary plist data. One example is the database that powers the Apple Photos app. This database tends to be locked, so you will need to create a copy of the database in order to run queries against it: cp ~/Pictures/Photos\ Library.photoslibrary/database/photos.db /tmp/photos.db The database also makes use of custom SQLite extensions which prevent it from opening in Datasette. You can work around this by exporting the data that you want to experiment with into a new SQLite file. I recommend trying this plugin against the `RKMaster_dataNote` table, which contains plist-encoded EXIF metadata about the photos you have taken. You can export that table into a fresh database like so: sqlite3 /tmp/photos.db ".dump RKMaster_dataNote" | … | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-bplist" class="anchor" aria-hidden="true" href="#user-content-datasette-bplist"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-bplist</h1> <p><a href="https://pypi.org/project/datasette-bplist/" rel="nofollow"><img src="https://camo.githubusercontent.com/a6a0093ab5212f3444dc00643b1dddd80bba4eea970443b0cbab79157ebab0ea/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d62706c6973742e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-bplist.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/simonw/datasette-bplist" rel="nofollow"><img src="https://camo.githubusercontent.com/b4666b829d10d25169928fd8de374c652be7345117ec655c69ba8e6d8b9d2421/68747470733a2f2f636972636c6563692e636f6d2f67682f73696d6f6e772f6461746173657474652d62706c6973742e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/simonw/datasette-bplist.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-bplist/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" style="max-width:100%;"></a></p> <p>Datasette plugin fo… | |||||||||
| 191022928 | MDEwOlJlcG9zaXRvcnkxOTEwMjI5Mjg= | datasette-render-binary | simonw/datasette-render-binary | 0 | simonw 9599 | https://github.com/simonw/datasette-render-binary | Datasette plugin for rendering binary data | 0 | 2019-06-09T15:25:52Z | 2021-06-02T09:29:20Z | 2019-06-13T16:14:31Z | 62 | 7 | 7 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-plugin", "datasette-io"] | 0 | 1 | 7 | master | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-render-binary [](https://pypi.org/project/datasette-render-binary/) [](https://circleci.com/gh/simonw/datasette-render-binary) [](https://github.com/simonw/datasette-render-binary/blob/master/LICENSE) Datasette plugin for rendering binary data. Install this plugin in the same environment as Datasette to enable this new functionality: pip install datasette-render-binary Binary data in cells will now be rendered as a mixture of characters and octets.  | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-render-binary" class="anchor" aria-hidden="true" href="#user-content-datasette-render-binary"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-render-binary</h1> <p><a href="https://pypi.org/project/datasette-render-binary/" rel="nofollow"><img src="https://camo.githubusercontent.com/a83615e99f9534c53bfc77b437ad7e5b60431113905c2dcc6a1832df12ce734a/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d72656e6465722d62696e6172792e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-render-binary.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/simonw/datasette-render-binary" rel="nofollow"><img src="https://camo.githubusercontent.com/969d0483aca477a61ba4afc0f0aa6ed38f54509ea1376031d455864f01ed217a/68747470733a2f2f636972636c6563692e636f6d2f67682f73696d6f6e772f6461746173657474652d72656e6465722d62696e6172792e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/simonw/datasette-render-binary.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-render-binary/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/li… | |||||||||
| 195087137 | MDEwOlJlcG9zaXRvcnkxOTUwODcxMzc= | datasette-auth-github | simonw/datasette-auth-github | 0 | simonw 9599 | https://github.com/simonw/datasette-auth-github | Datasette plugin that authenticates users against GitHub | 0 | 2019-07-03T16:02:53Z | 2021-06-03T11:42:54Z | 2021-02-25T06:40:17Z | https://datasette-auth-github-demo.datasette.io/ | 119 | 34 | 34 | Python | 1 | 1 | 1 | 1 | 0 | 4 | 0 | 0 | 3 | Apache License 2.0 apache-2.0 | ["asgi", "datasette", "datasette-plugin", "datasette-io"] | 4 | 3 | 34 | main | {"admin": false, "push": false, "pull": false} | 4 | 1 | # datasette-auth-github [](https://pypi.org/project/datasette-auth-github/) [](https://github.com/simonw/datasette-auth-github/releases) [](https://github.com/simonw/datasette-auth-github/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-auth-github/blob/main/LICENSE) Datasette plugin that authenticates users against GitHub. <!-- toc --> - [Setup instructions](#setup-instructions) - [The authenticated actor](#the-authenticated-actor) - [Restricting access to specific users](#restricting-access-to-specific-users) - [Restricting access to specific GitHub organizations or teams](#restricting-access-to-specific-github-organizations-or-teams) - [What to do if a user is removed from an organization or team](#what-to-do-if-a-user-is-removed-from-an-organization-or-team) <!-- tocstop --> ## Setup instructions * Install the plugin: `datasette install datasette-auth-github` * Create a GitHub OAuth app: https://github.com/settings/applications/new * Set the Authorization callback URL to `http://127.0.0.1:8001/-/github-auth-callback` * Create a `metadata.json` file with the following structure: ```json { "title": "datasette-auth-github demo", "plugins": { "datasette-auth-github": { "client_id": {"$env": "GITHUB_CLIENT_ID"}, "client_secret": {"$env": "GITHUB_CLIENT_SECRET"} } } } ``` Now you can start Datasette like this, passing in the secrets as environment variables: $ GITHUB_CLIENT_ID=XXX GITHUB_CLIENT_SECRET=YYY datasette \ fixtures.db -m metadata.json Note that hard-coding secrets in `metadata.json` is a bad idea as they will be visible to anyone who can navigate to `/-/metadata`. Instead, we use Da… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-auth-github" class="anchor" aria-hidden="true" href="#user-content-datasette-auth-github"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-auth-github</h1> <p><a href="https://pypi.org/project/datasette-auth-github/" rel="nofollow"><img src="https://camo.githubusercontent.com/a3e596637d6128f29e3fcfeb8e50ecbe5c7e1c328e94c5d338238fa0f70a2a86/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d617574682d6769746875622e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-auth-github.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-auth-github/releases"><img src="https://camo.githubusercontent.com/86aa92461a20542b5de5e6d64b24503b5b58f83bf66a98a86bc33ea443ed93b8/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d617574682d6769746875623f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-auth-github?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-auth-github/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-auth-github/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-auth-github/blob/main/LICENSE… | ||||||||
| 195145678 | MDEwOlJlcG9zaXRvcnkxOTUxNDU2Nzg= | sqlite-diffable | simonw/sqlite-diffable | 0 | simonw 9599 | https://github.com/simonw/sqlite-diffable | Tools for dumping/loading a SQLite database to diffable directory structure | 0 | 2019-07-04T00:58:46Z | 2022-07-12T17:00:19Z | 2022-08-18T22:49:29Z | 30 | 42 | 42 | Python | 1 | 1 | 1 | 1 | 0 | 3 | 0 | 0 | 3 | Apache License 2.0 apache-2.0 | ["datasette-io", "datasette-tool", "sqlite"] | 3 | 3 | 42 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 3 | 1 | # sqlite-diffable [](https://pypi.org/project/sqlite-diffable/) [](https://github.com/simonw/sqlite-diffable/releases) [](https://github.com/simonw/sqlite-diffable/blob/main/LICENSE) Tools for dumping/loading a SQLite database to diffable directory structure ## Installation pip install sqlite-diffable ## Demo The repository at [simonw/simonwillisonblog-backup](https://github.com/simonw/simonwillisonblog-backup) contains a backup of the database on my blog, https://simonwillison.net/ - created using this tool. ## Dumping a database Given a SQLite database called `fixtures.db` containing a table `facetable`, the following will dump out that table to the `dump/` directory: sqlite-diffable dump fixtures.db dump/ facetable To dump out every table in that database, use `--all`: sqlite-diffable dump fixtures.db dump/ --all ## Loading a database To load a previously dumped database, run the following: sqlite-diffable load restored.db dump/ This will show an error if any of the tables that are being restored already exist in the database file. You can replace those tables (dropping them before restoring them) using the `--replace` option: sqlite-diffable load restored.db dump/ --replace ## Converting to JSON objects Table rows are stored in the `.ndjson` files as newline-delimited JSON arrays, like this: ``` ["a", "a", "a-a", 63, null, 0.7364712141640124, "$null"] ["a", "b", "a-b", 51, null, 0.6020187290499803, "$null"] ``` Sometimes it can be more convenient to work with a list of JSON objects. The `sqlite-diffable objects` command can read a `.ndjson` file and its accompanying `.metadata.json` file and output JSON objects to standard output: sqlite-diffable objects fixtures.db dump/sortable.ndjson The output of that command looks somethi… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-sqlite-diffable" class="anchor" aria-hidden="true" href="#user-content-sqlite-diffable"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>sqlite-diffable</h1> <p dir="auto"><a href="https://pypi.org/project/sqlite-diffable/" rel="nofollow"><img src="https://camo.githubusercontent.com/f397aed437dd402178061cc28cd230ddaa228d7a19d4e6e33dd7d9d6b9aa7016/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f73716c6974652d6469666661626c652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/sqlite-diffable.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/sqlite-diffable/releases"><img src="https://camo.githubusercontent.com/ad89df075a7b5a43a53000aaf22188af53405e2b5177102cb1b550954996dac4/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f73716c6974652d6469666661626c653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/sqlite-diffable?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/sqlite-diffable/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-sr… | 1 | public | 0 | 0 | |||||
| 195696804 | MDEwOlJlcG9zaXRvcnkxOTU2OTY4MDQ= | datasette-cors | simonw/datasette-cors | 0 | simonw 9599 | https://github.com/simonw/datasette-cors | Datasette plugin for configuring CORS headers | 0 | 2019-07-07T21:03:11Z | 2021-02-27T00:31:13Z | 2019-07-11T04:40:57Z | 11 | 9 | 9 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-plugin", "datasette-io"] | 0 | 1 | 9 | master | {"admin": false, "push": false, "pull": false} | 0 | 3 | # datasette-cors [](https://pypi.org/project/datasette-cors/) [](https://circleci.com/gh/simonw/datasette-cors) [](https://github.com/simonw/datasette-cors/blob/master/LICENSE) Datasette plugin for configuring CORS headers, based on https://github.com/simonw/asgi-cors You can use this plugin to allow JavaScript running on a whitelisted set of domains to make `fetch()` calls to the JSON API provided by your Datasette instance. ## Installation pip install datasette-cors ## Configuration You need to add some configuration to your Datasette `metadata.json` file for this plugin to take effect. To whitelist specific domains, use this: ```json { "plugins": { "datasette-cors": { "hosts": ["https://www.example.com"] } } } ``` You can also whitelist patterns like this: ```json { "plugins": { "datasette-cors": { "host_wildcards": ["https://*.example.com"] } } } ``` ## Testing it To test this plugin out, run it locally by saving one of the above examples as `metadata.json` and running this: $ datasette --memory -m metadata.json Now visit https://www.example.com/ in your browser, open the browser developer console and paste in the following: ```javascript fetch("http://127.0.0.1:8001/:memory:.json?sql=select+sqlite_version%28%29").then(r => r.json()).then(console.log) ``` If the plugin is running correctly, you will see the JSON response output to the console. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-cors" class="anchor" aria-hidden="true" href="#user-content-datasette-cors"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-cors</h1> <p><a href="https://pypi.org/project/datasette-cors/" rel="nofollow"><img src="https://camo.githubusercontent.com/3f4dc5b1725858ca83723674cadd1a59373f3f4265fb01eb43c91ca9380b24bb/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d636f72732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-cors.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/simonw/datasette-cors" rel="nofollow"><img src="https://camo.githubusercontent.com/831507d824fb545803ebf51bf318c316eb5f9405e6cc9dabcb4835f356f4053d/68747470733a2f2f636972636c6563692e636f6d2f67682f73696d6f6e772f6461746173657474652d636f72732e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/simonw/datasette-cors.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-cors/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" style="max-width:100%;"></a></p> <p>Datasette plugin for configuring CORS heade… | |||||||||
| 197431109 | MDEwOlJlcG9zaXRvcnkxOTc0MzExMDk= | dogsheep-beta | dogsheep/dogsheep-beta | 0 | dogsheep 53015001 | https://github.com/dogsheep/dogsheep-beta | Build a search index across content from multiple SQLite database tables and run faceted searches against it using Datasette | 0 | 2019-07-17T17:07:26Z | 2021-06-13T14:39:01Z | 2021-06-13T14:38:59Z | https://dogsheep.github.io/ | 61 | 78 | 78 | Python | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | ["search", "datasette", "datasette-plugin", "dogsheep", "datasette-io", "datasette-tool"] | 0 | 11 | 78 | main | {"admin": false, "push": false, "pull": false} | dogsheep 53015001 | 0 | 4 | # dogsheep-beta [](https://pypi.org/project/dogsheep-beta/) [](https://github.com/dogsheep/beta/releases) [](https://github.com/dogsheep/beta/actions?query=workflow%3ATest) [](https://github.com/dogsheep/beta/blob/main/LICENSE) Build a search index across content from multiple SQLite database tables and run faceted searches against it using Datasette ## Example A live example of this plugin is running at https://datasette.io/-/beta - configured using [this YAML file](https://github.com/simonw/datasette.io/blob/main/templates/dogsheep-beta.yml). Read more about how this example works in [Building a search engine for datasette.io](https://simonwillison.net/2020/Dec/19/dogsheep-beta/). ## Installation Install this tool like so: $ pip install dogsheep-beta ## Usage Run the indexer using the `dogsheep-beta` command-line tool: $ dogsheep-beta index dogsheep.db config.yml The `config.yml` file contains details of the databases and document types that should be indexed: ```yaml twitter.db: tweets: sql: |- select tweets.id as key, 'Tweet by @' || users.screen_name as title, tweets.created_at as timestamp, tweets.full_text as search_1 from tweets join users on tweets.user = users.id users: sql: |- select id as key, name || ' @' || screen_name as title, created_at as timestamp, description as search_1 from users ``` This will create a `search_index` table in the `dogsheep.db` database populated by data from those SQL queries. By default the search index that this tool creates will be configured for Porter stemming.… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-dogsheep-beta" class="anchor" aria-hidden="true" href="#user-content-dogsheep-beta"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>dogsheep-beta</h1> <p><a href="https://pypi.org/project/dogsheep-beta/" rel="nofollow"><img src="https://camo.githubusercontent.com/f8d17c422fbd622ab366c57086226b7f90b6ab9057aa2f3b9f6844dd29bac733/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f646f6773686565702d626574612e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/dogsheep-beta.svg" style="max-width:100%;"></a> <a href="https://github.com/dogsheep/beta/releases"><img src="https://camo.githubusercontent.com/341e696d2cba7197bea24e27cc6db041753c20587a00ced21e77516d26a54730/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f646f6773686565702f626574613f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/dogsheep/beta?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/dogsheep/beta/actions?query=workflow%3ATest"><img src="https://github.com/dogsheep/beta/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/dogsheep/beta/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f626… | ||||||||
| 197882382 | MDEwOlJlcG9zaXRvcnkxOTc4ODIzODI= | healthkit-to-sqlite | dogsheep/healthkit-to-sqlite | 0 | dogsheep 53015001 | https://github.com/dogsheep/healthkit-to-sqlite | Convert an Apple Healthkit export zip to a SQLite database | 0 | 2019-07-20T05:03:12Z | 2021-08-20T00:55:34Z | 2021-08-20T00:56:17Z | https://datasette.io/tools/healthkit-to-sqlite | 29 | 91 | 91 | Python | 1 | 1 | 1 | 1 | 0 | 4 | 0 | 0 | 8 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-tool", "dogsheep", "healthkit", "sqlite"] | 4 | 8 | 91 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | dogsheep 53015001 | 4 | 3 | # healthkit-to-sqlite [](https://pypi.org/project/healthkit-to-sqlite/) [](https://github.com/dogsheep/healthkit-to-sqlite/releases) [](https://github.com/dogsheep/healthkit-to-sqlite/actions?query=workflow%3ATest) [](https://github.com/dogsheep/healthkit-to-sqlite/blob/main/LICENSE) Convert an Apple Healthkit export zip to a SQLite database ## How to install $ pip install healthkit-to-sqlite ## How to use First you need to export your Apple HealthKit data. 1. On your iPhone, open the "Health" app 2. Click the profile icon in the top right 3. Click "Export Health Data" at the bottom of that page 4. Save the resulting file somewhere you can access it, or AirDrop it directly to your laptop. Now you can convert the resulting `export.zip` file to SQLite like so: $ healthkit-to-sqlite export.zip healthkit.db A progress bar will be displayed. You can disable this using `--silent`. ``` Importing from HealthKit [#-------------] 5% 00:01:33 ``` You can explore the resulting data using [Datasette](https://datasette.readthedocs.io/) like this: $ datasette healthkit.db | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-healthkit-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-healthkit-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>healthkit-to-sqlite</h1> <p><a href="https://pypi.org/project/healthkit-to-sqlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/d8fd72edb8183afd279306fabff220e4c1670906c58c256e9e3bd7fbdea8c76f/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6865616c74686b69742d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/healthkit-to-sqlite.svg" style="max-width:100%;"></a> <a href="https://github.com/dogsheep/healthkit-to-sqlite/releases"><img src="https://camo.githubusercontent.com/9092a0b3a68a53e13d8470fdf4909dda3cabe09e9e74b53960ad2063c79ae8e4/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f646f6773686565702f6865616c74686b69742d746f2d73716c6974653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/dogsheep/healthkit-to-sqlite?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/dogsheep/healthkit-to-sqlite/actions?query=workflow%3ATest"><img src="https://github.com/dogsheep/healthkit-to-sqlite/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/dogsheep/healthkit-to-sqlite/blob/main/LICENSE"><img src="ht… | |||||||
| 205429375 | MDEwOlJlcG9zaXRvcnkyMDU0MjkzNzU= | swarm-to-sqlite | dogsheep/swarm-to-sqlite | 0 | dogsheep 53015001 | https://github.com/dogsheep/swarm-to-sqlite | Create a SQLite database containing your checkin history from Foursquare Swarm | 0 | 2019-08-30T17:37:29Z | 2021-02-22T07:58:39Z | 2021-01-18T04:36:03Z | 49 | 37 | 37 | Python | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | Apache License 2.0 apache-2.0 | ["sqlite", "foursquare", "swarm", "foursquare-api", "datasette", "dogsheep", "datasette-io", "datasette-tool"] | 1 | 1 | 37 | main | {"admin": false, "push": false, "pull": false} | dogsheep 53015001 | 1 | 3 | # swarm-to-sqlite [](https://pypi.org/project/swarm-to-sqlite/) [](https://github.com/dogsheep/swarm-to-sqlite/releases) [](https://github.com/dogsheep/swarm-to-sqlite/actions?query=workflow%3ATest) [](https://github.com/dogsheep/swarm-to-sqlite/blob/main/LICENSE) Create a SQLite database containing your checkin history from Foursquare Swarm. ## How to install $ pip install swarm-to-sqlite ## Usage You will need to first obtain a valid OAuth token for your Foursquare account. You can do so using this tool: https://your-foursquare-oauth-token.glitch.me/ Simplest usage is to simply provide the name of the database file you wish to write to. The tool will prompt you to paste in your token, and will then download your checkins and store them in the specified database file. $ swarm-to-sqlite checkins.db Please provide your Foursquare OAuth token: Importing 3699 checkins [#########-----------------------] 27% 00:02:31 You can also pass the token as a command-line option: $ swarm-to-sqlite checkins.db --token=XXX Or as an environment variable: $ export FOURSQUARE_TOKEN=XXX $ swarm-to-sqlite checkins.db To retrieve just checkins within the past X hours, days or weeks, use the `--since=` option. For example, to pull only checkins that happened within the last 10 days use: $ swarm-to-sqlite checkins.db --token=XXX --since=10d Use `2w` for two weeks, `10h` for ten hours, `3d` for three days. In addition to saving the checkins to a database, you can also write them to a JSON file using the `--save` option: $ swarm-to-sqlite checkins.db --save=checkins.json Having done this, you can re-import checkins directly from that file (rather than making API calls to … | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-swarm-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-swarm-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>swarm-to-sqlite</h1> <p><a href="https://pypi.org/project/swarm-to-sqlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/336537cfcc544f29699c00a2aa4b5a199c9a21f53e43aff833e268e664735ed9/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f737761726d2d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/swarm-to-sqlite.svg" style="max-width:100%;"></a> <a href="https://github.com/dogsheep/swarm-to-sqlite/releases"><img src="https://camo.githubusercontent.com/3a244282c89501bdea48af0387ebed5c0a03d41ef8f87331ed3fe63421f42c4f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f646f6773686565702f737761726d2d746f2d73716c6974653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/dogsheep/swarm-to-sqlite?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/dogsheep/swarm-to-sqlite/actions?query=workflow%3ATest"><img src="https://github.com/dogsheep/swarm-to-sqlite/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/dogsheep/swarm-to-sqlite/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb084… | ||||||||
| 206156866 | MDEwOlJlcG9zaXRvcnkyMDYxNTY4NjY= | twitter-to-sqlite | dogsheep/twitter-to-sqlite | 0 | dogsheep 53015001 | https://github.com/dogsheep/twitter-to-sqlite | Save data from Twitter to a SQLite database | 0 | 2019-09-03T19:30:08Z | 2021-12-26T18:08:43Z | 2021-12-26T18:08:40Z | 298 | 269 | 269 | Python | 1 | 1 | 1 | 1 | 0 | 13 | 0 | 0 | 10 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-tool", "dogsheep", "sqlite", "twitter", "twitter-api"] | 13 | 10 | 269 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | dogsheep 53015001 | 13 | 5 | # twitter-to-sqlite [](https://pypi.org/project/twitter-to-sqlite/) [](https://github.com/dogsheep/twitter-to-sqlite/releases) [](https://github.com/dogsheep/twitter-to-sqlite/actions?query=workflow%3ATest) [](https://github.com/dogsheep/twitter-to-sqlite/blob/main/LICENSE) Save data from Twitter to a SQLite database. **This tool currently uses Twitter API v1**. You may be unable to use it if you do not have an API key for that version of the API. <!-- toc --> - [How to install](#how-to-install) - [Authentication](#authentication) - [Retrieving tweets by specific accounts](#retrieving-tweets-by-specific-accounts) - [Retrieve user profiles in bulk](#retrieve-user-profiles-in-bulk) - [Retrieve tweets in bulk](#retrieve-tweets-in-bulk) - [Retrieving Twitter followers](#retrieving-twitter-followers) - [Retrieving friends](#retrieving-friends) - [Retrieving favorited tweets](#retrieving-favorited-tweets) - [Retrieving Twitter lists](#retrieving-twitter-lists) - [Retrieving Twitter list memberships](#retrieving-twitter-list-memberships) - [Retrieving just follower and friend IDs](#retrieving-just-follower-and-friend-ids) - [Retrieving tweets from your home timeline](#retrieving-tweets-from-your-home-timeline) - [Retrieving your mentions](#retrieving-your-mentions) - [Providing input from a SQL query with --sql and --attach](#providing-input-from-a-sql-query-with---sql-and---attach) - [Running searches](#running-searches) - [Capturing tweets in real-time with track and follow](#capturing-tweets-in-real-time-with-track-and-follow) * [track](#track) * [follow](#follow) - [Importing data from your Twitter archive](#importing-data-from-your-twitter-archive) - [Design notes](#design-notes) <!-- … | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-twitter-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-twitter-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>twitter-to-sqlite</h1> <p dir="auto"><a href="https://pypi.org/project/twitter-to-sqlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/fce3d286daf4a0ac037476f32a7f1885dd7f90329ec1df80f7fe6b9322c72f5c/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f747769747465722d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/twitter-to-sqlite.svg" style="max-width: 100%;"></a> <a href="https://github.com/dogsheep/twitter-to-sqlite/releases"><img src="https://camo.githubusercontent.com/e1228185d86e3eb446efcb27ff81748cdad3b90ac14ae58c61dab61a90bb992d/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f646f6773686565702f747769747465722d746f2d73716c6974653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/dogsheep/twitter-to-sqlite?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/dogsheep/twitter-to-sqlite/actions?query=workflow%3ATest"><img src="https://github.com/dogsheep/twitter-to-sqlite/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/dogsheep/twitter-to-sqlite/blob/main/LICENSE"><img src="https… | 1 | public | 0 | |||||
| 206202864 | MDEwOlJlcG9zaXRvcnkyMDYyMDI4NjQ= | inaturalist-to-sqlite | dogsheep/inaturalist-to-sqlite | 0 | dogsheep 53015001 | https://github.com/dogsheep/inaturalist-to-sqlite | Create a SQLite database containing your observation history from iNaturalist | 0 | 2019-09-04T01:21:21Z | 2020-12-19T05:18:38Z | 2020-10-22T00:08:58Z | 17 | 2 | 2 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["sqlite", "inaturalist", "datasette", "dogsheep", "datasette-io", "datasette-tool"] | 0 | 0 | 2 | master | {"admin": false, "push": false, "pull": false} | dogsheep 53015001 | 0 | 1 | # inaturalist-to-sqlite [](https://pypi.org/project/inaturalist-to-sqlite/) [](https://circleci.com/gh/dogsheep/inaturalist-to-sqlite) [](https://github.com/dogsheep/inaturalist-to-sqlite/blob/master/LICENSE) Create a SQLite database containing your observation history from [iNaturalist](https://www.inaturalist.org/). ## How to install $ pip install inaturalist-to-sqlite ## Usage $ inaturalist-to-sqlite inaturalist.db yourusername (Or try `simonw` if you don't yet have an iNaturalist account) This will import all of your iNaturalist observations into a SQLite database called `inaturalist.db`. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-inaturalist-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-inaturalist-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>inaturalist-to-sqlite</h1> <p><a href="https://pypi.org/project/inaturalist-to-sqlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/0b4aee6bb6f3aeb706c5195fce3537b66445f052f38021aefeb48672cf06cf74/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f696e61747572616c6973742d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/inaturalist-to-sqlite.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/dogsheep/inaturalist-to-sqlite" rel="nofollow"><img src="https://camo.githubusercontent.com/96dcb5c0cfa03bf010686f57c71dfef278ab6aaa53eb39cb48d28bde427c55b7/68747470733a2f2f636972636c6563692e636f6d2f67682f646f6773686565702f696e61747572616c6973742d746f2d73716c6974652e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/dogsheep/inaturalist-to-sqlite.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/dogsheep/inaturalist-to-sqlite/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%2… | ||||||||
| 206649770 | MDEwOlJlcG9zaXRvcnkyMDY2NDk3NzA= | google-takeout-to-sqlite | dogsheep/google-takeout-to-sqlite | 0 | dogsheep 53015001 | https://github.com/dogsheep/google-takeout-to-sqlite | Save data from Google Takeout to a SQLite database | 0 | 2019-09-05T20:15:15Z | 2021-06-08T15:31:47Z | 2021-02-24T00:34:55Z | 14 | 51 | 51 | Python | 1 | 1 | 1 | 1 | 0 | 4 | 0 | 0 | 6 | Apache License 2.0 apache-2.0 | ["google", "sqlite", "datasette", "dogsheep", "datasette-io", "datasette-tool"] | 4 | 6 | 51 | master | {"admin": false, "push": false, "pull": false} | dogsheep 53015001 | 4 | 3 | # google-takeout-to-sqlite [](https://pypi.org/project/google-takeout-to-sqlite/) [](https://circleci.com/gh/dogsheep/google-takeout-to-sqlite) [](https://github.com/dogsheep/google-takeout-to-sqlite/blob/master/LICENSE) Save data from google-takeout to a SQLite database. ## How to install $ pip install google-takeout-to-sqlite Request your Google data from https://takeout.google.com/ - wait for the email and download the zip file. This tool only supports a subset of the available options. More will be added over time. ## My Activity You can request the "My Activity" export and then import it with the following command: $ google-takeout-to-sqlite my-activity takeout.db ~/Downloads/takeout-20190530.zip This will create a database file called `takeout.db` if one does not already exist. ## Location History Your location history records latitude, longitude and timestame for where Google has tracked your location. You can import it using this command: $ google-takeout-to-sqlite location-history takeout.db ~/Downloads/takeout-20190530.zip ## Browsing your data with Datasette Once you have imported Google data into a SQLite database file you can browse your data using [Datasette](https://github.com/simonw/datasette). Install Datasette like so: $ pip install datasette Now browse your data by running this and then visiting `http://localhost:8001/` $ datasette takeout.db Install the [datasette-cluster-map](https://github.com/simonw/datasette-cluster-map) plugin to see your location history on a map: $ pip install datasette-cluster-map | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-google-takeout-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-google-takeout-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>google-takeout-to-sqlite</h1> <p><a href="https://pypi.org/project/google-takeout-to-sqlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/fb9e0c4c7734b2904f2b1aaaa4ce05fa195167989240be80a7c8e56e2b2a000e/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f676f6f676c652d74616b656f75742d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/google-takeout-to-sqlite.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/dogsheep/google-takeout-to-sqlite" rel="nofollow"><img src="https://camo.githubusercontent.com/41bc34953e618d9a884ec9a8bad7d759bf580fc6b7c27982d3c4af4531121246/68747470733a2f2f636972636c6563692e636f6d2f67682f646f6773686565702f676f6f676c652d74616b656f75742d746f2d73716c6974652e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/dogsheep/google-takeout-to-sqlite.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/dogsheep/google-takeout-to-sqlite/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://i… | ||||||||
| 207052882 | MDEwOlJlcG9zaXRvcnkyMDcwNTI4ODI= | github-to-sqlite | dogsheep/github-to-sqlite | 0 | dogsheep 53015001 | https://github.com/dogsheep/github-to-sqlite | Save data from GitHub to a SQLite database | 0 | 2019-09-08T02:50:28Z | 2022-09-20T04:36:37Z | 2022-09-28T21:07:54Z | https://github-to-sqlite.dogsheep.net/ | 143 | 235 | 235 | Python | 1 | 1 | 1 | 1 | 0 | 32 | 0 | 0 | 20 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-tool", "dogsheep", "github-api", "sqlite"] | 32 | 20 | 235 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | dogsheep 53015001 | 32 | 6 | # github-to-sqlite [](https://pypi.org/project/github-to-sqlite/) [](https://github.com/dogsheep/github-to-sqlite/releases) [](https://github.com/dogsheep/github-to-sqlite/actions?query=workflow%3ATest) [](https://github.com/dogsheep/github-to-sqlite/blob/main/LICENSE) Save data from GitHub to a SQLite database. <!-- toc --> - [Demo](#demo) - [How to install](#how-to-install) - [Authentication](#authentication) - [Fetching issues for a repository](#fetching-issues-for-a-repository) - [Fetching pull requests for a repository](#fetching-pull-requests-for-a-repository) - [Fetching issue comments for a repository](#fetching-issue-comments-for-a-repository) - [Fetching commits for a repository](#fetching-commits-for-a-repository) - [Fetching releases for a repository](#fetching-releases-for-a-repository) - [Fetching tags for a repository](#fetching-tags-for-a-repository) - [Fetching contributors to a repository](#fetching-contributors-to-a-repository) - [Fetching repos belonging to a user or organization](#fetching-repos-belonging-to-a-user-or-organization) - [Fetching specific repositories](#fetching-specific-repositories) - [Fetching repos that have been starred by a user](#fetching-repos-that-have-been-starred-by-a-user) - [Fetching users that have starred specific repos](#fetching-users-that-have-starred-specific-repos) - [Fetching GitHub Actions workflows](#fetching-github-actions-workflows) - [Scraping dependents for a repository](#scraping-dependents-for-a-repository) - [Fetching emojis](#fetching-emojis) - [Making authenticated API calls](#making-authenticated-api-calls) <!-- tocstop --> ## Demo https://github-to-sqlite.dogsheep.net/ hosts a [Datasette](https://datasette.io/) demo of a … | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-github-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-github-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>github-to-sqlite</h1> <p dir="auto"><a href="https://pypi.org/project/github-to-sqlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/515e6efa4aef15e83b08072e5490c9040420223b2355d1d715cb628f66d60dff/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6769746875622d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/github-to-sqlite.svg" style="max-width: 100%;"></a> <a href="https://github.com/dogsheep/github-to-sqlite/releases"><img src="https://camo.githubusercontent.com/ae3fbf680cae0fca1e9126549e1fd0e14e756f6f77046e878db7b1c9cbd78911/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f646f6773686565702f6769746875622d746f2d73716c6974653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/dogsheep/github-to-sqlite?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/dogsheep/github-to-sqlite/actions?query=workflow%3ATest"><img src="https://github.com/dogsheep/github-to-sqlite/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/dogsheep/github-to-sqlite/blob/main/LICENSE"><img src="https://camo.github… | 1 | public | 0 | 0 | |||
| 207630174 | MDEwOlJlcG9zaXRvcnkyMDc2MzAxNzQ= | datasette-rure | simonw/datasette-rure | 0 | simonw 9599 | https://github.com/simonw/datasette-rure | Datasette plugin that adds a custom SQL function for executing matches using the Rust regular expression engine | 0 | 2019-09-10T18:09:33Z | 2020-12-04T04:26:53Z | 2019-09-11T22:59:38Z | 19 | 4 | 4 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["sqlite", "regular-expressions", "datasette", "datasette-plugin", "datasette-io"] | 0 | 0 | 4 | master | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-rure [](https://pypi.org/project/datasette-rure/) [](https://circleci.com/gh/simonw/datasette-rure) [](https://github.com/simonw/datasette-rure/blob/master/LICENSE) Datasette plugin that adds a custom SQL function for executing matches using the Rust regular expression engine Install this plugin in the same environment as Datasette to enable the `regexp()` SQL function. $ pip install datasette-rure The plugin is built on top of the [rure-python](https://github.com/davidblewett/rure-python) library by David Blewett. ## regexp() to test regular expressions You can test if a value matches a regular expression like this: select regexp('hi.*there', 'hi there') -- returns 1 select regexp('not.*there', 'hi there') -- returns 0 You can also use SQLite's custom syntax to run matches: select 'hi there' REGEXP 'hi.*there' -- returns 1 This means you can select rows based on regular expression matches - for example, to select every article where the title begins with an E or an F: select * from articles where title REGEXP '^[EF]' Try this out: [REGEXP interactive demo](https://datasette-rure-demo.datasette.io/24ways?sql=select+*+from+articles+where+title+REGEXP+%27%5E%5BEF%5D%27) ## regexp_match() to extract groups You can extract captured subsets of a pattern using `regexp_match()`. select regexp_match('.*( and .*)', title) as n from articles where n is not null -- Returns the ' and X' component of any matching titles, e.g. -- and Recognition -- and Transitions Their Place -- etc This will return the first parenthesis match when called with two arguments. You can call it with three arguments to indicate which match you would like to extract: select regexp_match('.*(and)(.*)', title, 2) as n from articles where n is not null The functio… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-rure" class="anchor" aria-hidden="true" href="#user-content-datasette-rure"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-rure</h1> <p><a href="https://pypi.org/project/datasette-rure/" rel="nofollow"><img src="https://camo.githubusercontent.com/71217f9bd1b366cef0b2c8147af82aa94cac531801f86b277bb0bf3b1d13c1c1/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d727572652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-rure.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/simonw/datasette-rure" rel="nofollow"><img src="https://camo.githubusercontent.com/bc58494132e2732aabfe5f64284366a785e96850c5b5b86962a9d94d06f61489/68747470733a2f2f636972636c6563692e636f6d2f67682f73696d6f6e772f6461746173657474652d727572652e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/simonw/datasette-rure.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-rure/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" style="max-width:100%;"></a></p> <p>Datasette plugin that adds a custom SQL fun… | |||||||||
| 209091256 | MDEwOlJlcG9zaXRvcnkyMDkwOTEyNTY= | datasette-atom | simonw/datasette-atom | 0 | simonw 9599 | https://github.com/simonw/datasette-atom | Datasette plugin that adds a .atom output format | 0 | 2019-09-17T15:31:01Z | 2021-03-26T02:06:51Z | 2021-01-24T23:59:36Z | 47 | 10 | 10 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-plugin", "datasette-io"] | 0 | 0 | 10 | main | {"admin": false, "push": false, "pull": false} | 0 | 2 | # datasette-atom [](https://pypi.org/project/datasette-atom/) [](https://github.com/simonw/datasette-atom/releases) [](https://github.com/simonw/datasette-atom/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-atom/blob/main/LICENSE) Datasette plugin that adds support for generating [Atom feeds](https://validator.w3.org/feed/docs/atom.html) with the results of a SQL query. ## Installation Install this plugin in the same environment as Datasette to enable the `.atom` output extension. $ pip install datasette-atom ## Usage To create an Atom feed you need to define a custom SQL query that returns a required set of columns: * `atom_id` - a unique ID for each row. [This article](https://web.archive.org/web/20080211143232/http://diveintomark.org/archives/2004/05/28/howto-atom-id) has suggestions about ways to create these IDs. * `atom_title` - a title for that row. * `atom_updated` - an [RFC 3339](http://www.faqs.org/rfcs/rfc3339.html) timestamp representing the last time the entry was modified in a significant way. This can usually be the time that the row was created. The following columns are optional: * `atom_content` - content that should be shown in the feed. This will be treated as a regular string, so any embedded HTML tags will be escaped when they are displayed. * `atom_content_html` - content that should be shown in the feed. This will be treated as an HTML string, and will be sanitized using [Bleach](https://github.com/mozilla/bleach) to ensure it does not have any malicious code in it before being returned as part of a `<content type="html">` Atom element. If both are provided, this will be used in place of `atom_content`. * `atom_link` - a URL that should be used a… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-atom" class="anchor" aria-hidden="true" href="#user-content-datasette-atom"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-atom</h1> <p><a href="https://pypi.org/project/datasette-atom/" rel="nofollow"><img src="https://camo.githubusercontent.com/7957f60f0a749eb9a6313a3c35574dad2554ed586ef3bd67c4f0b768edd28fb2/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d61746f6d2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-atom.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-atom/releases"><img src="https://camo.githubusercontent.com/42a02d342f39e3dc05195df216b9f89fa84de19d94547b4c68a02ec12f0eaf2d/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d61746f6d3f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-atom?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-atom/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-atom/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-atom/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4… | |||||||||
| 209590345 | MDEwOlJlcG9zaXRvcnkyMDk1OTAzNDU= | genome-to-sqlite | dogsheep/genome-to-sqlite | 0 | dogsheep 53015001 | https://github.com/dogsheep/genome-to-sqlite | Import your genome into a SQLite database | 0 | 2019-09-19T15:38:39Z | 2021-01-18T19:39:48Z | 2019-09-19T15:41:17Z | 9 | 13 | 13 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | Apache License 2.0 apache-2.0 | ["genetics", "sqlite", "23andme", "personal-analytics", "datasette", "dogsheep", "datasette-io", "datasette-tool"] | 0 | 2 | 13 | master | {"admin": false, "push": false, "pull": false} | dogsheep 53015001 | 0 | 2 | # genome-to-sqlite [](https://pypi.org/project/genome-to-sqlite/) [](https://circleci.com/gh/dogsheep/genome-to-sqlite) [](https://github.com/dogsheep/genome-to-sqlite/blob/master/LICENSE) Import your genome into a SQLite database. ## How to install $ pip install genome-to-sqlite ## How to use First, export your genome. This tool has only been tested against 23andMe so far. You can request an export of your genome from https://you.23andme.com/tools/data/download/ Now you can convert the resulting `export.zip` file to SQLite like so: $ genome-to-sqlite export.zip genome.db A progress bar will be displayed. You can disable this using `--silent`. ``` Importing genome [#----------------] 5% 00:01:33 ``` You can explore the resulting data using [Datasette](https://datasette.readthedocs.io/) like this: $ datasette genome.db --config facet_time_limit_ms:1000 Bumping up the facet time limit is useful in order to enable faceting by chromosome: http://127.0.0.1:8001/genome/genome?_facet=chromosome&_sort=position | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-genome-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-genome-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>genome-to-sqlite</h1> <p><a href="https://pypi.org/project/genome-to-sqlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/a91d14ecfe9aa2d73da4818a7a898033e301380d4c8477d06a17dc20bd871c84/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f67656e6f6d652d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/genome-to-sqlite.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/dogsheep/genome-to-sqlite" rel="nofollow"><img src="https://camo.githubusercontent.com/5f7f5be2791ff007c49d3d153ef38baa81770a11c0326e5f6b8ffd7ee939d00f/68747470733a2f2f636972636c6563692e636f6d2f67682f646f6773686565702f67656e6f6d652d746f2d73716c6974652e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/dogsheep/genome-to-sqlite.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/dogsheep/genome-to-sqlite/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" style="max-width:100%;"></a></p> <p>Import yo… | ||||||||
| 213286752 | MDEwOlJlcG9zaXRvcnkyMTMyODY3NTI= | pocket-to-sqlite | dogsheep/pocket-to-sqlite | 0 | dogsheep 53015001 | https://github.com/dogsheep/pocket-to-sqlite | Create a SQLite database containing data from your Pocket account | 0 | 2019-10-07T03:24:14Z | 2022-08-21T21:11:59Z | 2022-08-22T16:21:34Z | 20 | 63 | 63 | Python | 1 | 1 | 1 | 1 | 0 | 3 | 0 | 0 | 5 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-tool", "dogsheep", "pocket", "pocket-api", "sqlite"] | 3 | 5 | 63 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | dogsheep 53015001 | 3 | 4 | # pocket-to-sqlite [](https://pypi.org/project/pocket-to-sqlite/) [](https://github.com/dogsheep/pocket-to-sqlite/releases) [](https://github.com/dogsheep/pocket-to-sqlite/actions?query=workflow%3ATest) [](https://github.com/dogsheep/pocket-to-sqlite/blob/main/LICENSE) Create a SQLite database containing data from your [Pocket](https://getpocket.com/) account. ## How to install $ pip install pocket-to-sqlite ## Usage You will need to first obtain a valid OAuth token for your Pocket account. You can do this by running the `auth` command and following the prompts: $ pocket-to-sqlite auth Visit this page and sign in with your Pocket account: https://getpocket.com/auth/author... Once you have signed in there, hit <enter> to continue Authentication tokens written to auth.json Now you can fetch all of your items from Pocket like this: $ pocket-to-sqlite fetch pocket.db The first time you run this command it will fetch all of your items, and display a progress bar while it does it. On subsequent runs it will only fetch new items. You can force it to fetch everything from the beginning again using `--all`. Use `--silent` to disable the progress bar. ## Using with Datasette The SQLite database produced by this tool is designed to be browsed using [Datasette](https://datasette.readthedocs.io/). Use the [datasette-render-timestamps](https://github.com/simonw/datasette-render-timestamps) plugin to improve the display of the timestamp values. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-pocket-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-pocket-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>pocket-to-sqlite</h1> <p dir="auto"><a href="https://pypi.org/project/pocket-to-sqlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/98050bc158f5e93f2c3576b03fa6a25b4a8091bb6d44774e07d95ae2842e4a3e/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f706f636b65742d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/pocket-to-sqlite.svg" style="max-width: 100%;"></a> <a href="https://github.com/dogsheep/pocket-to-sqlite/releases"><img src="https://camo.githubusercontent.com/b37c773b526e69ffcc72b9c02cbcd977d1b6e6a9bcf317c3accfc04b975e960c/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f646f6773686565702f706f636b65742d746f2d73716c6974653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/dogsheep/pocket-to-sqlite?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/dogsheep/pocket-to-sqlite/actions?query=workflow%3ATest"><img src="https://github.com/dogsheep/pocket-to-sqlite/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/dogsheep/pocket-to-sqlite/blob/main/LICENSE"><img src="https://camo.github… | 1 | public | 0 | 0 | ||||
| 214299267 | MDEwOlJlcG9zaXRvcnkyMTQyOTkyNjc= | datasette-render-timestamps | simonw/datasette-render-timestamps | 0 | simonw 9599 | https://github.com/simonw/datasette-render-timestamps | Datasette plugin for rendering timestamps | 0 | 2019-10-10T22:50:50Z | 2020-10-17T11:09:42Z | 2020-03-22T17:57:17Z | 17 | 4 | 4 | Python | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-plugin", "datasette-io"] | 1 | 0 | 4 | master | {"admin": false, "push": false, "pull": false} | 1 | 2 | # datasette-render-timestamps [](https://pypi.org/project/datasette-render-timestamps/) [](https://circleci.com/gh/simonw/datasette-render-timestamps) [](https://github.com/simonw/datasette-render-timestamps/blob/master/LICENSE) Datasette plugin for rendering timestamps. ## Installation Install this plugin in the same environment as Datasette to enable this new functionality: pip install datasette-render-timestamps The plugin will then look out for integer numbers that are likely to be timestamps - anything that would be a number of seconds from 5 years ago to 5 years in the future. These will then be rendered in a more readable format. ## Configuration You can disable automatic column detection in favour of explicitly listing the columns that you would like to render using [plugin configuration](https://datasette.readthedocs.io/en/stable/plugins.html#plugin-configuration) in a `metadata.json` file. Add a `"datasette-render-timestamps"` configuration block and use a `"columns"` key to list the columns you would like to treat as timestamp values: ```json { "plugins": { "datasette-render-timestamps": { "columns": ["created", "updated"] } } } ``` This will cause any `created` or `updated` columns in any table to be treated as timestamps and rendered. Save this to `metadata.json` and run datasette with the `--metadata` flag to load this configuration: datasette serve mydata.db --metadata metadata.json To disable automatic timestamp detection entirely, you can use `"columnns": []`. This configuration block can be used at the top level, or it can be applied just to specific databases or tables. Here's how to apply it to just the `entries` table in the `news.db` database: ```json { "databases": { "news": { "tables": … | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-render-timestamps" class="anchor" aria-hidden="true" href="#user-content-datasette-render-timestamps"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-render-timestamps</h1> <p><a href="https://pypi.org/project/datasette-render-timestamps/" rel="nofollow"><img src="https://camo.githubusercontent.com/6c9b69c5f6aca7ab8a2fbe0dd7b4ce1cca3a75f837750f3e7e7a55f9bd03b96f/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d72656e6465722d74696d657374616d70732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-render-timestamps.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/simonw/datasette-render-timestamps" rel="nofollow"><img src="https://camo.githubusercontent.com/8bf2320ca702efe91ed80467a992e0bd23b979894eaa4854bbc8affacbfaf8bb/68747470733a2f2f636972636c6563692e636f6d2f67682f73696d6f6e772f6461746173657474652d72656e6465722d74696d657374616d70732e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/simonw/datasette-render-timestamps.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-render-timestamps/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" dat… | |||||||||
| 217216787 | MDEwOlJlcG9zaXRvcnkyMTcyMTY3ODc= | datasette-haversine | simonw/datasette-haversine | 0 | simonw 9599 | https://github.com/simonw/datasette-haversine | Datasette plugin that adds a custom SQL function for haversine distances | 0 | 2019-10-24T05:16:14Z | 2021-07-28T20:13:38Z | 2021-07-28T20:14:24Z | 8 | 1 | 1 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-plugin", "datasette-io"] | 0 | 0 | 1 | main | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-haversine [](https://pypi.org/project/datasette-haversine/) [](https://github.com/simonw/datasette-haversine/releases) [](https://github.com/simonw/datasette-haversine/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-haversine/blob/main/LICENSE) Datasette plugin that adds a custom SQL function for haversine distances Install this plugin in the same environment as Datasette to enable the `haversine()` SQL function. $ pip install datasette-haversine The plugin is built on top of the [haversine](https://github.com/mapado/haversine) library. ## haversine() to calculate distances ```sql select haversine(lat1, lon1, lat2, lon2); ``` This will return the distance in kilometers between the point defined by `(lat1, lon1)` and the point defined by `(lat2, lon2)`. ## Custom units By default `haversine()` returns results in km. You can pass an optional third argument to get results in a different unit: - `ft` for feet - `m` for meters - `in` for inches - `mi` for miles - `nmi` for nautical miles - `km` for kilometers (the default) ```sql select haversine(lat1, lon1, lat2, lon2, 'mi'); ``` | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-haversine" class="anchor" aria-hidden="true" href="#user-content-datasette-haversine"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-haversine</h1> <p><a href="https://pypi.org/project/datasette-haversine/" rel="nofollow"><img src="https://camo.githubusercontent.com/c15ca12319585eb769d51678b9d275b82c3dd407362c2922244fb4b2e93a9f1e/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d686176657273696e652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-haversine.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-haversine/releases"><img src="https://camo.githubusercontent.com/2a194d8f840f0491df7941d978f40f1fda33b2edbb9b9896269ff963f72d3bfb/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d686176657273696e653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-haversine?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-haversine/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-haversine/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-haversine/blob/main/LICENSE"><img src="https://camo.git… | |||||||||
| 219372133 | MDEwOlJlcG9zaXRvcnkyMTkzNzIxMzM= | sqlite-transform | simonw/sqlite-transform | 0 | simonw 9599 | https://github.com/simonw/sqlite-transform | Tool for running transformations on columns in a SQLite database | 0 | 2019-11-03T22:07:53Z | 2021-08-02T22:06:23Z | 2021-08-02T22:07:57Z | 64 | 29 | 29 | Python | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["sqlite", "datasette-io", "datasette-tool"] | 1 | 0 | 29 | main | {"admin": false, "push": false, "pull": false} | 1 | 1 | # sqlite-transform  [](https://pypi.org/project/sqlite-transform/) [](https://github.com/simonw/sqlite-transform/releases) [](https://github.com/simonw/sqlite-transform/actions?query=workflow%3ATest) [](https://github.com/dogsheep/sqlite-transform/blob/main/LICENSE) Tool for running transformations on columns in a SQLite database. > **:warning: This tool is no longer maintained** > > I added a new tool to [sqlite-utils](https://sqlite-utils.datasette.io/) called [sqlite-utils convert](https://sqlite-utils.datasette.io/en/stable/cli.html#converting-data-in-columns) which provides a super-set of the functionality originally provided here. `sqlite-transform` is no longer maintained, and I recommend switching to using `sqlite-utils convert` instead. ## How to install pip install sqlite-transform ## parsedate and parsedatetime These subcommands will run all values in the specified column through `dateutils.parser.parse()` and replace them with the result, formatted as an ISO timestamp or ISO date. For example, if a row in the database has an `opened` column which contains `10/10/2019 08:10:00 PM`, running the following command: sqlite-transform parsedatetime my.db mytable opened Will result in that value being replaced by `2019-10-10T20:10:00`. Using the `parsedate` subcommand here would result in `2019-10-10` instead. In the case of ambiguous dates such as `03/04/05` these commands both default to assuming American-style `mm/dd/yy` format. You can pass `--dayfirst` to specify that the day should be assumed to be first, or `--yearfirst` for the year. ## jsonsplit The `jsonsplit` subcommand takes columns t… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-sqlite-transform" class="anchor" aria-hidden="true" href="#user-content-sqlite-transform"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>sqlite-transform</h1> <p><a target="_blank" rel="noopener noreferrer" href="https://camo.githubusercontent.com/818df98789ea0f246ed427c6efefc9450fdab68f50d69b83ecbbda8dda1d82b8/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6e6f2532306c6f6e6765722d6d61696e7461696e65642d726564"><img src="https://camo.githubusercontent.com/818df98789ea0f246ed427c6efefc9450fdab68f50d69b83ecbbda8dda1d82b8/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6e6f2532306c6f6e6765722d6d61696e7461696e65642d726564" alt="No longer maintained" data-canonical-src="https://img.shields.io/badge/no%20longer-maintained-red" style="max-width:100%;"></a> <a href="https://pypi.org/project/sqlite-transform/" rel="nofollow"><img src="https://camo.githubusercontent.com/607faf62b18abed6c31fc21c85d2e93f7800da5d89495d6df6355b2bb0b11a38/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f73716c6974652d7472616e73666f726d2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/sqlite-transform.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/sqlite-transform/releases"><img src="https://camo.githubusercontent.com/351675bc73115e1f71304704ec82e7402dd85f44a866cd2580a9e1ce4194384f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f… | |||||||||
| 220716822 | MDEwOlJlcG9zaXRvcnkyMjA3MTY4MjI= | datasette-render-markdown | simonw/datasette-render-markdown | 0 | simonw 9599 | https://github.com/simonw/datasette-render-markdown | Datasette plugin for rendering Markdown | 0 | 2019-11-09T23:28:31Z | 2022-05-26T04:58:56Z | 2022-07-18T19:35:10Z | 57 | 11 | 11 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-plugin", "markdown"] | 0 | 1 | 11 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 0 | 2 | # datasette-render-markdown [](https://pypi.org/project/datasette-render-markdown/) [](https://github.com/simonw/datasette-render-markdown/releases) [](https://github.com/simonw/datasette-render-markdown/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-render-markdown/blob/main/LICENSE) Datasette plugin for rendering Markdown. ## Installation Install this plugin in the same environment as Datasette to enable this new functionality: $ pip install datasette-render-markdown ## Usage You can explicitly list the columns you would like to treat as Markdown using [plugin configuration](https://datasette.readthedocs.io/en/stable/plugins.html#plugin-configuration) in a `metadata.json` file. Add a `"datasette-render-markdown"` configuration block and use a `"columns"` key to list the columns you would like to treat as Markdown values: ```json { "plugins": { "datasette-render-markdown": { "columns": ["body"] } } } ``` This will cause any `body` column in any table to be treated as markdown and safely rendered using [Python-Markdown](https://python-markdown.github.io/). The resulting HTML is then run through [Bleach](https://bleach.readthedocs.io/) to avoid the risk of XSS security problems. Save this to `metadata.json` and run Datasette with the `--metadata` flag to load this configuration: $ datasette serve mydata.db --metadata metadata.json The configuration block can be used at the top level, or it can be applied just to specific databases or tables. Here's how to apply it to just the `entries` table in the `news.db` database: ```json { "databases": { "news": { "tables": { … | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-render-markdown" class="anchor" aria-hidden="true" href="#user-content-datasette-render-markdown"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-render-markdown</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-render-markdown/" rel="nofollow"><img src="https://camo.githubusercontent.com/624f87a070fbf68882456039073cd2f330c4b412199efd1bd7308c97c3b30c40/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d72656e6465722d6d61726b646f776e2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-render-markdown.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-render-markdown/releases"><img src="https://camo.githubusercontent.com/5b3b13cdd601c70ee249e42c3fb43fce5b707eff875d49f19b1460a319cc42d6/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d72656e6465722d6d61726b646f776e3f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-render-markdown?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-render-markdown/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-render-markdown/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></… | 1 | public | 0 | 0 | |||||
| 221802296 | MDEwOlJlcG9zaXRvcnkyMjE4MDIyOTY= | datasette-template-sql | simonw/datasette-template-sql | 0 | simonw 9599 | https://github.com/simonw/datasette-template-sql | Datasette plugin for executing SQL queries from templates | 0 | 2019-11-14T23:05:34Z | 2021-05-18T17:58:47Z | 2021-05-18T17:58:44Z | https://datasette.io/plugins/datasette-template-sql | 23 | 6 | 6 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-plugin", "datasette-io"] | 0 | 1 | 6 | main | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-template-sql [](https://pypi.org/project/datasette-template-sql/) [](https://github.com/simonw/datasette-template-sql/releases) [](https://github.com/simonw/datasette-template-sql/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-template-sql/blob/main/LICENSE) Datasette plugin for executing SQL queries from templates. ## Examples [datasette.io](https://datasette.io/) uses this plugin extensively with [custom page templates](https://docs.datasette.io/en/stable/custom_templates.html#custom-pages), check out [simonw/datasette.io](https://github.com/simonw/datasette.io) to see how it works. [www.niche-museums.com](https://www.niche-museums.com/) uses this plugin to run a custom themed website on top of Datasette. The full source code for the site [is here](https://github.com/simonw/museums) - see also [niche-museums.com, powered by Datasette](https://simonwillison.net/2019/Nov/25/niche-museums/). [simonw/til](https://github.com/simonw/til) is another simple example, described in [Using a self-rewriting README powered by GitHub Actions to track TILs](https://simonwillison.net/2020/Apr/20/self-rewriting-readme/). ## Installation Run this command to install the plugin in the same environment as Datasette: $ pip install datasette-template-sql ## Usage This plugin makes a new function, `sql(sql_query)`, available to your Datasette templates. You can use it like this: ```html+jinja {% for row in sql("select 1 + 1 as two, 2 * 4 as eight") %} {% for key in row.keys() %} {{ key }}: {{ row[key] }}<br> {% endfor %} {% endfor %} ``` The plugin will execute SQL against the current database for the page in `database.html`, `table.htm… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-template-sql" class="anchor" aria-hidden="true" href="#user-content-datasette-template-sql"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-template-sql</h1> <p><a href="https://pypi.org/project/datasette-template-sql/" rel="nofollow"><img src="https://camo.githubusercontent.com/4de02f94922198f24958d43afbaa62802bf36bc44849bdf7bfb630d8bd7d5dde/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d74656d706c6174652d73716c2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-template-sql.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-template-sql/releases"><img src="https://camo.githubusercontent.com/564e7d6e3e049c80e9c446272b50dd5ce9c6d4b573ad51a7f1e9e51756affbcb/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d74656d706c6174652d73716c3f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-template-sql?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-template-sql/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-template-sql/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-template-sql/blo… | ||||||||
| 228485806 | MDEwOlJlcG9zaXRvcnkyMjg0ODU4MDY= | datasette-configure-asgi | simonw/datasette-configure-asgi | 0 | simonw 9599 | https://github.com/simonw/datasette-configure-asgi | Datasette plugin for configuring arbitrary ASGI middleware | 0 | 2019-12-16T22:17:10Z | 2020-08-25T15:54:32Z | 2019-12-16T22:19:49Z | 6 | 1 | 1 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["asgi", "datasette", "datasette-plugin", "datasette-io"] | 0 | 0 | 1 | master | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-configure-asgi [](https://pypi.org/project/datasette-configure-asgi/) [](https://circleci.com/gh/simonw/datasette-configure-asgi) [](https://github.com/simonw/datasette-configure-asgi/blob/master/LICENSE) Datasette plugin for configuring arbitrary ASGI middleware ## Installation pip install datasette-configure-asgi ## Usage This plugin only takes effect if your `metadata.json` file contains relevant top-level plugin configuration in a `"datasette-configure-asgi"` configuration key. For example, to wrap your Datasette instance in the `asgi-log-to-sqlite` middleware configured to write logs to `/tmp/log.db` you would use the following: ```json { "plugins": { "datasette-configure-asgi": [ { "class": "asgi_log_to_sqlite.AsgiLogToSqlite", "args": { "file": "/tmp/log.db" } } ] } } ``` The `"datasette-configure-asgi"` key should be a list of JSON objects. Each object should have a `"class"` key indicating the class to be used, and an optional `"args"` key providing any necessary arguments to be passed to that class constructor. ## Plugin structure This plugin can be used to wrap your Datasette instance in any ASGI middleware that conforms to the following structure: ```python class SomeAsgiMiddleware: def __init__(self, app, arg1, arg2): self.app = app self.arg1 = arg1 self.arg2 = arg2 async def __call__(self, scope, receive, send): start = time.time() await self.app(scope, receive, send) end = time.time() print("Time taken: {}".format(end - start)) ``` So the middleware is a class with a constructor which takes the wrapped application as a first argument, `app`, followed by further named arguments … | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-configure-asgi" class="anchor" aria-hidden="true" href="#user-content-datasette-configure-asgi"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-configure-asgi</h1> <p><a href="https://pypi.org/project/datasette-configure-asgi/" rel="nofollow"><img src="https://camo.githubusercontent.com/f416823edcf74e9efabbee4be66b7db51784d1eeb1b7fd75286cfcbf16a87815/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d636f6e6669677572652d617367692e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-configure-asgi.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/simonw/datasette-configure-asgi" rel="nofollow"><img src="https://camo.githubusercontent.com/d9cd8121c1d308429b1b5c4f9a87aee4091dfe95aadeeb9e39336aa91fb737e4/68747470733a2f2f636972636c6563692e636f6d2f67682f73696d6f6e772f6461746173657474652d636f6e6669677572652d617367692e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/simonw/datasette-configure-asgi.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-configure-asgi/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields… | |||||||||
| 234825790 | MDEwOlJlcG9zaXRvcnkyMzQ4MjU3OTA= | datasette-upload-csvs | simonw/datasette-upload-csvs | 0 | simonw 9599 | https://github.com/simonw/datasette-upload-csvs | Datasette plugin for uploading CSV files and converting them to database tables | 0 | 2020-01-19T02:07:05Z | 2022-07-03T20:58:20Z | 2022-09-09T16:23:59Z | https://datasette.io/plugins/datasette-upload-csvs | 58 | 9 | 9 | Python | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 4 | Apache License 2.0 apache-2.0 | ["csvs", "datasette", "datasette-io", "datasette-plugin"] | 1 | 4 | 9 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 1 | 2 | # datasette-upload-csvs [](https://pypi.org/project/datasette-upload-csvs/) [](https://github.com/simonw/datasette-upload-csvs/releases) [](https://github.com/simonw/datasette-upload-csvs/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-upload-csvs/blob/main/LICENSE) Datasette plugin for uploading CSV files and converting them to database tables ## Installation datasette install datasette-upload-csvs ## Usage The plugin adds an interface at `/-/upload-csvs` for uploading a CSV file and using it to create a new database table. By default only [the root actor](https://datasette.readthedocs.io/en/stable/authentication.html#using-the-root-actor) can access the page - so you'll need to run Datasette with the `--root` option and click on the link shown in the terminal to sign in and access the page. The `upload-csvs` permission governs access. You can use permission plugins such as [datasette-permissions-sql](https://github.com/simonw/datasette-permissions-sql) to grant additional access to the write interface. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-upload-csvs" class="anchor" aria-hidden="true" href="#user-content-datasette-upload-csvs"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-upload-csvs</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-upload-csvs/" rel="nofollow"><img src="https://camo.githubusercontent.com/0579577329c092ea76dd2672cfa6077ecd82c918c9d3caa9c8ff26be02104f78/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d75706c6f61642d637376732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-upload-csvs.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-upload-csvs/releases"><img src="https://camo.githubusercontent.com/34f7f9b455f75c80e8b706ff050dc59f70a926b93af51457f14f0a1d290f47bc/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d75706c6f61642d637376733f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-upload-csvs?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-upload-csvs/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-upload-csvs/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-uplo… | 1 | public | 0 | 0 | ||||
| 236110759 | MDEwOlJlcG9zaXRvcnkyMzYxMTA3NTk= | datasette-auth-existing-cookies | simonw/datasette-auth-existing-cookies | 0 | simonw 9599 | https://github.com/simonw/datasette-auth-existing-cookies | Datasette plugin that authenticates users based on existing domain cookies | 0 | 2020-01-25T01:20:31Z | 2022-05-28T01:50:15Z | 2022-05-30T17:10:11Z | 54 | 3 | 3 | Python | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-plugin"] | 1 | 0 | 3 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 1 | 3 | # datasette-auth-existing-cookies [](https://pypi.org/project/datasette-auth-existing-cookies/) [](https://github.com/simonw/datasette-auth-existing-cookies/releases) [](https://github.com/simonw/datasette-auth-existing-cookies/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-auth-existing-cookies/blob/master/LICENSE) Datasette plugin that authenticates users based on existing domain cookies. ## When to use this This plugin allows you to build custom authentication for Datasette when you are hosting a Datasette instance on the same domain as another, authenticated website. Consider a website on `www.example.com` which supports user authentication. You could run Datasette on `data.example.com` in a way that lets it see cookies that were set for the `.example.com` domain. Using this plugin, you could build an API endpoint at `www.example.com/user-for-cookies` which returns a JSON object representing the currently signed-in user, based on their cookies. The plugin running on `data.example.com` will then make the `actor` available to the rest of Datasette based on the response from that API. Read about [Datasette's authentication and permissions system](https://docs.datasette.io/en/stable/authentication.html) for more on how actors and permissions work. ## Configuration This plugin requires some configuration in the Datasette [metadata.json file](https://datasette.readthedocs.io/en/stable/plugins.html#plugin-configuration). The following configuration options are supported: - `api_url`: this is the API endpoint that Datasette should call with the user's cookies in order to identify the logged in user. - `cookies`: optional. A … | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-auth-existing-cookies" class="anchor" aria-hidden="true" href="#user-content-datasette-auth-existing-cookies"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-auth-existing-cookies</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-auth-existing-cookies/" rel="nofollow"><img src="https://camo.githubusercontent.com/590f1fc881f5547ddc2df20c3e78f26fde45e0e616863c3c2111d37bf22f6a61/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d617574682d6578697374696e672d636f6f6b6965732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-auth-existing-cookies.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-auth-existing-cookies/releases"><img src="https://camo.githubusercontent.com/ca9233dbd3b295b882d4e93a38bf3d9d64a6904111ad04a787a4d7201b3cd58f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d617574682d6578697374696e672d636f6f6b6965733f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-auth-existing-cookies?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-auth-existing-cookies/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-auth-exis… | 1 | public | 0 | ||||||
| 236867027 | MDEwOlJlcG9zaXRvcnkyMzY4NjcwMjc= | datasette-sentry | simonw/datasette-sentry | 0 | simonw 9599 | https://github.com/simonw/datasette-sentry | Datasette plugin for configuring Sentry | 0 | 2020-01-28T23:41:27Z | 2022-07-18T20:28:25Z | 2022-10-06T22:31:29Z | 26 | 6 | 6 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-plugin", "sentry"] | 0 | 0 | 6 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 0 | 2 | # datasette-sentry [](https://pypi.org/project/datasette-sentry/) [](https://github.com/simonw/datasette-sentry/releases) [](https://github.com/simonw/datasette-sentry/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-sentry/blob/main/LICENSE) Datasette plugin for configuring Sentry for error reporting ## Installation pip install datasette-sentry ## Usage This plugin only takes effect if your `metadata.json` file contains relevant top-level plugin configuration in a `"datasette-sentry"` configuration key. You will need a Sentry DSN - see their [Getting Started instructions](https://docs.sentry.io/error-reporting/quickstart/?platform=python). Add it to `metadata.json` like this: ```json { "plugins": { "datasette-sentry": { "dsn": "https://KEY@sentry.io/PROJECTID" } } } ``` Settings in `metadata.json` are visible to anyone who visits the `/-/metadata` URL so this is a good place to take advantage of Datasette's [secret configuration values](https://datasette.readthedocs.io/en/stable/plugins.html#secret-configuration-values), in which case your configuration will look more like this: ```json { "plugins": { "datasette-sentry": { "dsn": { "$env": "SENTRY_DSN" } } } } ``` Then make a `SENTRY_DSN` environment variable available to Datasette. ## Configuration In addition to the `dsn` setting, you can also configure the Sentry [sample rate](https://docs.sentry.io/platforms/python/configuration/sampling/) by setting `sample_rate` to a floating point number between 0 and 1. For example, to capture 25% of errors you would do this: ```json { "plugins": { "datasette… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-sentry" class="anchor" aria-hidden="true" href="#user-content-datasette-sentry"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-sentry</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-sentry/" rel="nofollow"><img src="https://camo.githubusercontent.com/235a5563b51d4001ae7207d970a8ea72137fd5cdb3443c66b5eb42ef35703683/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d73656e7472792e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-sentry.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-sentry/releases"><img src="https://camo.githubusercontent.com/0a9f8c726d4c19b1bde12b99d824cf9269559d1290186a88815f72ee50a2a618/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d73656e7472793f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-sentry?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-sentry/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-sentry/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-sentry/blob/main/LICENSE"><img src="https://camo.githubusercontent.co… | 1 | public | 0 | 0 | |||||
| 237321267 | MDEwOlJlcG9zaXRvcnkyMzczMjEyNjc= | geojson-to-sqlite | simonw/geojson-to-sqlite | 0 | simonw 9599 | https://github.com/simonw/geojson-to-sqlite | CLI tool for converting GeoJSON files to SQLite (with SpatiaLite) | 0 | 2020-01-30T22:51:05Z | 2022-03-05T00:40:56Z | 2022-04-13T23:39:25Z | 117 | 34 | 34 | Python | 1 | 1 | 1 | 1 | 0 | 3 | 0 | 0 | 4 | Apache License 2.0 apache-2.0 | ["datasette-io", "datasette-tool", "geojson", "gis", "sqlite"] | 3 | 4 | 34 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 3 | 3 | # geojson-to-sqlite [](https://pypi.org/project/geojson-to-sqlite/) [](https://github.com/simonw/geojson-to-sqlite/releases) [](https://github.com/simonw/geojson-to-sqlite/actions?query=workflow%3ATest) [](https://github.com/simonw/geojson-to-sqlite/blob/main/LICENSE) CLI tool for converting GeoJSON to SQLite (optionally with SpatiaLite) [RFC 7946: The GeoJSON Format](https://tools.ietf.org/html/rfc7946) ## How to install $ pip install geojson-to-sqlite ## How to use You can run this tool against a GeoJSON file like so: $ geojson-to-sqlite my.db features features.geojson This will load all of the features from the `features.geojson` file into a table called `features`. Each row will have a `geometry` column containing the feature geometry, and columns for each of the keys found in any `properties` attached to those features. (To bundle all properties into a single JSON object, use the `--properties` flag.) The table will be created the first time you run the command. On subsequent runs you can use the `--alter` option to add any new columns that are missing from the table. You can pass more than one GeoJSON file, in which case the contents of all of the files will be inserted into the same table. If your features have an `"id"` property it will be used as the primary key for the table. You can also use `--pk=PROPERTY` with the name of a different property to use that as the primary key instead. If you don't want to use the `"id"` as the primary key (maybe it contains duplicate values) you can use `--pk ''` to specify no primary key. Specifying a primary key also will allow you to upsert data into the rows instead of insert data into new rows. If no primary key is specified,… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-geojson-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-geojson-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>geojson-to-sqlite</h1> <p dir="auto"><a href="https://pypi.org/project/geojson-to-sqlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/b0c77834f0d6adf37e62573e121ccadd92711433ad2c5b4dd506610919762dab/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f67656f6a736f6e2d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/geojson-to-sqlite.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/geojson-to-sqlite/releases"><img src="https://camo.githubusercontent.com/e88a12c13acc77ac4d0338f065dfeb664076b3414a7ee2560e8d465e828c1320/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f67656f6a736f6e2d746f2d73716c6974653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/geojson-to-sqlite?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/geojson-to-sqlite/actions?query=workflow%3ATest"><img src="https://github.com/simonw/geojson-to-sqlite/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/geojson-to-sqlite/blob/main/LICENSE"><img src="https://camo.github… | 1 | public | 0 | ||||||
| 238339412 | MDEwOlJlcG9zaXRvcnkyMzgzMzk0MTI= | datasette-debug-asgi | simonw/datasette-debug-asgi | 0 | simonw 9599 | https://github.com/simonw/datasette-debug-asgi | Datasette plugin for dumping out the ASGI scope | 0 | 2020-02-05T00:57:09Z | 2021-08-17T23:40:02Z | 2021-08-17T23:41:03Z | https://datasette.io/plugins/datasette-debug-asgi | 16 | 1 | 1 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["asgi", "datasette-io", "datasette-plugin"] | 0 | 0 | 1 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 0 | 1 | # datasette-debug-asgi [](https://pypi.org/project/datasette-debug-asgi/) [](https://github.com/simonw/datasette-debug-asgi/releases) [](https://github.com/simonw/datasette-debug-asgi/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-debug-asgi/blob/main/LICENSE) Datasette plugin for dumping out the ASGI scope. Adds a new URL at `/-/asgi-scope` which shows the current ASGI scope. Demo here: https://datasette.io/-/asgi-scope ## Installation pip install datasette-debug-asgi ## Usage Visit `/-/asgi-scope` to see debug output showing the ASGI scope. You can add query string parameters such as `/-/asgi-scope?q=hello`. You can also add extra path components such as `/-/asgi-scope/more/path/here`. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-debug-asgi" class="anchor" aria-hidden="true" href="#user-content-datasette-debug-asgi"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-debug-asgi</h1> <p><a href="https://pypi.org/project/datasette-debug-asgi/" rel="nofollow"><img src="https://camo.githubusercontent.com/59ce0e036bd317f141a4ce0589ec0969f8fd2cfdef49c6b3c7c4dafc4bd9e332/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d64656275672d617367692e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-debug-asgi.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-debug-asgi/releases"><img src="https://camo.githubusercontent.com/d3b776c6e5f4674675855b8268bbc26631391e18e23a50a4cc92204b89a1b701/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d64656275672d617367693f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-debug-asgi?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-debug-asgi/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-debug-asgi/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-debug-asgi/blob/main/LICENSE"><img src="ht… | ||||||||
| 240815938 | MDEwOlJlcG9zaXRvcnkyNDA4MTU5Mzg= | shapefile-to-sqlite | simonw/shapefile-to-sqlite | 0 | simonw 9599 | https://github.com/simonw/shapefile-to-sqlite | Load shapefiles into a SQLite (optionally SpatiaLite) database | 0 | 2020-02-16T01:55:29Z | 2021-03-26T08:39:43Z | 2020-08-23T06:00:41Z | 54 | 15 | 15 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 3 | Apache License 2.0 apache-2.0 | ["sqlite", "gis", "spatialite", "shapefiles", "datasette", "datasette-io", "datasette-tool"] | 0 | 3 | 15 | main | {"admin": false, "push": false, "pull": false} | 0 | 1 | # shapefile-to-sqlite [](https://pypi.org/project/shapefile-to-sqlite/) [](https://circleci.com/gh/simonw/shapefile-to-sqlite) [](https://github.com/simonw/shapefile-to-sqlite/blob/main/LICENSE) Load shapefiles into a SQLite (optionally SpatiaLite) database. Project background: [Things I learned about shapefiles building shapefile-to-sqlite](https://simonwillison.net/2020/Feb/19/shapefile-to-sqlite/) ## How to install $ pip install shapefile-to-sqlite ## How to use You can run this tool against a shapefile file like so: $ shapefile-to-sqlite my.db features.shp This will load the geometries as GeoJSON in a text column. ## Using with SpatiaLite If you have [SpatiaLite](https://www.gaia-gis.it/fossil/libspatialite/index) available you can load them as SpatiaLite geometries like this: $ shapefile-to-sqlite my.db features.shp --spatialite The data will be loaded into a table called `features` - based on the name of the shapefile. You can specify an alternative table name using `--table`: $ shapefile-to-sqlite my.db features.shp --table=places --spatialite The tool will search for the SpatiaLite module in the following locations: - `/usr/lib/x86_64-linux-gnu/mod_spatialite.so` - `/usr/local/lib/mod_spatialite.dylib` If you have installed the module in another location, you can use the `--spatialite_mod=xxx` option to specify where: $ shapefile-to-sqlite my.db features.shp \ --spatialite_mod=/usr/lib/mod_spatialite.dylib You can use the `--spatial-index` option to create a spatial index on the `geometry` column: $ shapefile-to-sqlite my.db features.shp --spatial-index You can omit `--spatialite` if you use either `--spatialite-mod` or `--spatial-index`. ## Projections By default, this tool will attempt to convert geometries in the shapefile to the WGS 84 projec… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-shapefile-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-shapefile-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>shapefile-to-sqlite</h1> <p><a href="https://pypi.org/project/shapefile-to-sqlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/491f86f2d61c3cf6ce08c6c019a47686ccbe35187c465aeb784876d3adcc236b/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f736861706566696c652d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/shapefile-to-sqlite.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/simonw/shapefile-to-sqlite" rel="nofollow"><img src="https://camo.githubusercontent.com/665b44f51d2c08eeb25388a24485a1591ebe793b914807ae371fe96fb242c0aa/68747470733a2f2f636972636c6563692e636f6d2f67682f73696d6f6e772f736861706566696c652d746f2d73716c6974652e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/simonw/shapefile-to-sqlite.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/shapefile-to-sqlite/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" style="max-width:100%… | |||||||||
| 242260583 | MDEwOlJlcG9zaXRvcnkyNDIyNjA1ODM= | datasette-mask-columns | simonw/datasette-mask-columns | 0 | simonw 9599 | https://github.com/simonw/datasette-mask-columns | Datasette plugin that masks specified database columns | 0 | 2020-02-22T01:29:16Z | 2021-06-10T19:50:37Z | 2021-06-10T19:51:02Z | https://datasette.io/plugins/datasette-mask-columns | 15 | 2 | 2 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-plugin", "datasette-io"] | 0 | 0 | 2 | main | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-mask-columns [](https://pypi.org/project/datasette-mask-columns/) [](https://github.com/simonw/datasette-mask-columns/releases) [](https://github.com/simonw/datasette-mask-columns/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-mask-columns/blob/main/LICENSE) Datasette plugin that masks specified database columns ## Installation pip install datasette-mask-columns This depends on plugin hook changes in a not-yet released branch of Datasette. See [issue #678](https://github.com/simonw/datasette/issues/678) for details. ## Usage In your `metadata.json` file add a section like this describing the database and table in which you wish to mask columns: ```json { "databases": { "my-database": { "plugins": { "datasette-mask-columns": { "users": ["password"] } } } } } ``` All SQL queries against the `users` table in `my-database.db` will now return `null` for the `password` column, no matter what value that column actually holds. The table page for `users` will display the text `REDACTED` in the masked column. This visual hint will only be available on the table page; it will not display his text for arbitrary queries against the table. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-mask-columns" class="anchor" aria-hidden="true" href="#user-content-datasette-mask-columns"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-mask-columns</h1> <p><a href="https://pypi.org/project/datasette-mask-columns/" rel="nofollow"><img src="https://camo.githubusercontent.com/09772a46d884b67ea26bd94868ec94be4bd514fa0a4a8ea3fac1b707801e4d3d/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d6d61736b2d636f6c756d6e732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-mask-columns.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-mask-columns/releases"><img src="https://camo.githubusercontent.com/f3fb962acca8cb0fd0c0caeb303007c6c199287a95f5b2f9bfb2128bec3b1dc3/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d6d61736b2d636f6c756d6e733f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-mask-columns?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-mask-columns/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-mask-columns/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-mask-columns/blo… | ||||||||
| 243710733 | MDEwOlJlcG9zaXRvcnkyNDM3MTA3MzM= | datasette-ics | simonw/datasette-ics | 0 | simonw 9599 | https://github.com/simonw/datasette-ics | Datasette plugin for outputting iCalendar files | 0 | 2020-02-28T08:11:01Z | 2022-07-07T14:11:49Z | 2022-07-12T02:08:10Z | https://datasette.io/plugins/datasette-ics | 34 | 13 | 13 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-plugin", "icalendar", "ics"] | 0 | 0 | 13 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 0 | 2 | # datasette-ics [](https://pypi.org/project/datasette-ics/) [](https://github.com/simonw/datasette-ics/releases) [](https://github.com/simonw/datasette-ics/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-ics/blob/main/LICENSE) Datasette plugin that adds support for generating [iCalendar .ics files](https://tools.ietf.org/html/rfc5545) with the results of a SQL query. ## Installation Install this plugin in the same environment as Datasette to enable the `.ics` output extension. $ pip install datasette-ics ## Usage To create an iCalendar file you need to define a custom SQL query that returns a required set of columns: * `event_name` - the short name for the event * `event_dtstart` - when the event starts The following columns are optional: * `event_dtend` - when the event ends * `event_duration` - the duration of the event (use instead of `dtend`) * `event_description` - a longer description of the event * `event_uid` - a globally unique identifier for this event * `event_tzid` - the timezone for the event, e.g. `America/Chicago` A query that returns these columns can then be returned as an ics feed by adding the `.ics` extension. ## Demo [This SQL query]([https://www.rockybeaches.com/data?sql=with+inner+as+(%0D%0A++select%0D%0A++++datetime%2C%0D%0A++++substr(datetime%2C+0%2C+11)+as+date%2C%0D%0A++++mllw_feet%2C%0D%0A++++lag(mllw_feet)+over+win+as+previous_mllw_feet%2C%0D%0A++++lead(mllw_feet)+over+win+as+next_mllw_feet%0D%0A++from%0D%0A++++tide_predictions%0D%0A++where%0D%0A++++station_id+%3D+%3Astation_id%0D%0A++++and+datetime+%3E%3D+date()%0D%0A++++window+win+as+(%0D%0A++++++order+by%0D%0A++++++++datetime%0D%0A++++)%0D%0A++order+by%0D%0A++++datetime%0D%0A)%2C%0D%0Alowe… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-ics" class="anchor" aria-hidden="true" href="#user-content-datasette-ics"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-ics</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-ics/" rel="nofollow"><img src="https://camo.githubusercontent.com/ded2e32b426b79e4545931cf7a056c8c1db91042979ee4e1fa286bd89222af70/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d6963732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-ics.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-ics/releases"><img src="https://camo.githubusercontent.com/ac8ba594bbdf3837c5b4a7c54786be6517128f0b6fe17fb569b189024fd0fcfb/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d6963733f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-ics?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-ics/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-ics/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-ics/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa… | 1 | public | 0 | 0 | ||||
| 243887036 | MDEwOlJlcG9zaXRvcnkyNDM4ODcwMzY= | datasette-configure-fts | simonw/datasette-configure-fts | 0 | simonw 9599 | https://github.com/simonw/datasette-configure-fts | Datasette plugin for enabling full-text search against selected table columns | 0 | 2020-02-29T01:50:57Z | 2020-11-01T02:59:12Z | 2020-11-01T02:59:10Z | 42 | 2 | 2 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-plugin", "datasette-io"] | 0 | 2 | 2 | main | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-configure-fts [](https://pypi.org/project/datasette-configure-fts/) [](https://github.com/simonw/datasette-configure-fts/releases) [](https://github.com/simonw/datasette-configure-fts/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-configure-fts/blob/main/LICENSE) Datasette plugin for enabling full-text search against selected table columns ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-configure-fts ## Usage Having installed the plugin, visit `/-/configure-fts` on your Datasette instance to configure FTS for tables on attached writable databases. Any time you have permission to configure FTS for a table a menu item will appear in the table actions menu on the table page. By default only [the root actor](https://datasette.readthedocs.io/en/stable/authentication.html#using-the-root-actor) can access the page - so you'll need to run Datasette with the `--root` option and click on the link shown in the terminal to sign in and access the page. The `configure-fts` permission governs access. You can use permission plugins such as [datasette-permissions-sql](https://github.com/simonw/datasette-permissions-sql) to grant additional access to the write interface. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-configure-fts" class="anchor" aria-hidden="true" href="#user-content-datasette-configure-fts"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-configure-fts</h1> <p><a href="https://pypi.org/project/datasette-configure-fts/" rel="nofollow"><img src="https://camo.githubusercontent.com/73d7c1152d58fc5ae85794eaf3165fd023270f7f118bde3acaa24522371419b5/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d636f6e6669677572652d6674732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-configure-fts.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-configure-fts/releases"><img src="https://camo.githubusercontent.com/cd5d1f0fe6b01840d00ffa3e5696a7827c30095262f3ea8c4447f0547e16dc17/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d636f6e6669677572652d6674733f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-configure-fts?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-configure-fts/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-configure-fts/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-con… | |||||||||
| 245670670 | MDEwOlJlcG9zaXRvcnkyNDU2NzA2NzA= | fec-to-sqlite | simonw/fec-to-sqlite | 0 | simonw 9599 | https://github.com/simonw/fec-to-sqlite | Save FEC campaign finance data to a SQLite database | 0 | 2020-03-07T16:52:49Z | 2020-12-19T05:09:05Z | 2020-03-07T18:21:48Z | 16 | 8 | 8 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | Apache License 2.0 apache-2.0 | ["sqlite", "fec", "datasette", "datasette-io", "datasette-tool"] | 0 | 1 | 8 | master | {"admin": false, "push": false, "pull": false} | 0 | 2 | # fec-to-sqlite [](https://pypi.org/project/fec-to-sqlite/) [](https://circleci.com/gh/simonw/fec-to-sqlite) [](https://github.com/simonw/fec-to-sqlite/blob/master/LICENSE) Create a SQLite database using FEC campaign contributions data. This tool builds on [fecfile](https://github.com/esonderegger/) by Evan Sonderegger. ## How to install $ pip install fec-to-sqlite ## Usage $ fec-to-sqlite filings filings.db 1146148 This fetches the filing with ID `1146148` and stores it in tables in a SQLite database called `filings.db`. It will create any tables it needs. You can pass more than one filing ID, separated by spaces. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-fec-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-fec-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>fec-to-sqlite</h1> <p><a href="https://pypi.org/project/fec-to-sqlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/93308ffe0f5302a01fe685a905be46fc42abddee239c695af80456aabcd72e94/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6665632d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/fec-to-sqlite.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/simonw/fec-to-sqlite" rel="nofollow"><img src="https://camo.githubusercontent.com/46d17ba2dacfcf6081f8db0a40f9dfd848e9bb2af54c6652e8358a01a88ba2cd/68747470733a2f2f636972636c6563692e636f6d2f67682f73696d6f6e772f6665632d746f2d73716c6974652e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/simonw/fec-to-sqlite.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/fec-to-sqlite/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" style="max-width:100%;"></a></p> <p>Create a SQLite database using FEC campaign contributio… | |||||||||
| 245856731 | MDEwOlJlcG9zaXRvcnkyNDU4NTY3MzE= | datasette-search-all | simonw/datasette-search-all | 0 | simonw 9599 | https://github.com/simonw/datasette-search-all | Datasette plugin for searching all searchable tables at once | 0 | 2020-03-08T17:21:54Z | 2021-12-19T04:06:49Z | 2022-10-05T01:53:33Z | 186 | 6 | 6 | Python | 1 | 1 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-plugin", "search"] | 2 | 0 | 6 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 2 | 2 | # datasette-search-all [](https://pypi.org/project/datasette-search-all/) [](https://github.com/simonw/datasette-search-all/releases) [](https://github.com/simonw/datasette-search-all/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-search-all/blob/main/LICENSE) Datasette plugin for searching all searchable tables at once. ## Installation Install the plugin in the same Python environment as Datasette: pip install datasette-search-all ## Background See [datasette-search-all: a new plugin for searching multiple Datasette tables at once](https://simonwillison.net/2020/Mar/9/datasette-search-all/) for background on this project. You can try the plugin out at https://fara.datasettes.com/ ## Usage This plugin only works if at least one of the tables connected to your Datasette instance has been configured for SQLite's full-text search. The [Datasette search documentation](https://docs.datasette.io/en/stable/full_text_search.html) includes details on how to enable full-text search for a table. You can also use the following tools: * [sqlite-utils](https://sqlite-utils.datasette.io/en/stable/cli.html#configuring-full-text-search) includes a command-line tool for enabling full-text search. * [datasette-enable-fts](https://github.com/simonw/datasette-enable-fts) is a Datasette plugin that adds a web interface for enabling search for specific columns. If the plugin detects at least one searchable table it will add a search form to the homepage. You can also navigate to `/-/search` on your Datasette instance to use the search interface directly. ## Screenshot ![Animated screenshot showing the plugin in action](https://raw.githubusercontent.com/simonw/datasette… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-search-all" class="anchor" aria-hidden="true" href="#user-content-datasette-search-all"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-search-all</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-search-all/" rel="nofollow"><img src="https://camo.githubusercontent.com/2fe2b05de97f33998d29929414fb3878c21e05f5d6820e69a8c1b9aa1a6d7593/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d7365617263682d616c6c2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-search-all.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-search-all/releases"><img src="https://camo.githubusercontent.com/e686df469f1732c1e8112cf75ac7f2388e793d4eaf381b965cf54876e5a6a75e/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d7365617263682d616c6c3f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-search-all?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-search-all/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-search-all/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-search-all/blob/m… | 1 | public | 0 | 0 | |||||
| 246108561 | MDEwOlJlcG9zaXRvcnkyNDYxMDg1NjE= | datasette-column-inspect | simonw/datasette-column-inspect | 0 | simonw 9599 | https://github.com/simonw/datasette-column-inspect | Experimental plugin that adds a column inspector | 0 | 2020-03-09T18:11:00Z | 2020-12-09T21:46:10Z | 2020-12-09T21:47:38Z | 15 | 1 | 1 | HTML | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 3 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-plugin", "datasette-io"] | 0 | 3 | 1 | main | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-column-inspect [](https://pypi.org/project/datasette-column-inspect/) [](https://github.com/simonw/datasette-column-inspect/releases) [](https://github.com/simonw/datasette-column-inspect/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-column-inspect/blob/main/LICENSE) Highly experimental Datasette plugin for inspecting columns. ## Installation Install this plugin in the same environment as Datasette. $ pip install datasette-column-inspect ## Usage This plugin adds an icon to each column on the table page which opens an inspection side panel. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-column-inspect" class="anchor" aria-hidden="true" href="#user-content-datasette-column-inspect"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-column-inspect</h1> <p><a href="https://pypi.org/project/datasette-column-inspect/" rel="nofollow"><img src="https://camo.githubusercontent.com/e5f8f5c2f4a6206e386bea29ca46270bc4bb3d12cc3a0126dc181f1cfde0e7ab/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d636f6c756d6e2d696e73706563742e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-column-inspect.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-column-inspect/releases"><img src="https://camo.githubusercontent.com/cd438ac87792c14aa871310ac3c1e61a61d71e09601e83e7bc5fabeeb5418242/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d636f6c756d6e2d696e73706563743f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-column-inspect?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-column-inspect/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-column-inspect/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/… | |||||||||
| 247527438 | MDEwOlJlcG9zaXRvcnkyNDc1Mjc0Mzg= | datasette-edit-schema | simonw/datasette-edit-schema | 0 | simonw 9599 | https://github.com/simonw/datasette-edit-schema | Datasette plugin for modifying table schemas | 0 | 2020-03-15T18:34:06Z | 2022-07-01T22:20:25Z | 2022-08-22T22:45:58Z | 133 | 6 | 6 | JavaScript | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 10 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-plugin"] | 0 | 10 | 6 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 0 | 1 | # datasette-edit-schema [](https://pypi.org/project/datasette-edit-schema/) [](https://github.com/simonw/datasette-edit-schema/releases) [](https://github.com/simonw/datasette-edit-schema/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-edit-schema/blob/master/LICENSE) Datasette plugin for modifying table schemas ## Features * Add new columns to a table * Rename columns in a table * Modify the type of columns in a table * Re-order the columns in a table * Rename a table * Delete a table ## Installation Install this plugin in the same environment as Datasette. $ pip install datasette-edit-schema ## Usage Navigate to `/-/edit-schema/dbname/tablename` on your Datasette instance to edit a specific table. Use `/-/edit-schema/dbname` to create a new table in a specific database. By default only [the root actor](https://datasette.readthedocs.io/en/stable/authentication.html#using-the-root-actor) can access the page - so you'll need to run Datasette with the `--root` option and click on the link shown in the terminal to sign in and access the page. ## Permissions The `edit-schema` permission governs access. You can use permission plugins such as [datasette-permissions-sql](https://github.com/simonw/datasette-permissions-sql) to grant additional access to the write interface. These permission checks will call the `permission_allowed()` plugin hook with three arguments: - `action` will be the string `"edit-schema"` - `actor` will be the currently authenticated actor - usually a dictionary - `resource` will be the string name of the database ## Screenshot ![datasette-edit-schema interface](https://raw.githubusercontent.com/simonw/datasette-edit-schema/mai… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-edit-schema" class="anchor" aria-hidden="true" href="#user-content-datasette-edit-schema"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-edit-schema</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-edit-schema/" rel="nofollow"><img src="https://camo.githubusercontent.com/c7772b0d1f8c2377409f509e097f39ac2540e5215589dc08e73e1d497cb7e41d/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d656469742d736368656d612e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-edit-schema.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-edit-schema/releases"><img src="https://camo.githubusercontent.com/e6d232795a6c369f9bf6a52f5656bbbc227f6a5d0e6ed99d8a02d703e74b07dc/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d656469742d736368656d613f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-edit-schema?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-edit-schema/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-edit-schema/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-edit… | 1 | public | 0 | 0 | |||||
| 248385299 | MDEwOlJlcG9zaXRvcnkyNDgzODUyOTk= | datasette-publish-fly | simonw/datasette-publish-fly | 0 | simonw 9599 | https://github.com/simonw/datasette-publish-fly | Datasette plugin for publishing data using Fly | 0 | 2020-03-19T01:47:01Z | 2022-09-29T22:28:45Z | 2022-09-29T17:25:15Z | 50 | 10 | 10 | Python | 1 | 1 | 1 | 1 | 0 | 3 | 0 | 0 | 4 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-plugin", "fly"] | 3 | 4 | 10 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 3 | 3 | # datasette-publish-fly [](https://pypi.org/project/datasette-publish-fly/) [](https://github.com/simonw/datasette-publish-fly/releases) [](https://github.com/simonw/datasette-publish-fly/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-publish-fly/blob/main/LICENSE) [Datasette](https://datasette.io/) plugin for deploying Datasette instances to [Fly.io](https://fly.io/). Project background: [Using SQLite and Datasette with Fly Volumes](https://simonwillison.net/2022/Feb/15/fly-volumes/) ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-publish-fly ## Deploying read-only data First, install the `flyctl` command-line tool by [following their instructions](https://fly.io/docs/getting-started/installing-flyctl/). Run `flyctl auth signup` to create an account there, or `flyctl auth login` if you already have one. You can now use `datasette publish fly` to publish one or more SQLite database files: datasette publish fly my-database.db --app="my-data-app" The argument you pass to `--app` will be used for the URL of your application: `my-data-app.fly.dev`. To update an application, run the publish command passing the same application name to the `--app` option. Fly have [a free tier](https://fly.io/docs/about/pricing/#free-allowances), beyond which they will charge you monthly for each application you have live. Details of their pricing can be [found on their site](https://fly.io/docs/pricing/). Your application will be deployed at `https://your-app-name.fly.io/` - be aware that it may take several minutes to start working the first time you deploy it. ## Using Fly volumes for writable databases… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-publish-fly" class="anchor" aria-hidden="true" href="#user-content-datasette-publish-fly"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-publish-fly</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-publish-fly/" rel="nofollow"><img src="https://camo.githubusercontent.com/e734388aed6f472c37bdfa14e6ddace47ad6e959c87da3b6399a5313f3558110/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d7075626c6973682d666c792e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-publish-fly.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-publish-fly/releases"><img src="https://camo.githubusercontent.com/35efe08178a809f72d27ab8954426873c2c94d698c5ebd81d7eb284b421aa967/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d7075626c6973682d666c793f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-publish-fly?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-publish-fly/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-publish-fly/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-publ… | 1 | public | 0 | 0 | |||||
| 248903544 | MDEwOlJlcG9zaXRvcnkyNDg5MDM1NDQ= | hacker-news-to-sqlite | dogsheep/hacker-news-to-sqlite | 0 | dogsheep 53015001 | https://github.com/dogsheep/hacker-news-to-sqlite | Create a SQLite database containing data pulled from Hacker News | 0 | 2020-03-21T04:02:05Z | 2021-06-06T22:42:00Z | 2021-03-13T19:15:06Z | 19 | 25 | 25 | Python | 1 | 1 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["hacker-news", "datasette", "dogsheep", "datasette-io", "datasette-tool"] | 2 | 0 | 25 | main | {"admin": false, "push": false, "pull": false} | dogsheep 53015001 | 2 | 1 | # hacker-news-to-sqlite [](https://pypi.org/project/hacker-news-to-sqlite/) [](https://github.com/dogsheep/hacker-news-to-sqlite/releases) [](https://github.com/dogsheep/hacker-news-to-sqlite/actions?query=workflow%3ATest) [](https://github.com/simonw/hacker-news-to-sqlite/blob/main/LICENSE) Create a SQLite database containing data fetched from [Hacker News](https://news.ycombinator.com/). ## How to install $ pip install hacker-news-to-sqlite ## Usage $ hacker-news-to-sqlite user hacker-news.db your-username Importing items: 37%|███████████ | 845/2297 [05:09<11:02, 2.19it/s] Imports all of your Hacker News submissions and comments into a SQLite database called `hacker-news.db`. $ hacker-news-to-sqlite trees hacker-news.db 22640038 22643218 Fetches the entire comments tree in which any of those content IDs appears. ## Browsing your data with Datasette You can use [Datasette](https://datasette.readthedocs.org/) to browse your data. Install Datasette like this: $ pip install datasette Now run it against your `hacker-news.db` file like so: $ datasette hacker-news.db Visit `https://localhost:8001/` to search and explore your data. You can improve the display of your data usinng the [datasette-render-timestamps](https://github.com/simonw/datasette-render-timestamps) and [datasette-render-html](https://github.com/simonw/datasette-render-html) plugins. Install them like this: $ pip install datasette-render-timestamps datasette-render-html Now save the following configuration in a file called `metadata.json`: ```json { "databases": { "hacker-news": { "tables": { "items": { … | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-hacker-news-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-hacker-news-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>hacker-news-to-sqlite</h1> <p><a href="https://pypi.org/project/hacker-news-to-sqlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/bf6d88d26ea4d8f1f396c1b1fc88ae74380de6a30f5a792c9f29664f21a219dd/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6861636b65722d6e6577732d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/hacker-news-to-sqlite.svg" style="max-width:100%;"></a> <a href="https://github.com/dogsheep/hacker-news-to-sqlite/releases"><img src="https://camo.githubusercontent.com/090ef507ee9402a786e40313d173f516f1dbdedf3df703402296594a4ebcad73/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f646f6773686565702f6861636b65722d6e6577732d746f2d73716c6974653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/dogsheep/hacker-news-to-sqlite?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/dogsheep/hacker-news-to-sqlite/actions?query=workflow%3ATest"><img src="https://github.com/dogsheep/hacker-news-to-sqlite/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/hacker-news-to-sqlite/blob/… | ||||||||
| 248999994 | MDEwOlJlcG9zaXRvcnkyNDg5OTk5OTQ= | datasette-show-errors | simonw/datasette-show-errors | 0 | simonw 9599 | https://github.com/simonw/datasette-show-errors | Datasette plugin for displaying error tracebacks | 0 | 2020-03-21T15:06:04Z | 2020-09-24T00:17:29Z | 2020-09-01T00:32:23Z | 7 | 1 | 1 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | Apache License 2.0 apache-2.0 | ["asgi", "datasette", "starlette", "datasette-plugin", "datasette-io"] | 0 | 1 | 1 | master | {"admin": false, "push": false, "pull": false} | 0 | 0 | # datasette-show-errors [](https://pypi.org/project/datasette-show-errors/) [](https://circleci.com/gh/simonw/datasette-show-errors) [](https://github.com/simonw/datasette-show-errors/blob/master/LICENSE) Datasette plugin for displaying error tracebacks. **This plugin does not work with current versions of Datasette.** See [issue #2](https://github.com/simonw/datasette-show-errors/issues/2). ## Installation pip install datasette-show-errors ## Usage Installing the plugin will cause any internal error to be displayed with a full traceback, rather than just a generic 500 page. Be careful not to use this in a context that might expose sensitive information. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-show-errors" class="anchor" aria-hidden="true" href="#user-content-datasette-show-errors"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-show-errors</h1> <p><a href="https://pypi.org/project/datasette-show-errors/" rel="nofollow"><img src="https://camo.githubusercontent.com/b3e198ab4e1253d5eca382cb810057bf1be9b3a78db6f60f57c2a5a269d49304/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d73686f772d6572726f72732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-show-errors.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/simonw/datasette-show-errors" rel="nofollow"><img src="https://camo.githubusercontent.com/183abdd282beee4022d9443bd5c050fa0a2d8fd024156414206fa188872a7a8e/68747470733a2f2f636972636c6563692e636f6d2f67682f73696d6f6e772f6461746173657474652d73686f772d6572726f72732e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/simonw/datasette-show-errors.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-show-errors/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.… | |||||||||
| 253632948 | MDEwOlJlcG9zaXRvcnkyNTM2MzI5NDg= | datasette-publish-vercel | simonw/datasette-publish-vercel | 0 | simonw 9599 | https://github.com/simonw/datasette-publish-vercel | Datasette plugin for publishing data using Vercel | 0 | 2020-04-06T22:47:13Z | 2022-07-29T17:09:47Z | 2022-08-24T17:43:41Z | 55 | 27 | 27 | Python | 1 | 1 | 1 | 1 | 0 | 5 | 0 | 0 | 17 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-plugin", "vercel", "zeit-now"] | 5 | 17 | 27 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 5 | 4 | # datasette-publish-vercel [](https://pypi.org/project/datasette-publish-vercel/) [](https://github.com/simonw/datasette-publish-vercel/releases) [](https://github.com/simonw/datasette-publish-vercel/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-publish-vercel/blob/main/LICENSE) Datasette plugin for publishing data using [Vercel](https://vercel.com/). ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-publish-vercel ## Usage First, install the Vercel CLI tool by [following their instructions](https://vercel.com/download). Run `vercel login` to login to (or create) an account. Now you can use `datasette publish vercel` to publish your data: datasette publish vercel my-database.db --project=my-database The `--project` argument is required - it specifies the project name that should be used for your deployment. This will be used as part of the deployment's URL. ### Other options * `--no-prod` deploys to the project without updating the "production" URL alias to point to that new deployment. Without that option all deploys go directly to production. * `--debug` enables the Vercel CLI debug output. * `--token` allows you to pass a Now authentication token, rather than needing to first run `now login` to configure the tool. Tokens can be created in the Vercel web dashboard under Account Settings -> Tokens. * `--public` runs `vercel --public` to publish the application source code at `/_src` e.g. https://datasette-public.now.sh/_src and make recent logs visible at `/_logs` e.g. https://datasette-public.now.sh/_logs * `--generate-dir` - by default this tool generates a new Vercel app in a… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-publish-vercel" class="anchor" aria-hidden="true" href="#user-content-datasette-publish-vercel"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-publish-vercel</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-publish-vercel/" rel="nofollow"><img src="https://camo.githubusercontent.com/54812f865fef02d66cf1d1155ea07750ad19a0a88dad2d4f1a86f4fbd3fba8a0/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d7075626c6973682d76657263656c2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-publish-vercel.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-publish-vercel/releases"><img src="https://camo.githubusercontent.com/5ba538bc3912064a11f09b105ecd92083d1223f2f8a38034d17734d09a26f321/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d7075626c6973682d76657263656c3f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-publish-vercel?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-publish-vercel/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-publish-vercel/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="h… | 1 | public | 0 | 0 | |||||
| 255460347 | MDEwOlJlcG9zaXRvcnkyNTU0NjAzNDc= | datasette-clone | simonw/datasette-clone | 0 | simonw 9599 | https://github.com/simonw/datasette-clone | Create a local copy of database files from a Datasette instance | 0 | 2020-04-13T23:05:41Z | 2021-06-08T15:33:21Z | 2021-02-22T19:32:36Z | 20 | 2 | 2 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-tool"] | 0 | 0 | 2 | main | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-clone [](https://pypi.org/project/datasette-clone/) [](https://github.com/simonw/datasette-clone/releases) [](https://github.com/simonw/datasette-clone/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-clone/blob/main/LICENSE) Create a local copy of database files from a Datasette instance. See [datasette-clone](https://simonwillison.net/2020/Apr/14/datasette-clone/) on my blog for background on this project. ## How to install $ pip install datasette-clone ## Usage This only works against Datasette instances running immutable databases (with the `-i` option). Databases published using the `datasette publish` command should be compatible with this tool. To download copies of all `.db` files from an instance, run: datasette-clone https://latest.datasette.io You can provide an optional second argument to specify a directory: datasette-clone https://latest.datasette.io /tmp/here-please The command stores its own copy of a `databases.json` manifest and uses it to only download databases that have changed the next time you run the command. It also stores a copy of the instance's `metadata.json` to ensure you have a copy of any source and licensing information for the downloaded databases. If your instance is protected by an API token, you can use `--token` to provide it: datasette-clone https://latest.datasette.io --token=xyz For verbose output showing what the tool is doing, use `-v`. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-clone" class="anchor" aria-hidden="true" href="#user-content-datasette-clone"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-clone</h1> <p><a href="https://pypi.org/project/datasette-clone/" rel="nofollow"><img src="https://camo.githubusercontent.com/17cc348c1197fd918ac911e525efd416a5d4ca5d3f00729cbf85c930ac5dbde6/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d636c6f6e652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-clone.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-clone/releases"><img src="https://camo.githubusercontent.com/9f8615567ed0f9b4d38d5f69dafcc8ae2fa97aa13895779172645064f16fcc9f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d636c6f6e653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-clone?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-clone/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-clone/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-clone/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb… | |||||||||
| 256834907 | MDEwOlJlcG9zaXRvcnkyNTY4MzQ5MDc= | dogsheep-photos | dogsheep/dogsheep-photos | 0 | dogsheep 53015001 | https://github.com/dogsheep/dogsheep-photos | Upload your photos to S3 and import metadata about them into a SQLite database | 0 | 2020-04-18T19:22:13Z | 2021-11-04T20:45:03Z | 2021-11-04T20:45:00Z | 68 | 124 | 124 | Python | 1 | 1 | 1 | 1 | 0 | 7 | 0 | 0 | 19 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-tool", "dogsheep", "sqlite"] | 7 | 19 | 124 | master | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | dogsheep 53015001 | 7 | 10 | # dogsheep-photos [](https://pypi.org/project/dogsheep-photos/) [](https://github.com/dogsheep/dogsheep-photos/releases) [](https://circleci.com/gh/dogsheep/dogsheep-photos) [](https://github.com/dogsheep/dogsheep-photos/blob/master/LICENSE) Save details of your photos to a SQLite database and upload them to S3. See [Using SQL to find my best photo of a pelican according to Apple Photos](https://simonwillison.net/2020/May/21/apple-photos-sqlite/) for background information on this project. ## What these tools do These tools are a work-in-progress mechanism for taking full ownership of your photos. The core idea is to help implement the following: * Every photo you have taken lives in a single, private Amazon S3 bucket * You have a single SQLite database file which stores metadata about those photos - potentially pulled from multiple different places. This may include EXIF data, Apple Photos, the results of running machine learning APIs against photos and much more besides. * You can then use [Datasette](https://github.com/simonw/datasette) to explore your own photos. I'm a heavy user of Apple Photos so the initial releases of this tool will have a bias towards that, but ideally I would like a subset of these tools to be useful to people no matter which core photo solution they are using. ## Installation $ pip install dogsheep-photos ## Authentication (if using S3) If you want to use S3 to store your photos, you will need to first create S3 credentials for a new, dedicated bucket. You may find the [s3-credentials tool](https://github.com/simonw/s3-credentials) useful for this. Run this command and paste in your credentials. You will need three values: the name of your S3 bucket, your Ac… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-dogsheep-photos" class="anchor" aria-hidden="true" href="#user-content-dogsheep-photos"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>dogsheep-photos</h1> <p><a href="https://pypi.org/project/dogsheep-photos/" rel="nofollow"><img src="https://camo.githubusercontent.com/c21d10e4250454707420755a0d4b90c97709771d795ffa55b495c98956a3938d/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f646f6773686565702d70686f746f732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/dogsheep-photos.svg" style="max-width: 100%;"></a> <a href="https://github.com/dogsheep/dogsheep-photos/releases"><img src="https://camo.githubusercontent.com/c7bead2f1c989034f62914278a736eecdfbab79ce4d9b3ab804d1692e230d79d/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f646f6773686565702f646f6773686565702d70686f746f733f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/dogsheep/dogsheep-photos?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://circleci.com/gh/dogsheep/dogsheep-photos" rel="nofollow"><img src="https://camo.githubusercontent.com/3aefe86d4a3560c1ca080cf5b7e4dcc5788b239df8b7a3fed40e622b834c22e8/68747470733a2f2f636972636c6563692e636f6d2f67682f646f6773686565702f646f6773686565702d70686f746f732e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src… | 1 | public | 0 | |||||
| 261634807 | MDEwOlJlcG9zaXRvcnkyNjE2MzQ4MDc= | datasette-media | simonw/datasette-media | 0 | simonw 9599 | https://github.com/simonw/datasette-media | Datasette plugin for serving media based on a SQL query | 0 | 2020-05-06T02:42:57Z | 2021-05-03T05:04:39Z | 2020-07-30T23:39:29Z | 70 | 11 | 11 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 8 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-plugin", "datasette-io"] | 0 | 8 | 11 | main | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-media [](https://pypi.org/project/datasette-media/) [](https://github.com/simonw/datasette-media/releases) [](https://circleci.com/gh/simonw/datasette-media) [](https://github.com/simonw/datasette-media/blob/master/LICENSE) Datasette plugin for serving media based on a SQL query. Use this when you have a database table containing references to files on disk - or binary content stored in BLOB columns - that you would like to be able to serve to your users. ## Installation Install this plugin in the same environment as Datasette. $ pip install datasette-media ### HEIC image support Modern iPhones save their photos using the [HEIC image format](https://en.wikipedia.org/wiki/High_Efficiency_Image_File_Format). Processing these images requires an additional dependency, [pyheif](https://pypi.org/project/pyheif/). You can include this dependency by running: $ pip install datasette-media[heif] ## Usage You can use this plugin to configure Datasette to serve static media based on SQL queries to an underlying database table. Media will be served from URLs that start with `/-/media/`. The full URL to each media asset will look like this: /-/media/type-of-media/media-key `type-of-media` will correspond to a configured SQL query, and might be something like `photo`. `media-key` will be an identifier that is used as part of the underlying SQL query to find which file should be served. ### Serving static files from disk The following ``metadata.json`` configuration will cause this plugin to serve files from disk, based on queries to a database table called `apple_photos`. ```json { "plugins": { "datasette-media": { "photo": { "sql": "select … | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-media" class="anchor" aria-hidden="true" href="#user-content-datasette-media"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-media</h1> <p><a href="https://pypi.org/project/datasette-media/" rel="nofollow"><img src="https://camo.githubusercontent.com/e54db370ebd4d8d68a1054cdb8186da706ee7e8e725a8543b6681404e49bff00/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d6d656469612e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-media.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-media/releases"><img src="https://camo.githubusercontent.com/45b31e5abfda86f1f9f9396856b3e703513fbfd980f2070daf1fa3fcb898214b/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d6d656469613f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-media?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://circleci.com/gh/simonw/datasette-media" rel="nofollow"><img src="https://camo.githubusercontent.com/3f836c0fc5a36c2afcce223b886456440cf30d4f4cff3c009a40c730fcc0a66d/68747470733a2f2f636972636c6563692e636f6d2f67682f73696d6f6e772f6461746173657474652d6d656469612e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circle… | |||||||||
| 271408895 | MDEwOlJlcG9zaXRvcnkyNzE0MDg4OTU= | datasette-permissions-sql | simonw/datasette-permissions-sql | 0 | simonw 9599 | https://github.com/simonw/datasette-permissions-sql | Datasette plugin for configuring permission checks using SQL queries | 0 | 2020-06-10T23:48:13Z | 2020-06-12T07:06:12Z | 2020-06-12T07:06:15Z | 25 | 0 | 0 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-plugin", "datasette-io"] | 0 | 0 | 0 | master | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-permissions-sql [](https://pypi.org/project/datasette-permissions-sql/) [](https://circleci.com/gh/simonw/datasette-permissions-sql) [](https://github.com/simonw/datasette-permissions-sql/blob/master/LICENSE) Datasette plugin for configuring permission checks using SQL queries ## Installation Install this plugin in the same environment as Datasette. $ pip install datasette-permissions-sql ## Usage First, read up on how Datasette's [authentication and permissions system](https://datasette.readthedocs.io/en/latest/authentication.html) works. This plugin lets you define rules containing SQL queries that are executed to see if the currently authenticated actor has permission to perform certain actions. Consider a canned query which authenticated users should only be able to execute if a row in the `users` table says that they are a member of staff. That `users` table in the `mydatabase.db` database could look like this: | id | username | is_staff | |--|--------|--------| | 1 | cleopaws | 0 | | 2 | simon | 1 | Authenticated users have an `actor` that looks like this: ```json { "id": 2, "username": "simon" } ``` To configure the canned query to only be executable by staff users, add the following to your `metadata.json`: ```json { "plugins": { "datasette-permissions-sql": [ { "action": "view-query", "resource": ["mydatabase", "promote_to_staff"], "sql": "SELECT * FROM users WHERE is_staff = 1 AND id = :actor_id" } ] }, "databases": { "mydatabase": { "queries": { "promote_to_staff": { "sql": "UPDATE users SET is is_staff=1 WHERE id=:id", "write": true } } }… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-permissions-sql" class="anchor" aria-hidden="true" href="#user-content-datasette-permissions-sql"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-permissions-sql</h1> <p><a href="https://pypi.org/project/datasette-permissions-sql/" rel="nofollow"><img src="https://camo.githubusercontent.com/898a57540c5f63707e7d55e28f18598cd101ae1b7cbad1ff71ead7f4a12174f4/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d7065726d697373696f6e732d73716c2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-permissions-sql.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/simonw/datasette-permissions-sql" rel="nofollow"><img src="https://camo.githubusercontent.com/587e99cf6d88c2bcfe530b5748d7f0f2ed638809bec3aa914244b7bf2ddcdc82/68747470733a2f2f636972636c6563692e636f6d2f67682f73696d6f6e772f6461746173657474652d7065726d697373696f6e732d73716c2e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/simonw/datasette-permissions-sql.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-permissions-sql/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https:/… | |||||||||
| 271665336 | MDEwOlJlcG9zaXRvcnkyNzE2NjUzMzY= | datasette-auth-tokens | simonw/datasette-auth-tokens | 0 | simonw 9599 | https://github.com/simonw/datasette-auth-tokens | Datasette plugin for authenticating access using API tokens | 0 | 2020-06-11T23:23:30Z | 2021-10-15T00:52:53Z | 2021-10-15T00:54:20Z | 34 | 4 | 4 | Python | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-plugin"] | 1 | 0 | 4 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 1 | 3 | # datasette-auth-tokens [](https://pypi.org/project/datasette-auth-tokens/) [](https://github.com/simonw/datasette-auth-tokens/releases) [](https://github.com/simonw/datasette-auth-tokens/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-auth-tokens/blob/main/LICENSE) Datasette plugin for authenticating access using API tokens ## Installation Install this plugin in the same environment as Datasette. $ pip install datasette-auth-tokens ## Hard-coded tokens Read about Datasette's [authentication and permissions system](https://datasette.readthedocs.io/en/latest/authentication.html). This plugin lets you configure secret API tokens which can be used to make authenticated requests to Datasette. First, create a random API token. A useful recipe for doing that is the following: $ python -c 'import secrets; print(secrets.token_hex(32))' 5f9a486dd807de632200b17508c75002bb66ca6fde1993db1de6cbd446362589 Decide on the actor that this token should represent, for example: ```json { "bot_id": "my-bot" } ``` You can then use `"allow"` blocks to provide that token with permission to access specific actions. To enable access to a configured writable SQL query you could use this in your `metadata.json`: ```json { "plugins": { "datasette-auth-tokens": { "tokens": [ { "token": { "$env": "BOT_TOKEN" }, "actor": { "bot_id": "my-bot" } } ] } }, "databases": { ":memory:": { "queries": { "show_version": { … | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-auth-tokens" class="anchor" aria-hidden="true" href="#user-content-datasette-auth-tokens"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-auth-tokens</h1> <p><a href="https://pypi.org/project/datasette-auth-tokens/" rel="nofollow"><img src="https://camo.githubusercontent.com/8372a0259329c822611c82d155c9e1e29a243723aa17d0061b64bc06216c8e50/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d617574682d746f6b656e732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-auth-tokens.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-auth-tokens/releases"><img src="https://camo.githubusercontent.com/5c2dba28aad8f4910893ff5a064ae0c826b40c16aae67c5573c17f60c3b5ff97/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d617574682d746f6b656e733f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-auth-tokens?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-auth-tokens/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-auth-tokens/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-auth-tokens/blob/main/LICE… | 1 | public | 0 | ||||||
| 272098486 | MDEwOlJlcG9zaXRvcnkyNzIwOTg0ODY= | datasette-psutil | simonw/datasette-psutil | 0 | simonw 9599 | https://github.com/simonw/datasette-psutil | Datasette plugin adding a /-/psutil debugging endpoint | 0 | 2020-06-13T22:57:07Z | 2022-03-07T15:36:30Z | 2022-03-07T15:35:57Z | https://datasette.io/plugins/datasette-psutil | 12 | 2 | 2 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-io", "datasette-plugin", "psutil"] | 0 | 1 | 2 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 0 | 2 | # datasette-psutil [](https://pypi.org/project/datasette-psutil/) [](https://github.com/simonw/datasette-psutil/releases) [](https://github.com/simonw/datasette-psutil/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-psutil/blob/main/LICENSE) Datasette plugin adding a `/-/psutil` debugging endpoint ## Installation Install this plugin in the same environment as Datasette. $ pip install datasette-psutil ## Usage Visit `/-/psutil` on your Datasette instance to see various information provided by [psutil](https://psutil.readthedocs.io/). ## Demo https://latest-with-plugins.datasette.io/-/psutil is a live demo of this plugin, hosted on Google Cloud Run. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-psutil" class="anchor" aria-hidden="true" href="#user-content-datasette-psutil"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-psutil</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-psutil/" rel="nofollow"><img src="https://camo.githubusercontent.com/be1734fd4b22f0108384342af796a3468669cbb4d82f0e79b28aeb60f5634904/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d70737574696c2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-psutil.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-psutil/releases"><img src="https://camo.githubusercontent.com/8c025e6a2847072141ce3a8022ce39878eb8adc71fdeed5dbf93a6fa755f3785/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d70737574696c3f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-psutil?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-psutil/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-psutil/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-psutil/blob/main/LICENSE"><img src="https://camo.githubusercontent.co… | 1 | public | 0 | |||||
| 273609879 | MDEwOlJlcG9zaXRvcnkyNzM2MDk4Nzk= | datasette-saved-queries | simonw/datasette-saved-queries | 0 | simonw 9599 | https://github.com/simonw/datasette-saved-queries | Datasette plugin that lets users save and execute queries | 0 | 2020-06-20T00:20:42Z | 2020-09-24T05:08:37Z | 2020-08-15T23:38:46Z | 12 | 2 | 2 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | ["datasette", "datasette-plugin", "datasette-io"] | 0 | 1 | 2 | main | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-saved-queries [](https://pypi.org/project/datasette-saved-queries/) [](https://github.com/simonw/datasette-saved-queries/releases) [](https://github.com/simonw/datasette-saved-queries/blob/master/LICENSE) Datasette plugin that lets users save and execute queries ## Installation Install this plugin in the same environment as Datasette. $ pip install datasette-saved-queries ## Usage When the plugin is installed Datasette will automatically create a `saved_queries` table in the first connected database when it starts up. It also creates a `save_query` writable canned query which you can use to save new queries. Queries that you save will be added to the query list on the database page. ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-saved-queries python -mvenv venv source venv/bin/activate Or if you are using `pipenv`: pipenv shell Now install the dependencies and tests: pip install -e '.[test]' To run the tests: pytest | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-saved-queries" class="anchor" aria-hidden="true" href="#user-content-datasette-saved-queries"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-saved-queries</h1> <p><a href="https://pypi.org/project/datasette-saved-queries/" rel="nofollow"><img src="https://camo.githubusercontent.com/1be37b6bd17b348b570a8c0e73486d46c1b1a3a2f3f0e88d360ea41dd85b6cdb/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d73617665642d717565726965732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-saved-queries.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-saved-queries/releases"><img src="https://camo.githubusercontent.com/5e0c781e8fb49e961b9a45d559f6d6e77aa1269954ba59f648e7855e44dd4fe8/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d73617665642d717565726965733f6c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-saved-queries?label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-saved-queries/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-ca… | ||||||||||
| 274264484 | MDEwOlJlcG9zaXRvcnkyNzQyNjQ0ODQ= | sqlite-generate | simonw/sqlite-generate | 0 | simonw 9599 | https://github.com/simonw/sqlite-generate | Tool for generating demo SQLite databases | 0 | 2020-06-22T23:36:44Z | 2021-02-27T15:25:26Z | 2021-02-27T15:25:24Z | https://sqlite-generate-demo.datasette.io/ | 56 | 17 | 17 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["sqlite", "datasette-io", "datasette-tool"] | 0 | 0 | 17 | main | {"admin": false, "push": false, "pull": false} | 0 | 2 | # sqlite-generate [](https://pypi.org/project/sqlite-generate/) [](https://github.com/simonw/sqlite-generate/releases) [](https://github.com/simonw/sqlite-generate/blob/master/LICENSE) Tool for generating demo SQLite databases ## Installation Install this plugin using `pip`: $ pip install sqlite-generate ## Demo You can see a demo of the database generated using this command running in [Datasette](https://github.com/simonw/datasette) at https://sqlite-generate-demo.datasette.io/ The demo is generated using the following command: sqlite-generate demo.db --seed seed --fts --columns=10 --fks=0,3 --pks=0,2 ## Usage To generate a SQLite database file called `data.db` with 10 randomly named tables in it, run the following: sqlite-generate data.db You can use the `--tables` option to generate a different number of tables: sqlite-generate data.db --tables 20 You can run the command against the same database file multiple times to keep adding new tables, using different settings for each batch of generated tables. By default each table will contain a random number of rows between 0 and 200. You can customize this with the `--rows` option: sqlite-generate data.db --rows 20 This will insert 20 rows into each table. sqlite-generate data.db --rows 500,2000 This inserts a random number of rows between 500 and 2000 into each table. Each table will have 5 columns. You can change this using `--columns`: sqlite-generate data.db --columns 10 `--columns` can also accept a range: sqlite-generate data.db --columns 5,15 You can control the random number seed used with the `--seed` option. This will result in the exact same database file being created by multiple runs of the tool: sqlite-generate data.db --seed=myseed By default each table will contain betwee… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-sqlite-generate" class="anchor" aria-hidden="true" href="#user-content-sqlite-generate"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>sqlite-generate</h1> <p><a href="https://pypi.org/project/sqlite-generate/" rel="nofollow"><img src="https://camo.githubusercontent.com/f0bc12d9a036f8faadbe40bbc37caa416eadf33d6694322ca385c16f2302b575/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f73716c6974652d67656e65726174652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/sqlite-generate.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/sqlite-generate/releases"><img src="https://camo.githubusercontent.com/8acbae82ad62477a2630aee86e3c2c6c498a06acc6fd6d6c08e51779ea3905de/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f73716c6974652d67656e65726174653f6c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/sqlite-generate?label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/sqlite-generate/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" style="max-width:100%;"… | ||||||||
| 274293597 | MDEwOlJlcG9zaXRvcnkyNzQyOTM1OTc= | datasette-block-robots | simonw/datasette-block-robots | 0 | simonw 9599 | https://github.com/simonw/datasette-block-robots | Datasette plugin that blocks robots and crawlers using robots.txt | 0 | 2020-06-23T02:52:23Z | 2022-08-30T16:13:40Z | 2022-08-30T16:25:38Z | https://datasette.io/plugins/datasette-block-robots | 21 | 2 | 2 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ["datasette", "datasette-io", "datasette-plugin", "robots-txt"] | 0 | 0 | 2 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 0 | 2 | # datasette-block-robots [](https://pypi.org/project/datasette-block-robots/) [](https://github.com/simonw/datasette-block-robots/releases) [](https://github.com/simonw/datasette-block-robots/blob/master/LICENSE) Datasette plugin that blocks robots and crawlers using robots.txt ## Installation Install this plugin in the same environment as Datasette. $ pip install datasette-block-robots ## Usage Having installed the plugin, `/robots.txt` on your Datasette instance will return the following: User-agent: * Disallow: / This will request all robots and crawlers not to visit any of the pages on your site. Here's a demo of the plugin in action: https://sqlite-generate-demo.datasette.io/robots.txt ## Configuration By default the plugin will block all access to the site, using `Disallow: /`. If you want the index page to be indexed by search engines without crawling the database, table or row pages themselves, you can use the following: ```json { "plugins": { "datasette-block-robots": { "allow_only_index": true } } } ``` This will return a `/robots.txt` like so: User-agent: * Disallow: /db1 Disallow: /db2 With a `Disallow` line for every attached database. To block access to specific areas of the site using custom paths, add this to your `metadata.json` configuration file: ```json { "plugins": { "datasette-block-robots": { "disallow": ["/mydatabase/mytable"] } } } ``` This will result in a `/robots.txt` that looks like this: User-agent: * Disallow: /mydatabase/mytable Alternatively you can set the full contents of the `robots.txt` file using the `literal` configuration option. Here's how to do that if you are using YAML rather than JSON and have a `metadata.yml` file: … | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-block-robots" class="anchor" aria-hidden="true" href="#user-content-datasette-block-robots"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-block-robots</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-block-robots/" rel="nofollow"><img src="https://camo.githubusercontent.com/f4e772c8056a8f8ea71ddee7622d691ff2292eff02e39a1937dd0acb53ba13f5/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d626c6f636b2d726f626f74732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-block-robots.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-block-robots/releases"><img src="https://camo.githubusercontent.com/bc5b8190e1a2e9d22d6eb0392d076535f3bb7ddf1b4e6f12dc0a2f5a607c948f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d626c6f636b2d726f626f74733f6c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-block-robots?label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-block-robots/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="Lice… | 1 | public | 0 | 0 | |||||
| 275615947 | MDEwOlJlcG9zaXRvcnkyNzU2MTU5NDc= | datasette-glitch | simonw/datasette-glitch | 0 | simonw 9599 | https://github.com/simonw/datasette-glitch | Utilities to help run Datasette on Glitch | 0 | 2020-06-28T15:41:25Z | 2020-07-01T22:48:35Z | 2020-07-01T22:49:22Z | 3 | 1 | 1 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ["glitch", "datasette", "datasette-plugin", "datasette-io"] | 0 | 0 | 1 | main | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-glitch [](https://pypi.org/project/datasette-glitch/) [](https://github.com/simonw/datasette-glitch/releases) [](https://github.com/simonw/datasette-glitch/blob/master/LICENSE) Utilities to help run Datasette on Glitch ## Installation Install this plugin in the same environment as Datasette. $ pip install datasette-glitch ## Usage This plugin outputs a special link which will sign you into Datasette as the root user. Click Tools -> Logs in the Glitch editor interface after your app starts to see the link. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-glitch" class="anchor" aria-hidden="true" href="#user-content-datasette-glitch"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-glitch</h1> <p><a href="https://pypi.org/project/datasette-glitch/" rel="nofollow"><img src="https://camo.githubusercontent.com/da8d1e55f6fa2edbfe632b0cb5b8b97a65d75b3e74cfe2c32992720b136f7fe3/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d676c697463682e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-glitch.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-glitch/releases"><img src="https://camo.githubusercontent.com/8609928bfae188a41e14d2e647a1805211a59fce8f113e4f3bc7a5e8dbcd44b6/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d676c697463683f6c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-glitch?label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-glitch/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" style="max-… | ||||||||||
| 275624346 | MDEwOlJlcG9zaXRvcnkyNzU2MjQzNDY= | datasette-init | simonw/datasette-init | 0 | simonw 9599 | https://github.com/simonw/datasette-init | Ensure specific tables and views exist on startup | 0 | 2020-06-28T16:26:29Z | 2021-06-14T19:43:55Z | 2020-07-01T22:47:09Z | 9 | 1 | 1 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | [] | 0 | 0 | 1 | main | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-init [](https://pypi.org/project/datasette-init/) [](https://github.com/simonw/datasette-init/releases) [](https://github.com/simonw/datasette-init/blob/master/LICENSE) Ensure specific tables and views exist on startup ## Installation Install this plugin in the same environment as Datasette. $ pip install datasette-init ## Usage This plugin is configured using `metadata.json` (or `metadata.yaml`). ### Creating tables Add a block like this that specifies the tables you would like to ensure exist: ```json { "plugins": { "datasette-init": { "my_database": { "tables": { "dogs": { "columns": { "id": "integer", "name": "text", "age": "integer", "weight": "float" }, "pk": "id" } } } } } } ``` Any tables that do not yet exist will be created when Datasette first starts. Valid column types are `"integer"`, `"text"`, `"float"` and `"blob"`. The `"pk"` is optional, and is used to define the primary key. To define a compound primary key (across more than one column) use a list of column names here: ```json "pk": ["id1", "id2"] ``` ### Creating views The plugin can also be used to create views: ```json { "plugins": { "datasette-init": { "my_database": { "views": { "my_view": "select 1 + 1" } } } } } ``` Each view in the ``"views"`` block will be created when the Database first starts. If a view with the same name already exists it will be replaced with the new definition. ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-init python3 -mvenv venv source venv/bin/activate Or if you are usin… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-init" class="anchor" aria-hidden="true" href="#user-content-datasette-init"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-init</h1> <p><a href="https://pypi.org/project/datasette-init/" rel="nofollow"><img src="https://camo.githubusercontent.com/83fefe5c408de5ede9ce3a712c8133a53de0da3cea828b513827c7d14c4c3cb2/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d696e69742e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-init.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-init/releases"><img src="https://camo.githubusercontent.com/c60721d7193f69d423216b711462556b27b48be0c5b33e74b1831a2daea05bdc/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d696e69743f6c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-init?label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-init/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" style="max-width:100%;"></a></p> <p… | ||||||||||
| 275711254 | MDEwOlJlcG9zaXRvcnkyNzU3MTEyNTQ= | datasette-write | simonw/datasette-write | 0 | simonw 9599 | https://github.com/simonw/datasette-write | Datasette plugin providing a UI for executing SQL writes against the database | 0 | 2020-06-29T02:27:31Z | 2021-09-11T06:00:31Z | 2021-09-11T06:03:07Z | https://datasette.io/plugins/datasette-write | 15 | 3 | 3 | Python | 1 | 1 | 1 | 1 | 0 | 2 | 0 | 0 | 2 | ["datasette-io", "datasette-plugin"] | 2 | 2 | 3 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 2 | 2 | # datasette-write [](https://pypi.org/project/datasette-write/) [](https://github.com/simonw/datasette-write/releases) [](https://github.com/simonw/datasette-write/blob/master/LICENSE) Datasette plugin providing a UI for writing to a database ## Installation Install this plugin in the same environment as Datasette. $ pip install datasette-write ## Usage Having installed the plugin, visit `/-/write` on your Datasette instance to submit SQL queries that will be executed against a write connection to the specified database. By default only the `root` user can access the page - so you'll need to run Datasette with the `--root` option and click on the link shown in the terminal to sign in and access the page. The `datasette-write` permission governs access. You can use permission plugins such as [datasette-permissions-sql](https://github.com/simonw/datasette-permissions-sql) to grant additional access to the write interface. ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-write python3 -mvenv venv source venv/bin/activate Or if you are using `pipenv`: pipenv shell Now install the dependencies and tests: pip install -e '.[test]' To run the tests: pytest | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-write" class="anchor" aria-hidden="true" href="#user-content-datasette-write"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-write</h1> <p><a href="https://pypi.org/project/datasette-write/" rel="nofollow"><img src="https://camo.githubusercontent.com/af6b19f94bfb6ec8ed636dff5653009dc4f78e69fd40954cb91643aa191fbf8c/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d77726974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-write.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-write/releases"><img src="https://camo.githubusercontent.com/e1043914eb7cc84d8e2e2f9dbd17ba4051783e6f7da84c9bdce83a3a53e0b9e4/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d77726974653f6c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-write?label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-write/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" style="max-width: 100… | |||||||||
| 279357123 | MDEwOlJlcG9zaXRvcnkyNzkzNTcxMjM= | datasette-auth-passwords | simonw/datasette-auth-passwords | 0 | simonw 9599 | https://github.com/simonw/datasette-auth-passwords | Datasette plugin for authentication using passwords | 0 | 2020-07-13T16:34:39Z | 2022-02-10T22:07:52Z | 2022-03-22T01:49:50Z | https://datasette-auth-passwords-demo.datasette.io | 52 | 12 | 12 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 3 | ["datasette", "datasette-io", "datasette-plugin"] | 0 | 3 | 12 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 0 | 1 | # datasette-auth-passwords [](https://pypi.org/project/datasette-auth-passwords/) [](https://github.com/simonw/datasette-auth-passwords/releases) [](https://github.com/simonw/datasette-auth-passwords/blob/master/LICENSE) Datasette plugin for authenticating access using passwords ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-auth-passwords ## Demo A demo of this plugin is running at https://datasette-auth-passwords-demo.datasette.io/ The demo is configured to show the `public.db` database to everyone, but the `private.db` database only to logged in users. You can log in at https://datasette-auth-passwords-demo.datasette.io/-/login with username `root` and password `password!`. ## Usage This plugin works based on a list of username/password accounts that are hard-coded into the plugin configuration. First, you'll need to create a password hash. There are three ways to do that: - Install the plugin, then use the interactive tool located at `/-/password-tool` - Use the hosted version of that tool at https://datasette-auth-passwords-demo.datasette.io/-/password-tool - Use the `datasette hash-password` command, described below Now add the following to your `metadata.json`: ```json { "plugins": { "datasette-auth-passwords": { "someusername_password_hash": { "$env": "PASSWORD_HASH_1" } } } } ``` The password hash can now be specified in an environment variable when you run Datasette. You can do that like so: PASSWORD_HASH_1='pbkdf2_sha256$...' \ datasette -m metadata.json Be sure to use single quotes here otherwise the `$` symbols in the password hash may be incorrectly interpreted by your shell. You will now be able to log in to you… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-auth-passwords" class="anchor" aria-hidden="true" href="#user-content-datasette-auth-passwords"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-auth-passwords</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-auth-passwords/" rel="nofollow"><img src="https://camo.githubusercontent.com/6069887e91e8732eb602a4f9f0294b4fb71295c8f3fd82133d21bdb062694a96/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d617574682d70617373776f7264732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-auth-passwords.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-auth-passwords/releases"><img src="https://camo.githubusercontent.com/826bb037366364dfa68ab57355193eb9ded8ecb7d137c62e66d8b9502fe9039f/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d617574682d70617373776f7264733f6c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-auth-passwords?label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-auth-passwords/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626… | 1 | public | 0 | ||||||
| 280500027 | MDEwOlJlcG9zaXRvcnkyODA1MDAwMjc= | datasette-insert | simonw/datasette-insert | 0 | simonw 9599 | https://github.com/simonw/datasette-insert | Datasette plugin for inserting and updating data | 0 | 2020-07-17T18:40:34Z | 2022-06-27T02:54:14Z | 2022-07-22T17:52:23Z | 54 | 9 | 9 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | ["datasette", "datasette-io", "datasette-plugin"] | 0 | 1 | 9 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 0 | 2 | # datasette-insert [](https://pypi.org/project/datasette-insert/) [](https://github.com/simonw/datasette-insert/releases) [](https://github.com/simonw/datasette-insert/blob/master/LICENSE) Datasette plugin for inserting and updating data ## Installation Install this plugin in the same environment as Datasette. $ pip install datasette-insert This plugin should always be deployed with additional configuration to prevent unauthenticated access, see notes below. If you are trying it out on your own local machine, you can `pip install` the [datasette-insert-unsafe](https://github.com/simonw/datasette-insert-unsafe) plugin to allow access without needing to set up authentication or permissions separately. ## Inserting data and creating tables Start datasette and make sure it has a writable SQLite database attached to it. If you have not yet created a database file you can use this: datasette data.db --create The `--create` option will create a new empty `data.db` database file if it does not already exist. The plugin adds an endpoint that allows data to be inserted or updated and tables to be created by POSTing JSON data to the following URL: /-/insert/name-of-database/name-of-table The JSON should look like this: ```json [ { "id": 1, "name": "Cleopaws", "age": 5 }, { "id": 2, "name": "Pancakes", "age": 5 } ] ``` The first time data is posted to the URL a table of that name will be created if it does not aready exist, with the desired columns. You can specify which column should be used as the primary key using the `?pk=` URL argument. Here's how to POST to a database and create a new table using the Python `requests` library: ```python import requests requests.post("http://localhost:800… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-insert" class="anchor" aria-hidden="true" href="#user-content-datasette-insert"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-insert</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-insert/" rel="nofollow"><img src="https://camo.githubusercontent.com/f8375e92990e2f5fdcf4657451dccba02132abfd34e39bb49773201264951b85/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d696e736572742e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-insert.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-insert/releases"><img src="https://camo.githubusercontent.com/035155855612d32c93ac562f5316c97a15edc01cc0ef35ad4535951368e9ff42/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d696e736572743f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-insert?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-insert/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" dat… | 1 | public | 0 | 0 | ||||||
| 281481347 | MDEwOlJlcG9zaXRvcnkyODE0ODEzNDc= | datasette-copyable | simonw/datasette-copyable | 0 | simonw 9599 | https://github.com/simonw/datasette-copyable | Datasette plugin for outputting tables in formats suitable for copy and paste | 0 | 2020-07-21T19:04:08Z | 2022-03-26T20:02:45Z | 2022-03-26T20:02:42Z | 11 | 11 | 11 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ["datasette", "datasette-io", "datasette-plugin"] | 0 | 0 | 11 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 0 | 1 | # datasette-copyable [](https://pypi.org/project/datasette-copyable/) [](https://github.com/simonw/datasette-copyable/releases) [](https://github.com/simonw/datasette-copyable/blob/master/LICENSE) Datasette plugin for outputting tables in formats suitable for copy and paste ## Installation Install this plugin in the same environment as Datasette. $ pip install datasette-copyable ## Demo You can try this plugin on [fivethirtyeight.datasettes.com](https://fivethirtyeight.datasettes.com/) - browse for tables or queries there and look for the "copyable" link. Here's an example for a table of [airline safety data](https://fivethirtyeight.datasettes.com/fivethirtyeight/airline-safety~2Fairline-safety.copyable). ## Usage This plugin adds a `.copyable` output extension to every table, view and query. Navigating to this page will show an interface allowing you to select a format for copying and pasting the demo. The default is TSV, which is suitable for copying into Google Sheets or Excel. You can add `?_raw=1` to get back just the raw data. ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-copyable python3 -mvenv venv source venv/bin/activate Or if you are using `pipenv`: pipenv shell Now install the dependencies and tests: pip install -e '.[test]' To run the tests: pytest | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-copyable" class="anchor" aria-hidden="true" href="#user-content-datasette-copyable"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-copyable</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-copyable/" rel="nofollow"><img src="https://camo.githubusercontent.com/b2f6ef49042754455e8b1b28b9f6798720434389c3de9356c1acb9838fae10a8/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d636f707961626c652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-copyable.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-copyable/releases"><img src="https://camo.githubusercontent.com/07698f7d0b34e7b0f7e80f7889418d5c5078a25d72584e1f4e3926d0253b4a32/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d636f707961626c653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-copyable?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-copyable/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e7… | 1 | public | 0 | |||||||
| 284383265 | MDEwOlJlcG9zaXRvcnkyODQzODMyNjU= | datasette-graphql | simonw/datasette-graphql | 0 | simonw 9599 | https://github.com/simonw/datasette-graphql | Datasette plugin providing an automatic GraphQL API for your SQLite databases | 0 | 2020-08-02T03:31:58Z | 2022-07-17T02:00:26Z | 2022-07-18T21:13:34Z | https://datasette-graphql-demo.datasette.io/ | 715 | 63 | 63 | Python | 1 | 1 | 1 | 1 | 0 | 5 | 0 | 0 | 8 | ["datasette", "datasette-io", "datasette-plugin", "graphql", "sqlite"] | 5 | 8 | 63 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 5 | 3 | # datasette-graphql [](https://pypi.org/project/datasette-graphql/) [](https://github.com/simonw/datasette-graphql/releases) [](https://github.com/simonw/datasette-graphql/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-graphql/blob/main/LICENSE) **Datasette plugin providing an automatic GraphQL API for your SQLite databases** Read more about this project: [GraphQL in Datasette with the new datasette-graphql plugin](https://simonwillison.net/2020/Aug/7/datasette-graphql/) Try out a live demo at [datasette-graphql-demo.datasette.io/graphql](https://datasette-graphql-demo.datasette.io/graphql?query=%7B%0A%20%20repos(first%3A10%2C%20search%3A%20%22sql%22%2C%20sort_desc%3A%20created_at)%20%7B%0A%20%20%20%20totalCount%0A%20%20%20%20pageInfo%20%7B%0A%20%20%20%20%20%20endCursor%0A%20%20%20%20%20%20hasNextPage%0A%20%20%20%20%7D%0A%20%20%20%20nodes%20%7B%0A%20%20%20%20%20%20full_name%0A%20%20%20%20%20%20description_%0A%20%20%20%20%09stargazers_count%0A%20%20%20%20%20%20created_at%0A%20%20%20%20%20%20owner%20%7B%0A%20%20%20%20%20%20%20%20name%0A%20%20%20%20%20%20%20%20html_url%0A%20%20%20%20%20%20%7D%0A%20%20%20%20%7D%0A%20%20%7D%0A%7D%0A) <!-- toc --> - [Installation](#installation) - [Usage](#usage) * [Querying for tables and columns](#querying-for-tables-and-columns) * [Fetching a single record](#fetching-a-single-record) * [Accessing nested objects](#accessing-nested-objects) * [Accessing related objects](#accessing-related-objects) * [Filtering tables](#filtering-tables) * [Sorting](#sorting) * [Pagination](#pagination) * [Search](#search) * [Columns containing JSON strings](#columns-containing-json-strings) * [Auto camelCase](#auto-camelcase) * [CORS](… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-graphql" class="anchor" aria-hidden="true" href="#user-content-datasette-graphql"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-graphql</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-graphql/" rel="nofollow"><img src="https://camo.githubusercontent.com/4f158d7a41cfbd69895c661789cfefe5a60276cfc5beb38a22b93f2f212f045b/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d6772617068716c2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-graphql.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-graphql/releases"><img src="https://camo.githubusercontent.com/e6f6b7bc6bee887ca763326a05e8c863827a25a8305f3029d2f71222c4168c08/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d6772617068716c3f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-graphql?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-graphql/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-graphql/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-graphql/blob/main/LICENSE"><img src="https://camo.github… | 1 | public | 0 | 0 | |||||
| 288629766 | MDEwOlJlcG9zaXRvcnkyODg2Mjk3NjY= | datasette-schema-versions | simonw/datasette-schema-versions | 0 | simonw 9599 | https://github.com/simonw/datasette-schema-versions | Datasette plugin that shows the schema version of every attached database | 0 | 2020-08-19T04:04:39Z | 2021-09-11T02:42:37Z | 2021-09-11T02:44:32Z | 5 | 0 | 0 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ["datasette", "datasette-io", "datasette-plugin"] | 0 | 0 | 0 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 0 | 2 | # datasette-schema-versions [](https://pypi.org/project/datasette-schema-versions/) [](https://github.com/simonw/datasette-schema-versions/releases) [](https://github.com/simonw/datasette-schema-versions/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-schema-versions/blob/main/LICENSE) Datasette plugin that shows the schema version of every attached database ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-schema-versions ## Usage Visit `/-/schema-versions` on your Datasette instance to see a numeric version for the schema for each of your databases. Any changes you make to the schema will increase this version number. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-schema-versions" class="anchor" aria-hidden="true" href="#user-content-datasette-schema-versions"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-schema-versions</h1> <p><a href="https://pypi.org/project/datasette-schema-versions/" rel="nofollow"><img src="https://camo.githubusercontent.com/d76a12bb768f47749ba883bf02f411fdf2c82b5312cfbdb50ea78a89a7216a86/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d736368656d612d76657273696f6e732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-schema-versions.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-schema-versions/releases"><img src="https://camo.githubusercontent.com/0e3dace5580b3d4eea8e0a4f8daec3103eadf0be90444db5b77bdb9afcb2b5c8/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d736368656d612d76657273696f6e733f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-schema-versions?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-schema-versions/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-schema-versions/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://gi… | ||||||||||
| 291339086 | MDEwOlJlcG9zaXRvcnkyOTEzMzkwODY= | airtable-export | simonw/airtable-export | 0 | simonw 9599 | https://github.com/simonw/airtable-export | Export Airtable data to YAML, JSON or SQLite files on disk | 0 | 2020-08-29T19:51:37Z | 2021-06-08T17:30:30Z | 2021-04-09T23:41:52Z | https://datasette.io/tools/airtable-export | 41 | 33 | 33 | Python | 1 | 1 | 1 | 1 | 0 | 5 | 0 | 0 | 6 | Apache License 2.0 apache-2.0 | ["yaml", "airtable", "airtable-api", "datasette-io", "datasette-tool"] | 5 | 6 | 33 | main | {"admin": false, "push": false, "pull": false} | 5 | 3 | # airtable-export [](https://pypi.org/project/airtable-export/) [](https://github.com/simonw/airtable-export/releases) [](https://github.com/simonw/airtable-export/actions?query=workflow%3ATest) [](https://github.com/simonw/airtable-export/blob/master/LICENSE) Export Airtable data to files on disk ## Installation Install this tool using `pip`: $ pip install airtable-export ## Usage You will need to know the following information: - Your Airtable base ID - this is a string starting with `app...` - Your Airtable API key - this is a string starting with `key...` - The names of each of the tables that you wish to export You can export all of your data to a folder called `export/` by running the following: airtable-export export base_id table1 table2 --key=key This example would create two files: `export/table1.yml` and `export/table2.yml`. Rather than passing the API key using the `--key` option you can set it as an environment variable called `AIRTABLE_KEY`. ## Export options By default the tool exports your data as YAML. You can also export as JSON or as [newline delimited JSON](http://ndjson.org/) using the `--json` or `--ndjson` options: airtable-export export base_id table1 table2 --key=key --ndjson You can pass multiple format options at once. This command will create a `.json`, `.yml` and `.ndjson` file for each exported table: airtable-export export base_id table1 table2 \ --key=key --ndjson --yaml --json ### SQLite database export You can export tables to a SQLite database file using the `--sqlite database.db` option: airtable-export export base_id table1 table2 \ --key=key --sqlite database.db This can be combined with other format options.… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-airtable-export" class="anchor" aria-hidden="true" href="#user-content-airtable-export"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>airtable-export</h1> <p><a href="https://pypi.org/project/airtable-export/" rel="nofollow"><img src="https://camo.githubusercontent.com/2635595699cd87784148506d703996615d75d6e8d6d0eba3928a886a5ebac963/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6169727461626c652d6578706f72742e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/airtable-export.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/airtable-export/releases"><img src="https://camo.githubusercontent.com/361aa58985cc1f5841b899de85bedd6e7ced2a253334b4dc390bd1762b2f8be5/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6169727461626c652d6578706f72743f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/airtable-export?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/airtable-export/actions?query=workflow%3ATest"><img src="https://github.com/simonw/airtable-export/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/airtable-export/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802… | ||||||||
| 291359358 | MDEwOlJlcG9zaXRvcnkyOTEzNTkzNTg= | datasette-yaml | simonw/datasette-yaml | 0 | simonw 9599 | https://github.com/simonw/datasette-yaml | Export Datasette records as YAML | 0 | 2020-08-29T22:32:15Z | 2020-12-28T03:20:36Z | 2021-05-13T08:59:53Z | 7 | 2 | 2 | Python | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | ["yaml", "datasette", "datasette-plugin", "datasette-io"] | 1 | 1 | 2 | main | {"admin": false, "push": false, "pull": false} | 1 | 1 | # datasette-yaml [](https://pypi.org/project/datasette-yaml/) [](https://github.com/simonw/datasette-yaml/releases) [](https://github.com/simonw/datasette-yaml/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-yaml/blob/main/LICENSE) Export Datasette records as YAML ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-yaml ## Usage Having installed this plugin, every table and query will gain a new `.yaml` export link. You can also construct these URLs directly: `/dbname/tablename.yaml` ## Demo The plugin is running on [covid-19.datasettes.com](https://covid-19.datasettes.co/) - for example [/covid/latest_ny_times_counties_with_populations.yaml](https://covid-19.datasettes.com/covid/latest_ny_times_counties_with_populations.yaml) ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-yaml python3 -mvenv venv source venv/bin/activate Or if you are using `pipenv`: pipenv shell Now install the dependencies and tests: pip install -e '.[test]' To run the tests: pytest | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-yaml" class="anchor" aria-hidden="true" href="#user-content-datasette-yaml"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-yaml</h1> <p><a href="https://pypi.org/project/datasette-yaml/" rel="nofollow"><img src="https://camo.githubusercontent.com/46f8a5a11934b044a19fda3d282e8ec32c2f77cc4e73c7dedc7cb6508e72ec3f/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d79616d6c2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-yaml.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-yaml/releases"><img src="https://camo.githubusercontent.com/cfbcacc1ce66a9127dd962a62d240197dca4b780bf0a70e3a9e8c9707779f41c/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d79616d6c3f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-yaml?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-yaml/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-yaml/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-yaml/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4… | ||||||||||
| 293164447 | MDEwOlJlcG9zaXRvcnkyOTMxNjQ0NDc= | datasette-backup | simonw/datasette-backup | 0 | simonw 9599 | https://github.com/simonw/datasette-backup | Plugin adding backup options to Datasette | 0 | 2020-09-05T22:33:29Z | 2020-09-24T00:16:59Z | 2020-09-07T02:27:30Z | 6 | 1 | 1 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 3 | ["datasette", "datasette-plugin", "datasette-io"] | 0 | 3 | 1 | main | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-backup [](https://pypi.org/project/datasette-backup/) [](https://github.com/simonw/datasette-backup/releases) [](https://github.com/simonw/datasette-backup/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-backup/blob/main/LICENSE) Plugin adding backup options to Datasette ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-backup ## Usage Once installed, you can download a SQL backup of any of your databases from: /-/backup/dbname.sql ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-backup python3 -mvenv venv source venv/bin/activate Or if you are using `pipenv`: pipenv shell Now install the dependencies and tests: pip install -e '.[test]' To run the tests: pytest | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-backup" class="anchor" aria-hidden="true" href="#user-content-datasette-backup"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-backup</h1> <p><a href="https://pypi.org/project/datasette-backup/" rel="nofollow"><img src="https://camo.githubusercontent.com/1f11324a2eb1c6968d27d839ddad8abfe01ae68a37d8d6b808ecfca2eab6af14/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d6261636b75702e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-backup.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-backup/releases"><img src="https://camo.githubusercontent.com/b87d1e53482d2b02fca6a2b3536e7b81b061039c4eb05a353ca71e4bfad2b5e3/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d6261636b75703f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-backup?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-backup/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-backup/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-backup/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb084… | ||||||||||
| 293361514 | MDEwOlJlcG9zaXRvcnkyOTMzNjE1MTQ= | geocode-sqlite | eyeseast/geocode-sqlite | 0 | eyeseast 25778 | https://github.com/eyeseast/geocode-sqlite | Geocode rows in a SQLite database table | 0 | 2020-09-06T21:05:39Z | 2022-11-02T19:19:56Z | 2022-11-07T17:31:05Z | 125 | 223 | 223 | Python | 1 | 1 | 1 | 1 | 0 | 6 | 0 | 0 | 8 | Apache License 2.0 apache-2.0 | [] | 6 | 8 | 223 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 6 | 5 | # geocode-sqlite [](https://pypi.org/project/geocode-sqlite/) [](https://github.com/eyeseast/geocode-sqlite/releases) [](https://github.com/eyeseast/geocode-sqlite/actions?query=workflow%3ATest) [](https://github.com/eyeseast/geocode-sqlite/blob/master/LICENSE) Geocode rows from a SQLite table ## Installation Install this tool using `pip` or `pipx`: ```sh # install inside a virtualenv pip install geocode-sqlite # install globally pipx install geocode-sqlite ``` ## Usage Let's say you have a spreadsheet with addresses in it, and you'd like to map those locations. First, create a SQLite database and insert rows from that spreadsheet using `sqlite-utils`. ```sh sqlite-utils insert data.db data data.csv --csv ``` Now, geocode it using OpenStreetMap's Nominatim geocoder. ```sh geocode-sqlite nominatim data.db data \ --location="{address}, {city}, {state} {zip}" \ --delay=1 \ --user-agent="this-is-me" ``` In the command above, you're using Nominatim, which is free and only asks for a unique user agent (`--user-agent`). This will connect to a database (`data.db`) and read all rows from the table `data` (skipping any that already have both a `latitude` and `longitude` column filled). You're also telling the geocoder how to extract a location query (`--location`) from a row of data, using Python's built-in string formatting, and setting a rate limit (`--delay`) of one request per second. For each row where geocoding succeeds, `latitude` and `longitude` will be populated. If you hit an error, or a rate limit, run the same query and pick up where you left off. The resulting table layout can be visualized with [datasette-cluster-map](https://datasette.io/plugins/datasette-cluster-map). Under th… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-geocode-sqlite" class="anchor" aria-hidden="true" href="#user-content-geocode-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>geocode-sqlite</h1> <p dir="auto"><a href="https://pypi.org/project/geocode-sqlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/48afed6b156b122a781142db699a225016ec438b4f64f9534d5f852433332a50/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f67656f636f64652d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/geocode-sqlite.svg" style="max-width: 100%;"></a> <a href="https://github.com/eyeseast/geocode-sqlite/releases"><img src="https://camo.githubusercontent.com/cca0e9a2e0f5dbbfb761aeb9803bac6602b9831541a309b6c5a73ebec690b35e/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f65796573656173742f67656f636f64652d73716c6974653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/eyeseast/geocode-sqlite?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/eyeseast/geocode-sqlite/actions?query=workflow%3ATest"><img src="https://github.com/eyeseast/geocode-sqlite/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/eyeseast/geocode-sqlite/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e97… | 1 | public | 0 | 0 | 0 | ||||
| 294706267 | MDEwOlJlcG9zaXRvcnkyOTQ3MDYyNjc= | datasette-seaborn | simonw/datasette-seaborn | 0 | simonw 9599 | https://github.com/simonw/datasette-seaborn | Statistical visualizations for Datasette using Seaborn | 0 | 2020-09-11T13:43:08Z | 2022-03-22T01:49:39Z | 2022-03-22T01:49:36Z | https://datasette-seaborn-demo.datasette.io/ | 24 | 11 | 11 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 5 | ["datasette", "datasette-io", "datasette-plugin", "seaborn", "visualization"] | 0 | 5 | 11 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 0 | 2 | # datasette-seaborn [](https://pypi.org/project/datasette-seaborn/) [](https://github.com/simonw/datasette-seaborn/releases) [](https://github.com/simonw/datasette-seaborn/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-seaborn/blob/main/LICENSE) Statistical visualizations for Datasette using Seaborn ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-seaborn ## Usage Navigate to the new `.seaborn` extension for any Datasette table. The `_seaborn` argument specifies a method on `sns` to execute, e.g. `?_seaborn=relplot`. Extra arguments to those methods can be specified using e.g. `&_seaborn_x=column_name`. ## Configuration The plugin implements a default rendering time limit of five seconds. You can customize this limit using the `render_time_limit` setting, which accepts a floating point number of seconds. Add this to your `metadata.json`: ```json { "plugins": { "datasette-seaborn": { "render_time_limit": 1.0 } } } ``` ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-seaborn python3 -mvenv venv source venv/bin/activate Or if you are using `pipenv`: pipenv shell Now install the dependencies and tests: pip install -e '.[test]' To run the tests: pytest | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-seaborn" class="anchor" aria-hidden="true" href="#user-content-datasette-seaborn"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-seaborn</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-seaborn/" rel="nofollow"><img src="https://camo.githubusercontent.com/c0a14e4147c52777b94b74dd7e3fc2c3e58dc5f896dadaf7128ab52b1facd581/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d736561626f726e2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-seaborn.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-seaborn/releases"><img src="https://camo.githubusercontent.com/33834b7d5f3a4df257e0c20b9d8c6729f1b720d257bd6bc33c0cbf60a91382c7/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d736561626f726e3f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-seaborn?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-seaborn/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-seaborn/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-seaborn/blob/main/LICENSE"><img src="https://camo.github… | 1 | public | 0 | ||||||
| 299143849 | MDEwOlJlcG9zaXRvcnkyOTkxNDM4NDk= | datasette-dateutil | simonw/datasette-dateutil | 0 | simonw 9599 | https://github.com/simonw/datasette-dateutil | dateutil functions for Datasette | 0 | 2020-09-28T00:14:20Z | 2022-03-01T00:09:57Z | 2022-03-01T01:40:21Z | 18 | 6 | 6 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | ["datasette", "datasette-io", "datasette-plugin", "dateutil"] | 0 | 2 | 6 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 0 | 2 | # datasette-dateutil [](https://pypi.org/project/datasette-dateutil/) [](https://github.com/simonw/datasette-dateutil/releases) [](https://github.com/simonw/datasette-dateutil/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-dateutil/blob/main/LICENSE) dateutil functions for Datasette ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-dateutil ## Usage This function adds custom SQL functions that expose functionality from the [dateutil](https://dateutil.readthedocs.io/) Python library. Once installed, the following SQL functions become available: ### Parsing date strings - `dateutil_parse(text)` - returns an ISO8601 date string parsed from the text, or `null` if the input could not be parsed. `dateutil_parse("10 october 2020 3pm")` returns `2020-10-10T15:00:00`. - `dateutil_parse_fuzzy(text)` - same as `dateutil_parse()` but this also works against strings that contain a date somewhere within them - that date will be returned, or `null` if no dates could be found. `dateutil_parse_fuzzy("This is due 10 september")` returns `2020-09-10T00:00:00` (but will start returning the 2021 version of that if the year is 2021). The `dateutil_parse()` and `dateutil_parse_fuzzy()` functions both follow the American convention of assuming that `1/2/2020` lists the month first, evaluating this example to the 2nd of January. If you want to assume that the day comes first, use these two functions instead: - `dateutil_parse_dayfirst(text)` - `dateutil_parse_fuzzy_dayfirst(text)` Here's a query demonstrating these functions: ```sql select dateutil_parse("10 october 2020 3pm"), dateutil_parse_fuzzy("This is due 10 septem… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-dateutil" class="anchor" aria-hidden="true" href="#user-content-datasette-dateutil"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-dateutil</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-dateutil/" rel="nofollow"><img src="https://camo.githubusercontent.com/0e859dccf125298272af85fddd25900a6c9a11a9ebba16d8cc93782759d53e21/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d646174657574696c2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-dateutil.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-dateutil/releases"><img src="https://camo.githubusercontent.com/084ae9754f14a59ff18c2c74d621cab421866c6af7f4c99c9c94588cdf6cac2a/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d646174657574696c3f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-dateutil?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-dateutil/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-dateutil/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-dateutil/blob/main/LICENSE"><img src="https… | 1 | public | 0 | |||||||
| 299198369 | MDEwOlJlcG9zaXRvcnkyOTkxOTgzNjk= | datasette-import-table | simonw/datasette-import-table | 0 | simonw 9599 | https://github.com/simonw/datasette-import-table | Datasette plugin for importing tables from other Datasette instances | 0 | 2020-09-28T05:30:07Z | 2022-06-09T15:27:33Z | 2022-06-09T16:40:22Z | 20 | 0 | 0 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | ["datasette", "datasette-io", "datasette-plugin"] | 0 | 2 | 0 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 0 | 2 | # datasette-import-table [](https://pypi.org/project/datasette-import-table/) [](https://github.com/simonw/datasette-import-table/releases) [](https://github.com/simonw/datasette-import-table/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-import-table/blob/main/LICENSE) Datasette plugin for importing tables from other Datasette instances ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-import-table ## Usage Visit `/-/import-table` for the interface. Paste in the URL to a table page on another Datasette instance and click the button to import that table. By default only [the root actor](https://datasette.readthedocs.io/en/stable/authentication.html#using-the-root-actor) can access the page - so you'll need to run Datasette with the `--root` option and click on the link shown in the terminal to sign in and access the page. The `import-table` permission governs access. You can use permission plugins such as [datasette-permissions-sql](https://github.com/simonw/datasette-permissions-sql) to grant additional access to the write interface. ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-import-table python3 -mvenv venv source venv/bin/activate Or if you are using `pipenv`: pipenv shell Now install the dependencies and tests: pip install -e '.[test]' To run the tests: pytest | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-import-table" class="anchor" aria-hidden="true" href="#user-content-datasette-import-table"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-import-table</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-import-table/" rel="nofollow"><img src="https://camo.githubusercontent.com/5ca70be082ec2a51a5a9ac69089d124ec92434735a9d91f42d65e08acca81519/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d696d706f72742d7461626c652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-import-table.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-import-table/releases"><img src="https://camo.githubusercontent.com/dd97f8f33028724e99b858c1b6f002b6d4463796b64d0bf405b316b690270127/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d696d706f72742d7461626c653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-import-table?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-import-table/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-import-table/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/d… | 1 | public | 0 | |||||||
| 303218369 | MDEwOlJlcG9zaXRvcnkzMDMyMTgzNjk= | evernote-to-sqlite | dogsheep/evernote-to-sqlite | 0 | dogsheep 53015001 | https://github.com/dogsheep/evernote-to-sqlite | Tools for converting Evernote content to SQLite | 0 | 2020-10-11T21:45:49Z | 2021-08-26T19:01:54Z | 2021-08-26T19:02:47Z | 51 | 24 | 24 | Python | 1 | 1 | 1 | 1 | 0 | 4 | 0 | 0 | 3 | Apache License 2.0 apache-2.0 | ["datasette-io", "datasette-tool", "dogsheep", "evernote", "sqlite"] | 4 | 3 | 24 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | dogsheep 53015001 | 4 | 4 | # evernote-to-sqlite [](https://pypi.org/project/evernote-to-sqlite/) [](https://github.com/dogsheep/evernote-to-sqlite/releases) [](https://github.com/dogsheep/evernote-to-sqlite/actions?query=workflow%3ATest) [](https://github.com/dogsheep/evernote-to-sqlite/blob/master/LICENSE) Tools for converting Evernote content to SQLite. See [Building an Evernote to SQLite exporter](https://simonwillison.net/2020/Oct/16/building-evernote-sqlite-exporter/) for background on this project. ## Installation Install this tool using `pip`: $ pip install evernote-to-sqlite ## Usage Currently the only available command is `evernote-to-sqlite enex`, which converts Evernote's ENEX export files into a SQLite database. You can create [an ENEX export](https://help.evernote.com/hc/en-us/articles/209005557-Export-notes-and-notebooks-as-ENEX-or-HTML) in the Evernote desktop application by selecting some notes (or all of your notes) and using the `File -> Export Notes...` menu option. This used to be able to export everything in one go, but it looks like more recent Evernote versions only allow exporting up to fifty notes at a time, or let you export an entire notebook by right-clicking on the notebook and selecting "Export notebook...". You can convert that file to SQLite like so: $ evernote-to-sqlite enex evernote.db MyNotes.enex This will display a progress bar and create a SQLite database file called `evernote.db`. ### Limitations Unfortunately the ENEX export format does not include a unique identifier for each note. This means you cannot use this tool to re-import notes after they have been updated - you should consider this tool to be a one-time transformation of an ENEX file into an equi… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-evernote-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-evernote-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>evernote-to-sqlite</h1> <p><a href="https://pypi.org/project/evernote-to-sqlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/0035842afd045b61cc5c6ee9c8394c181ac4daf3530bf212349f37a05bebcdbb/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f657665726e6f74652d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/evernote-to-sqlite.svg" style="max-width:100%;"></a> <a href="https://github.com/dogsheep/evernote-to-sqlite/releases"><img src="https://camo.githubusercontent.com/b51eee78bbc51296102af124839ed665bf3f17755f4dbff95c4bc8ed0713d763/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f646f6773686565702f657665726e6f74652d746f2d73716c6974653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/dogsheep/evernote-to-sqlite?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/dogsheep/evernote-to-sqlite/actions?query=workflow%3ATest"><img src="https://github.com/dogsheep/evernote-to-sqlite/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/dogsheep/evernote-to-sqlite/blob/master/LICENSE"><img src="https://camo.g… | ||||||||
| 305199661 | MDEwOlJlcG9zaXRvcnkzMDUxOTk2NjE= | sphinx-to-sqlite | simonw/sphinx-to-sqlite | 0 | simonw 9599 | https://github.com/simonw/sphinx-to-sqlite | Create a SQLite database from Sphinx documentation | 0 | 2020-10-18T21:26:55Z | 2020-12-19T05:08:12Z | 2020-10-22T04:55:45Z | 9 | 2 | 2 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | Apache License 2.0 apache-2.0 | ["sqlite", "sphinx", "datasette-io", "datasette-tool"] | 0 | 2 | 2 | main | {"admin": false, "push": false, "pull": false} | 0 | 2 | # sphinx-to-sqlite [](https://pypi.org/project/sphinx-to-sqlite/) [](https://github.com/simonw/sphinx-to-sqlite/releases) [](https://github.com/simonw/sphinx-to-sqlite/actions?query=workflow%3ATest) [](https://github.com/simonw/sphinx-to-sqlite/blob/master/LICENSE) Create a SQLite database from Sphinx documentation. ## Demo You can see the results of running this tool against the [Datasette documentation](https://docs.datasette.io/) at https://latest-docs.datasette.io/docs/sections ## Installation Install this tool using `pip`: $ pip install sphinx-to-sqlite ## Usage First run `sphinx-build` with the `-b xml` option to create XML files in your `_build/` directory. Then run: $ sphinx-to-sqlite docs.db path/to/_build To build the SQLite database. ## Development To contribute to this tool, first checkout the code. Then create a new virtual environment: cd sphinx-to-sqlite python -mvenv venv source venv/bin/activate Or if you are using `pipenv`: pipenv shell Now install the dependencies and tests: pip install -e '.[test]' To run the tests: pytest | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-sphinx-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-sphinx-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>sphinx-to-sqlite</h1> <p><a href="https://pypi.org/project/sphinx-to-sqlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/877d22c6402df75a56257c7d5a426d35ee787ab139307e4a7060c7d706b4c6cd/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f737068696e782d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/sphinx-to-sqlite.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/sphinx-to-sqlite/releases"><img src="https://camo.githubusercontent.com/69509856ca4dd51d3c9e67530adbd0f1f662719a608252a8d9cb5bdc3b90590b/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f737068696e782d746f2d73716c6974653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/sphinx-to-sqlite?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/sphinx-to-sqlite/actions?query=workflow%3ATest"><img src="https://github.com/simonw/sphinx-to-sqlite/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/sphinx-to-sqlite/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0… | |||||||||
| 308930118 | MDEwOlJlcG9zaXRvcnkzMDg5MzAxMTg= | datasette-edit-templates | simonw/datasette-edit-templates | 0 | simonw 9599 | https://github.com/simonw/datasette-edit-templates | Plugin allowing Datasette templates to be edited within Datasette | 0 | 2020-10-31T16:58:29Z | 2022-09-14T20:59:49Z | 2022-10-27T23:00:04Z | 18 | 1 | 1 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 3 | [] | 0 | 3 | 1 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 0 | 2 | # datasette-edit-templates [](https://pypi.org/project/datasette-edit-templates/) [](https://github.com/simonw/datasette-edit-templates/releases) [](https://github.com/simonw/datasette-edit-templates/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-edit-templates/blob/main/LICENSE) Plugin allowing Datasette templates to be edited within Datasette. ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-edit-templates ## Usage Once installed, sign in as the root user using `datasette mydb.db --root`. On startup. a `_templates_` table will be created in the database you are running Datasette against. Use the app menu to navigate to the `/-/edit-templates` page, and edit templates there. Changes should become visible instantly, and will be persisted to your database. ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-edit-templates python3 -mvenv venv source venv/bin/activate Or if you are using `pipenv`: pipenv shell Now install the dependencies and tests: pip install -e '.[test]' To run the tests: pytest | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-edit-templates" class="anchor" aria-hidden="true" href="#user-content-datasette-edit-templates"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-edit-templates</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-edit-templates/" rel="nofollow"><img src="https://camo.githubusercontent.com/8bd45e7c1cf6353064781737c607c810b3f222dbac8997eadeb42439d58217e1/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d656469742d74656d706c617465732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-edit-templates.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-edit-templates/releases"><img src="https://camo.githubusercontent.com/d5f67a37f11adcc81a796bf7521637fc57bfe0eacb3c03983481bcb964ad4f86/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d656469742d74656d706c617465733f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-edit-templates?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-edit-templates/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-edit-templates/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="h… | 1 | public | 0 | 0 | ||||||
| 312934001 | MDEwOlJlcG9zaXRvcnkzMTI5MzQwMDE= | datasette-indieauth | simonw/datasette-indieauth | 0 | simonw 9599 | https://github.com/simonw/datasette-indieauth | Datasette authentication using IndieAuth and RelMeAuth | 0 | 2020-11-15T01:18:21Z | 2022-10-25T01:00:43Z | 2022-10-25T01:34:47Z | 51 | 8 | 8 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | ["datasette", "datasette-io", "datasette-plugin", "indieauth"] | 0 | 1 | 8 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 0 | 3 | 1 | public | 0 | 0 | ||||||||
| 315796015 | MDEwOlJlcG9zaXRvcnkzMTU3OTYwMTU= | datasette-ripgrep | simonw/datasette-ripgrep | 0 | simonw 9599 | https://github.com/simonw/datasette-ripgrep | Web interface for searching your code using ripgrep, built as a Datasette plugin | 0 | 2020-11-25T01:26:36Z | 2022-04-24T03:48:42Z | 2022-06-30T22:45:03Z | https://ripgrep.datasette.io | 55 | 58 | 58 | Python | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 6 | Apache License 2.0 apache-2.0 | ["codesearch", "datasette", "datasette-io", "datasette-plugin", "ripgrep"] | 1 | 6 | 58 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 1 | 3 | # datasette-ripgrep [](https://pypi.org/project/datasette-ripgrep/) [](https://github.com/simonw/datasette-ripgrep/releases) [](https://github.com/simonw/datasette-ripgrep/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-ripgrep/blob/main/LICENSE) Web interface for searching your code using [ripgrep](https://github.com/BurntSushi/ripgrep), built as a [Datasette](https://datasette.io/) plugin For background on this project see [datasette-ripgrep: deploy a regular expression search engine for your source code](https://simonwillison.net/2020/Nov/28/datasette-ripgrep/). ## Demo Try this plugin out at https://ripgrep.datasette.io/-/ripgrep - where you can run regular expression searches across the source code of Datasette and all of the `datasette-*` plugins belonging to the [simonw GitHub user](https://github.com/simonw). Some example searches: - [with.\*AsyncClient](https://ripgrep.datasette.io/-/ripgrep?pattern=with.*AsyncClient) - regular expression search for `with.*AsyncClient` - [.plugin_config, literal=on](https://ripgrep.datasette.io/-/ripgrep?pattern=.plugin_config\(&literal=on) - a non-regular expression search for `.plugin_config(` - [with.\*AsyncClient glob=datasette/\*\*](https://ripgrep.datasette.io/-/ripgrep?pattern=with.*AsyncClient&glob=datasette%2F%2A%2A) - search for that pattern only within the `datasette/` top folder - ["sqlite-utils\[">\] glob=setup.py](https://ripgrep.datasette.io/-/ripgrep?pattern=%22sqlite-utils%5B%22%3E%5D&glob=setup.py) - a regular expression search for packages that depend on either `sqlite-utils` or `sqlite-utils>=some-version` - [test glob=!\*.html](https://ripgrep.datasette.io/-/ripgrep?pattern=test&glob=%21*.html) - search fo… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-ripgrep" class="anchor" aria-hidden="true" href="#user-content-datasette-ripgrep"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-ripgrep</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-ripgrep/" rel="nofollow"><img src="https://camo.githubusercontent.com/ebcbf381887ee3c4ed1c9da54876d414e77b4a1c7eb1056f8ea8c7b4a24e8156/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d726970677265702e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-ripgrep.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-ripgrep/releases"><img src="https://camo.githubusercontent.com/355fe4e16e5f39a0efea997bbb0d4b0eead22e1975695ca00351fa8f14deb370/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d726970677265703f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-ripgrep?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-ripgrep/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-ripgrep/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-ripgrep/blob/main/LICENSE"><img src="https://camo.github… | 1 | public | 0 | 0 | ||||
| 327087207 | MDEwOlJlcG9zaXRvcnkzMjcwODcyMDc= | datasette-css-properties | simonw/datasette-css-properties | 0 | simonw 9599 | https://github.com/simonw/datasette-css-properties | Experimental Datasette output plugin using CSS properties | 0 | 2021-01-05T18:38:07Z | 2021-01-12T17:43:11Z | 2021-01-07T22:07:19Z | 10 | 12 | 12 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | ["datasette-plugin", "datasette-io"] | 0 | 1 | 12 | main | {"admin": false, "push": false, "pull": false} | 0 | 2 | # datasette-css-properties [](https://pypi.org/project/datasette-css-properties/) [](https://github.com/simonw/datasette-css-properties/releases) [](https://github.com/simonw/datasette-css-properties/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-css-properties/blob/main/LICENSE) Extremely experimental Datasette output plugin using CSS properties, inspired by [Custom Properties as State](https://css-tricks.com/custom-properties-as-state/) by Chris Coyier. More about this project: [APIs from CSS without JavaScript: the datasette-css-properties plugin](https://simonwillison.net/2021/Jan/7/css-apis-no-javascript/) ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-css-properties ## Usage Once installed, this plugin adds a `.css` output format to every query result. This will return the first row in the query as a valid CSS file, defining each column as a custom property: Example: https://latest-with-plugins.datasette.io/fixtures/roadside_attractions.css produces: ```css :root { --pk: '1'; --name: 'The Mystery Spot'; --address: '465 Mystery Spot Road, Santa Cruz, CA 95065'; --latitude: '37.0167'; --longitude: '-122.0024'; } ``` If you link this stylesheet to your page you can then do things like this; ```html <link rel="stylesheet" href="https://latest-with-plugins.datasette.io/fixtures/roadside_attractions.css"> <style> .attraction-name:after { content: var(--name); } </style> <p class="attraction-name">Attraction name: </p> ``` Values will be quoted as CSS strings by default. If you want to return a "raw" value without the quotes - for example to set a CSS property that is nume… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-css-properties" class="anchor" aria-hidden="true" href="#user-content-datasette-css-properties"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-css-properties</h1> <p><a href="https://pypi.org/project/datasette-css-properties/" rel="nofollow"><img src="https://camo.githubusercontent.com/73ef89bdb78bfff22274d72faf1843c5862cc6072d2df7743d43361fb6f5cace/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d6373732d70726f706572746965732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-css-properties.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-css-properties/releases"><img src="https://camo.githubusercontent.com/a67e245842d1c8a894df0cbab28ce5643293cfbe70b75afedcea53403d0750b2/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d6373732d70726f706572746965733f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-css-properties?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-css-properties/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-css-properties/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/… | ||||||||||
| 327236119 | MDEwOlJlcG9zaXRvcnkzMjcyMzYxMTk= | datasette-export-notebook | simonw/datasette-export-notebook | 0 | simonw 9599 | https://github.com/simonw/datasette-export-notebook | Datasette plugin providing instructions for exporting data to Jupyter or Observable | 0 | 2021-01-06T07:37:00Z | 2021-12-23T23:19:42Z | 2021-12-23T23:19:38Z | 21 | 10 | 10 | Python | 1 | 1 | 1 | 1 | 0 | 2 | 0 | 0 | 2 | ["datasette-io", "datasette-plugin"] | 2 | 2 | 10 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 2 | 2 | # datasette-export-notebook [](https://pypi.org/project/datasette-export-notebook/) [](https://github.com/simonw/datasette-export-notebook/releases) [](https://github.com/simonw/datasette-export-notebook/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-export-notebook/blob/main/LICENSE) Datasette plugin providing instructions for exporting data to a [Jupyter](https://jupyter.org/) or [Observable](https://observablehq.com/) notebook. ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-export-notebook ## Usage Once installed, the plugin will add a `.Notebook` export option to every table and query. Clicking on this link will show instructions for exporting the data to Jupyter or Observable. ## Demo You can see this plugin in action on the [latest-with-plugins.datasette.io](https://latest-with-plugins.datasette.io/) Datasette instance - for example on [/github/commits.Notebook](https://latest-with-plugins.datasette.io/github/commits.Notebook). ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-export-notebook python3 -mvenv venv source venv/bin/activate Or if you are using `pipenv`: pipenv shell Now install the dependencies and tests: pip install -e '.[test]' To run the tests: pytest | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-export-notebook" class="anchor" aria-hidden="true" href="#user-content-datasette-export-notebook"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-export-notebook</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-export-notebook/" rel="nofollow"><img src="https://camo.githubusercontent.com/55cb2eea5bd120b89a8a3ee593e89d0b0f6342d404d471abec751dbde396b747/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d6578706f72742d6e6f7465626f6f6b2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-export-notebook.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-export-notebook/releases"><img src="https://camo.githubusercontent.com/228563530ce305c8c67655839cea391aefa48f9b89ce07ba82d77f40b1c07a21/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d6578706f72742d6e6f7465626f6f6b3f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-export-notebook?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-export-notebook/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-export-notebook/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></… | 1 | public | 0 | |||||||
| 330304628 | MDEwOlJlcG9zaXRvcnkzMzAzMDQ2Mjg= | datasette-query-history | bretwalker/datasette-query-history | 0 | bretwalker 181698 | https://github.com/bretwalker/datasette-query-history | 0 | 2021-01-17T03:13:34Z | 2021-04-18T03:06:36Z | 2021-01-17T23:11:37Z | 75 | 3 | 3 | JavaScript | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | [] | 0 | 0 | 3 | main | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-query-history [](https://pypi.org/project/datasette-query-history/) [](https://github.com/bretwalker/datasette-query-history/releases) [](https://github.com/bretwalker/datasette-query-history/actions?query=workflow%3ATest) [](https://github.com/bretwalker/datasette-query-history/blob/main/LICENSE) Datasette plugin that keeps a list of the queries you've run and lets you rerun them. ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-query-history ## Usage Click the `Query History` button on the SQL editor page to see previous queries. Click the ⬆︎ button to replace the current query with a previous query. Click the `Clear Query History` button to clear the list previous queries. <img src="https://raw.githubusercontent.com/bretwalker/datasette-query-history/main/docs/datasette-query-history-example1.png" width="350px" alt="Screenshot of plugin"> ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-query-history python3 -mvenv venv source venv/bin/activate Or if you are using `pipenv`: pipenv shell Now install the dependencies and tests: pip install -e '.[test]' To run the tests: pytest | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-query-history" class="anchor" aria-hidden="true" href="#user-content-datasette-query-history"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-query-history</h1> <p><a href="https://pypi.org/project/datasette-query-history/" rel="nofollow"><img src="https://camo.githubusercontent.com/d74ad3a4fc71b2fea733dcc8f934843e15f176363d7016e72f0f2e2a159148df/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d71756572792d686973746f72792e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-query-history.svg" style="max-width:100%;"></a> <a href="https://github.com/bretwalker/datasette-query-history/releases"><img src="https://camo.githubusercontent.com/9b546caa8588b66ba6dea138d26a307e46e9e28bc6de43117a4bc7afec6dc7fb/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f6272657477616c6b65722f6461746173657474652d71756572792d686973746f72793f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/bretwalker/datasette-query-history?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/bretwalker/datasette-query-history/actions?query=workflow%3ATest"><img src="https://github.com/bretwalker/datasette-query-history/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.… | ||||||||||
| 331151708 | MDEwOlJlcG9zaXRvcnkzMzExNTE3MDg= | datasette-leaflet-freedraw | simonw/datasette-leaflet-freedraw | 0 | simonw 9599 | https://github.com/simonw/datasette-leaflet-freedraw | Draw polygons on maps in Datasette | 0 | 2021-01-20T00:55:03Z | 2021-12-17T22:07:50Z | 2022-02-03T20:24:37Z | 1177 | 9 | 9 | Python | 1 | 1 | 1 | 1 | 0 | 2 | 0 | 0 | 2 | ["datasette", "datasette-io", "datasette-plugin", "leafletjs"] | 2 | 2 | 9 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 2 | 2 | # datasette-leaflet-freedraw [](https://pypi.org/project/datasette-leaflet-freedraw/) [](https://github.com/simonw/datasette-leaflet-freedraw/releases) [](https://github.com/simonw/datasette-leaflet-freedraw/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-leaflet-freedraw/blob/main/LICENSE) Draw polygons on maps in Datasette Project background: [Drawing shapes on a map to query a SpatiaLite database](https://simonwillison.net/2021/Jan/24/drawing-shapes-spatialite/). ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-leaflet-freedraw ## Usage If a table has a SpatiaLite `geometry` column, the plugin will add a map interface to the table page allowing users to draw a shape on the map to find rows with a geometry that intersects that shape. The plugin can also work with arbitrary SQL queries. There it looks for input fields with a name of `freedraw` or that ends in `_freedraw` and replaces them with a map interface. The map interface uses the [FreeDraw](https://freedraw.herokuapp.com/) Leaflet plugin. ## Demo You can try out this plugin to run searches against the GreenInfo Network California Protected Areas Database. Here's [an example query](https://calands.datasettes.com/calands?sql=select%0D%0A++AsGeoJSON%28geometry%29%2C+*%0D%0Afrom%0D%0A++CPAD_2020a_SuperUnits%0D%0Awhere%0D%0A++PARK_NAME+like+%27%25mini%25%27+and%0D%0A++Intersects%28GeomFromGeoJSON%28%3Afreedraw%29%2C+geometry%29+%3D+1%0D%0A++and+CPAD_2020a_SuperUnits.rowid+in+%28%0D%0A++++select%0D%0A++++++rowid%0D%0A++++from%0D%0A++++++SpatialIndex%0D%0A++++where%0D%0A++++++f_table_name+%3D+%27CPAD_2020a_SuperUnits%27%0D%0A+++… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-leaflet-freedraw" class="anchor" aria-hidden="true" href="#user-content-datasette-leaflet-freedraw"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-leaflet-freedraw</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-leaflet-freedraw/" rel="nofollow"><img src="https://camo.githubusercontent.com/43771dd02f1327b1f2ae2bdd743e01865626d143ca9e98a37700a8747300465f/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d6c6561666c65742d66726565647261772e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-leaflet-freedraw.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-leaflet-freedraw/releases"><img src="https://camo.githubusercontent.com/8c5d6738c95e5fb3628c688c1eb79e970c822e9880493b52f0a62089e1b3e40c/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d6c6561666c65742d66726565647261773f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-leaflet-freedraw?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-leaflet-freedraw/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-leaflet-freedraw/workflows/Test/badge.svg" alt="Tests" style="max-wid… | 1 | public | 0 | |||||||
| 331720824 | MDEwOlJlcG9zaXRvcnkzMzE3MjA4MjQ= | datasette-leaflet | simonw/datasette-leaflet | 0 | simonw 9599 | https://github.com/simonw/datasette-leaflet | Datasette plugin adding the Leaflet JavaScript library | 0 | 2021-01-21T18:41:19Z | 2021-04-20T16:27:35Z | 2021-02-01T22:20:28Z | 124 | 3 | 3 | JavaScript | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | ["datasette", "datasette-plugin", "datasette-io"] | 0 | 2 | 3 | main | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-leaflet [](https://pypi.org/project/datasette-leaflet/) [](https://github.com/simonw/datasette-leaflet/releases) [](https://github.com/simonw/datasette-leaflet/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-leaflet/blob/main/LICENSE) Datasette plugin adding the [Leaflet](https://leafletjs.com/) JavaScript library. A growing number of Datasette plugins depend on the Leaflet JavaScript mapping library. They each have their own way of loading Leaflet, which could result in loading it multiple times (with multiple versions) if more than one plugin is installed. This library is intended to solve this problem, by providing a single plugin they can all depend on that loads Leaflet in a reusable way. Plugins that use this: - [datasette-leaflet-freedraw](https://datasette.io/plugins/datasette-leaflet-freedraw) - [datasette-leaflet-geojson](https://datasette.io/plugins/datasette-leaflet-geojson) - [datasette-cluster-map](https://datasette.io/plugins/datasette-cluster-map) ## Installation You can install this plugin like so: datasette install datasette-leaflet Usually this plugin will be a dependency of other plugins, so it should be installed automatically when you install them. ## Usage The plugin makes `leaflet.js` and `leaflet.css` available as static files. It provides two custom template variables with the URLs of those two files. - `{{ datasette_leaflet_url }}` is the URL to the JavaScript - `{{ datasette_leaflet_css_url }}` is the URL to the CSS These URLs are also made available as global JavaScript constants: - `datasette.leaflet.JAVASCRIPT_URL` - `datasette.leaflet.CSS_URL` The JavaScript is packaed as a [JavaScript module](https://developer.m… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-leaflet" class="anchor" aria-hidden="true" href="#user-content-datasette-leaflet"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-leaflet</h1> <p><a href="https://pypi.org/project/datasette-leaflet/" rel="nofollow"><img src="https://camo.githubusercontent.com/50da3783cf231c9646e762bf20cfd464779db8b979de8627d491b9b4589e37c6/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d6c6561666c65742e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-leaflet.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-leaflet/releases"><img src="https://camo.githubusercontent.com/8b54c9ff200877b23b90a28f91e1d361b5881fd92bf524df8b412176ce98a505/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d6c6561666c65743f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-leaflet?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-leaflet/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-leaflet/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-leaflet/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e9… | ||||||||||
| 335137108 | MDEwOlJlcG9zaXRvcnkzMzUxMzcxMDg= | datasette-basemap | simonw/datasette-basemap | 0 | simonw 9599 | https://github.com/simonw/datasette-basemap | A basemap for Datasette and datasette-leaflet | 0 | 2021-02-02T01:49:09Z | 2021-02-03T21:56:20Z | 2021-02-03T21:56:18Z | https://datasette.io/plugins/datasette-basemap | 43 | 1 | 1 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ["openstreetmap", "mbtiles", "datasette", "datasette-plugin", "datasette-io"] | 0 | 0 | 1 | main | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-basemap [](https://pypi.org/project/datasette-basemap/) [](https://github.com/simonw/datasette-basemap/releases) [](https://github.com/simonw/datasette-basemap/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-basemap/blob/main/LICENSE) A basemap for Datasette and datasette-leaflet ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-basemap ## Usage This plugin will make a `basemap` database available containing OpenStreetMap tiles for zoom levels 0-6 in the [mbtiles](https://github.com/mapbox/mbtiles-spec) format. It is designed for use with the [datasette-tiles](https://datasette.io/plugins/datasette-tiles) tile server plugin. ## Demo You can preview this map at https://datasette-tiles-demo.datasette.io/-/tiles/basemap and browse the database directly at https://datasette-tiles-demo.datasette.io/basemap ## License The data bundled with this package is © OpenStreetMap contributors, licensed under the [Open Data Commons Open Database License](https://opendatacommons.org/licenses/odbl/). See [this page](https://www.openstreetmap.org/copyright) for more details. ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-basemap python3 -mvenv venv source venv/bin/activate Or if you are using `pipenv`: pipenv shell Now install the dependencies and tests: pip install -e '.[test]' To run the tests: pytest | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-basemap" class="anchor" aria-hidden="true" href="#user-content-datasette-basemap"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-basemap</h1> <p><a href="https://pypi.org/project/datasette-basemap/" rel="nofollow"><img src="https://camo.githubusercontent.com/9e2030246117aed0c545320f2597b7cfefec254930d354c648b4a5ef1f695e4d/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d626173656d61702e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-basemap.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-basemap/releases"><img src="https://camo.githubusercontent.com/7280ebff6265b28b5c3d37fe294e2bef782ad2cc64e0ca8281b119555e6ac485/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d626173656d61703f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-basemap?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-basemap/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-basemap/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-basemap/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e9… | |||||||||
| 335175637 | MDEwOlJlcG9zaXRvcnkzMzUxNzU2Mzc= | datasette-tiles | simonw/datasette-tiles | 0 | simonw 9599 | https://github.com/simonw/datasette-tiles | Mapping tile server for Datasette, serving tiles from MBTiles packages | 0 | 2021-02-02T05:11:12Z | 2022-03-22T01:52:30Z | 2022-03-22T01:52:27Z | https://datasette.io/plugins/datasette-tiles | 54 | 4 | 4 | Python | 1 | 1 | 1 | 1 | 0 | 4 | 0 | 0 | 8 | ["datasette", "datasette-io", "datasette-plugin", "mbtiles"] | 4 | 8 | 4 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 4 | 3 | # datasette-tiles [](https://pypi.org/project/datasette-tiles/) [](https://github.com/simonw/datasette-tiles/releases) [](https://github.com/simonw/datasette-tiles/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-tiles/blob/main/LICENSE) Datasette plugin for serving MBTiles map tiles ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-tiles ## Demo You can try this plugin out at https://datasette-tiles-demo.datasette.io/-/tiles ## Usage This plugin scans all database files connected to Datasette to see if any of them are valid MBTiles databases. It can then serve tiles from those databases at the following URL: /-/tiles/db-name/zoom/x/y.png An example map for each database demonstrating the configured minimum and maximum zoom for that database can be found at `/-/tiles/db-name` - this can also be accessed via the table and database action menus for that database. Visit `/-/tiles` for an index page of attached valid databases. You can install the [datasette-basemap](https://datasette.io/plugins/datasette-basemap) plugin to get a `basemap` default set of tiles, handling zoom levels 0 to 6 using OpenStreetMap. ### Tile coordinate systems There are two tile coordinate systems in common use for online maps. The first is used by OpenStreetMap and Google Maps, the second is from a specification called [Tile Map Service](https://en.wikipedia.org/wiki/Tile_Map_Service), or TMS. Both systems use three components: `z/x/y` - where `z` is the zoom level, `x` is the column and `y` is the row. The difference is in the way the `y` value is counted. OpenStreetMap has y=0 at the top. TMS has y=0 at the bottom. An illustrat… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-tiles" class="anchor" aria-hidden="true" href="#user-content-datasette-tiles"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-tiles</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-tiles/" rel="nofollow"><img src="https://camo.githubusercontent.com/72c38bbf12ff995549cf94a6c7ca06d205a19cf3543af89763d47186340b37a0/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d74696c65732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-tiles.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-tiles/releases"><img src="https://camo.githubusercontent.com/6aa9bdcd93e33cd40ad13d0d00224d316b3743f498bd502f2f751ab7315618e2/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d74696c65733f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-tiles?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-tiles/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-tiles/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-tiles/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c… | 1 | public | 0 | ||||||
| 335372050 | MDEwOlJlcG9zaXRvcnkzMzUzNzIwNTA= | download-tiles | simonw/download-tiles | 0 | simonw 9599 | https://github.com/simonw/download-tiles | Download map tiles and store them in an MBTiles database | 0 | 2021-02-02T17:37:49Z | 2021-05-29T07:22:58Z | 2021-02-16T04:19:59Z | https://datasette.io/tools/download-tiles | 26 | 9 | 9 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | Apache License 2.0 apache-2.0 | ["openstreetmap", "mbtiles", "datasette-io", "datasette-tool"] | 0 | 0 | 9 | main | {"admin": false, "push": false, "pull": false} | 0 | 1 | # download-tiles [](https://pypi.org/project/download-tiles/) [](https://github.com/simonw/download-tiles/releases) [](https://github.com/simonw/download-tiles/actions?query=workflow%3ATest) [](https://github.com/simonw/download-tiles/blob/master/LICENSE) Download map tiles and store them in an MBTiles database ## Installation Install this tool using `pip`: $ pip install download-tiles ## Usage This tool downloads tiles from a specified [TMS (Tile Map Server)](https://wiki.openstreetmap.org/wiki/TMS) server for a specified bounding box and range of zoom levels and stores those tiles in a MBTiles SQLite database. It is a command-line wrapper around the [Landez](https://github.com/makinacorpus/landez) Python libary. **Please use this tool responsibly**. Consult the usage policies of the tile servers you are interacting with, for example the [OpenStreetMap Tile Usage Policy](https://operations.osmfoundation.org/policies/tiles/). Running the following will download zoom levels 0-3 of OpenStreetMap, 85 tiles total, and store them in a SQLite database called `world.mbtiles`: download-tiles world.mbtiles You can customize which tile and zoom levels are downloaded using command options: `--zoom-levels=0-3` or `-z=0-3` The different zoom levels to download. Specify a single number, e.g. `15`, or a range of numbers e.g. `0-4`. Be careful with this setting as you can easily go over the limits requested by the underlying tile server. `--bbox=3.9,-6.3,14.5,10.2` or `-b=3.9,-6.3,14.5,10.2` The bounding box to fetch. Should be specified as `min-lon,min-lat,max-lon,max-lat`. You can use [bboxfinder.com](http://bboxfinder.com/) to find these for different areas. `--city=london` or `--country=madagas… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-download-tiles" class="anchor" aria-hidden="true" href="#user-content-download-tiles"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>download-tiles</h1> <p><a href="https://pypi.org/project/download-tiles/" rel="nofollow"><img src="https://camo.githubusercontent.com/82c46313526394b774727137f12ac6fbf6606364edbee19ebd99c951953b04b5/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f646f776e6c6f61642d74696c65732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/download-tiles.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/download-tiles/releases"><img src="https://camo.githubusercontent.com/32d363e282d2f95ba1b135630d328b8b61459c3e97b2b4e2fe1ec629be13d80e/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f646f776e6c6f61642d74696c65733f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/download-tiles?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/download-tiles/actions?query=workflow%3ATest"><img src="https://github.com/simonw/download-tiles/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/download-tiles/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7… | ||||||||
| 342126610 | MDEwOlJlcG9zaXRvcnkzNDIxMjY2MTA= | datasette-block | simonw/datasette-block | 0 | simonw 9599 | https://github.com/simonw/datasette-block | Block all access to specific path prefixes | 0 | 2021-02-25T04:51:08Z | 2021-02-25T08:18:28Z | 2021-02-25T05:03:45Z | https://datasette.io/plugins/datasette-block | 4 | 1 | 1 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ["datasette", "datasette-plugin", "datasette-io"] | 0 | 0 | 1 | main | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-block [](https://pypi.org/project/datasette-block/) [](https://github.com/simonw/datasette-block/releases) [](https://github.com/simonw/datasette-block/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-block/blob/main/LICENSE) Block all access to specific path prefixes ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-block ## Configuration Add the following to `metadata.json` to block specific path prefixes: ```json { "plugins": { "datasette-block": { "prefixes": ["/all/"] } } } ``` This will cause a 403 error to be returned for any path beginning with `/all/`. This blocking happens as an ASGI wrapper around Datasette. ## Why would you need this? You almost always would not. I use it with `datasette-ripgrep` to block access to static assets for unauthenticated users. ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-block python3 -mvenv venv source venv/bin/activate Or if you are using `pipenv`: pipenv shell Now install the dependencies and tests: pip install -e '.[test]' To run the tests: pytest | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-block" class="anchor" aria-hidden="true" href="#user-content-datasette-block"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-block</h1> <p><a href="https://pypi.org/project/datasette-block/" rel="nofollow"><img src="https://camo.githubusercontent.com/eedcb03a8e4f528e044cee8db9b02e79782b8a9bccf66bd239701d9d7a991984/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d626c6f636b2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-block.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-block/releases"><img src="https://camo.githubusercontent.com/05cef47f53da7aaccdd3a18a809f166b816ac100f83757b2488082897269f5b4/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d626c6f636b3f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-block?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-block/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-block/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-block/blob/main/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb… | |||||||||
| 346597557 | MDEwOlJlcG9zaXRvcnkzNDY1OTc1NTc= | tableau-to-sqlite | simonw/tableau-to-sqlite | 0 | simonw 9599 | https://github.com/simonw/tableau-to-sqlite | Fetch data from Tableau into a SQLite database | 0 | 2021-03-11T06:12:02Z | 2021-06-10T04:40:44Z | 2021-04-29T16:11:03Z | 212 | 8 | 8 | Python | 1 | 1 | 1 | 1 | 0 | 2 | 0 | 0 | 2 | Apache License 2.0 apache-2.0 | ["datasette-io", "datasette-tool"] | 2 | 2 | 8 | main | {"admin": false, "push": false, "pull": false} | 2 | 1 | # tableau-to-sqlite [](https://pypi.org/project/tableau-to-sqlite/) [](https://github.com/simonw/tableau-to-sqlite/releases) [](https://github.com/simonw/tableau-to-sqlite/actions?query=workflow%3ATest) [](https://github.com/simonw/tableau-to-sqlite/blob/master/LICENSE) Fetch data from Tableau into a SQLite database. A wrapper around [TableauScraper](https://github.com/bertrandmartel/tableau-scraping/). ## Installation Install this tool using `pip`: $ pip install tableau-to-sqlite ## Usage If you have the URL to a Tableau dashboard like this: https://results.mo.gov/t/COVID19/views/VaccinationsDashboard/Vaccinations You can pass that directly to the tool: tableau-to-sqlite tableau.db \ https://results.mo.gov/t/COVID19/views/VaccinationsDashboard/Vaccinations This will create a SQLite database called `tableau.db` containing one table for each of the worksheets in that dashboard. If the dashboard is hosted on https://public.tableau.com/ you can instead provide the view name. This will be two strings separated by a `/` symbol - something like this: OregonCOVID-19VaccineProviderEnrollment/COVID-19VaccineProviderEnrollment Now run the tool like this: tableau-to-sqlite tableau.db \ OregonCOVID-19VaccineProviderEnrollment/COVID-19VaccineProviderEnrollment ## Get the data as JSON or CSV If you're building a [git scraper](https://simonwillison.net/2020/Oct/9/git-scraping/) you may want to convert the data gathered by this tool to CSV or JSON to check into your repository. You can do that using [sqlite-utils](https://sqlite-utils.datasette.io/). Install it using `pip`: pip install sqlite-utils You can dump out a table as JSON like so: sqlite-utils ro… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-tableau-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-tableau-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>tableau-to-sqlite</h1> <p><a href="https://pypi.org/project/tableau-to-sqlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/bdda6efc6980f655c99f0475b322f27bbc413e7e13e847e55e697dd135d10601/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f7461626c6561752d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/tableau-to-sqlite.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/tableau-to-sqlite/releases"><img src="https://camo.githubusercontent.com/fd18da3a8541734c627a9be68134477abe876a8695165916ff7c8c5bbf7269eb/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f7461626c6561752d746f2d73716c6974653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/tableau-to-sqlite?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/tableau-to-sqlite/actions?query=workflow%3ATest"><img src="https://github.com/simonw/tableau-to-sqlite/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/tableau-to-sqlite/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104… | |||||||||
| 347263722 | MDEwOlJlcG9zaXRvcnkzNDcyNjM3MjI= | django-sql-dashboard | simonw/django-sql-dashboard | 0 | simonw 9599 | https://github.com/simonw/django-sql-dashboard | Django app for building dashboards using raw SQL queries | 0 | 2021-03-13T03:38:23Z | 2022-04-19T01:13:12Z | 2022-04-20T00:27:39Z | https://django-sql-dashboard.datasette.io/ | 513 | 335 | 335 | Python | 1 | 1 | 1 | 1 | 0 | 28 | 0 | 0 | 25 | Apache License 2.0 apache-2.0 | ["dashboards", "datasette-io", "datasette-tool", "django", "sql"] | 28 | 25 | 335 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 28 | 9 | # django-sql-dashboard [](https://pypi.org/project/django-sql-dashboard/) [](https://github.com/simonw/django-sql-dashboard/releases) [](https://github.com/simonw/django-sql-dashboard/actions?query=workflow%3ATest) [](http://django-sql-dashboard.datasette.io/en/latest/?badge=latest) [](https://github.com/simonw/django-sql-dashboard/blob/main/LICENSE) Django SQL Dashboard provides an authenticated interface for executing read-only SQL queries directly against your PostgreSQL database, bringing a useful subset of [Datasette](https://datasette.io/) to Django. Applications include ad-hoc analysis and debugging, plus the creation of reporting dashboards that can be shared with team members or published online. See my blog for [more about this project](https://simonwillison.net/2021/May/10/django-sql-dashboard/), including [a video demo](https://www.youtube.com/watch?v=ausrmMZkPEY). Features include: - Safely run read-only one or more SQL queries against your database and view the results in your browser - Bookmark queries and share those links with other members of your team - Create [saved dashboards](https://django-sql-dashboard.datasette.io/en/latest/saved-dashboards.html) from your queries, with full control over who can view and edit them - [Named parameters](https://django-sql-dashboard.datasette.io/en/latest/sql.html#sql-parameters) such as `select * from entries where id = %(id)s` will be turned into form fields, allowing quick creation of interactive dashboards - Produce [bar charts](https://django-sql-dashboard.datasette.io/en/latest/widgets.html#bar-label-bar-quantity), [progres… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-django-sql-dashboard" class="anchor" aria-hidden="true" href="#user-content-django-sql-dashboard"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>django-sql-dashboard</h1> <p dir="auto"><a href="https://pypi.org/project/django-sql-dashboard/" rel="nofollow"><img src="https://camo.githubusercontent.com/87a7771e261b30e7b0da09a83f2d6120ce484b068a0d844a41d2f945141194d1/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f646a616e676f2d73716c2d64617368626f6172642e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/django-sql-dashboard.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/django-sql-dashboard/releases"><img src="https://camo.githubusercontent.com/f3c931ccf5487f5df160f339f767aba9ac45e15a5f4e8beb37fd6e33cbc239c0/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f646a616e676f2d73716c2d64617368626f6172643f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/django-sql-dashboard?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/django-sql-dashboard/actions?query=workflow%3ATest"><img src="https://github.com/simonw/django-sql-dashboard/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="http://django-sql-dashboard.datasette.io/en/latest/?b… | 1 | public | 0 | |||||
| 361014273 | MDEwOlJlcG9zaXRvcnkzNjEwMTQyNzM= | datasette-dashboards | rclement/datasette-dashboards | 0 | rclement 1238873 | https://github.com/rclement/datasette-dashboards | Datasette plugin providing data dashboards from metadata | 0 | 2021-04-23T21:56:48Z | 2022-09-21T13:03:39Z | 2022-10-07T07:18:03Z | https://datasette-dashboards-demo.vercel.app | 1746 | 74 | 74 | Python | 1 | 1 | 1 | 1 | 0 | 3 | 0 | 0 | 3 | Apache License 2.0 apache-2.0 | ["dashboards", "data-visualization", "datasette", "datasette-io", "datasette-plugin", "sql", "vega-lite"] | 3 | 3 | 74 | master | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 3 | 1 | # datasette-dashboards > Datasette plugin providing data dashboards from metadata [](https://pypi.org/project/datasette-dashboards/) [](https://github.com/rclement/datasette-dashboards/actions/workflows/ci-cd.yml) [](https://codecov.io/gh/rclement/datasette-dashboards) [](https://github.com/rclement/datasette-dashboards/blob/master/LICENSE) Try out a live demo at [https://datasette-dashboards-demo.vercel.app](https://datasette-dashboards-demo.vercel.app/-/dashboards) **WARNING**: this plugin is still experimental and not ready for production. Some breaking changes might happen between releases before reaching a stable version. Use it at your own risks!  ## Installation Install this plugin in the same environment as Datasette: ```bash $ datasette install datasette-dashboards ``` ## Usage Define dashboards within `metadata.yml` / `metadata.json`: ```yaml plugins: datasette-dashboards: my-dashboard: title: My Dashboard description: Showing some nice metrics layout: - [analysis-note, events-count] - [analysis-note, events-source] filters: date_start: name: Date Start type: date default: "2021-01-01" date_end: name: Date End type: date charts: analysis-note: library: markdown display: |- # Analysis notes > A quick rundown of events statistics and KPIs events-count: title: Total number of events db: jobs query: SELECT count(*) as count FROM events … | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-dashboards" class="anchor" aria-hidden="true" href="#user-content-datasette-dashboards"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-dashboards</h1> <blockquote> <p dir="auto">Datasette plugin providing data dashboards from metadata</p> </blockquote> <p dir="auto"><a href="https://pypi.org/project/datasette-dashboards/" rel="nofollow"><img src="https://camo.githubusercontent.com/f362a9e19c9666117e279326df7065185827fbec6acab7c6ae6c5e7e379191db/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d64617368626f617264732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-dashboards.svg" style="max-width: 100%;"></a> <a href="https://github.com/rclement/datasette-dashboards/actions/workflows/ci-cd.yml"><img src="https://github.com/rclement/datasette-dashboards/actions/workflows/ci-cd.yml/badge.svg" alt="CI/CD" style="max-width: 100%;"></a> <a href="https://codecov.io/gh/rclement/datasette-dashboards" rel="nofollow"><img src="https://camo.githubusercontent.com/12d74ac8b571a59d446ce62428195bfc76d2027e8394fb3cb1e8584bdf025c9f/68747470733a2f2f696d672e736869656c64732e696f2f636f6465636f762f632f6769746875622f72636c656d656e742f6461746173657474652d64617368626f61726473" alt="Coverage Status" data-canonical-src="https://img.shields.io/codecov/c/github/rclement/datasette-dashboards" style="max-width: 100%;"></a> <a href="https://github.com/rcleme… | 1 | public | 0 | 0 | ||||
| 374846311 | MDEwOlJlcG9zaXRvcnkzNzQ4NDYzMTE= | datasette-geojson | eyeseast/datasette-geojson | 0 | eyeseast 25778 | https://github.com/eyeseast/datasette-geojson | Add GeoJSON output to Datasette queries | 0 | 2021-06-08T01:33:19Z | 2022-02-16T19:59:42Z | 2022-02-16T20:02:49Z | 1102 | 3 | 3 | Python | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 3 | ["datasette-io", "datasette-plugin", "geojson", "gis", "sqlite"] | 1 | 3 | 3 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 1 | 1 | # datasette-geojson [](https://pypi.org/project/datasette-geojson/) [](https://github.com/eyeseast/datasette-geojson/releases) [](https://github.com/eyeseast/datasette-geojson/actions?query=workflow%3ATest) [](https://github.com/eyeseast/datasette-geojson/blob/main/LICENSE) Add GeoJSON as an output option for datasette queries. ## Installation Install this plugin in the same environment as Datasette. datasette install datasette-geojson ## Usage To render GeoJSON, add a `.geojson` extension to any query URL that includes a `geometry` column. That column should be a valid [GeoJSON geometry](https://datatracker.ietf.org/doc/html/rfc7946#section-3.1). For example, you might use [geojson-to-sqlite](https://pypi.org/project/geojson-to-sqlite/) or [shapefile-to-sqlite](https://pypi.org/project/shapefile-to-sqlite/) to load [neighborhood boundaries](https://bostonopendata-boston.opendata.arcgis.com/datasets/3525b0ee6e6b427f9aab5d0a1d0a1a28_0/explore) into a SQLite database. ```sh wget -O neighborhoods.geojson https://opendata.arcgis.com/datasets/3525b0ee6e6b427f9aab5d0a1d0a1a28_0.geojson geojson-to-sqlite boston.db neighborhoods neighborhoods.geojson --spatial-index # create a spatial index datasette serve boston.db --load-extension spatialite ``` If you're using Spatialite, the geometry column will be in a binary format. If not, make sure the `geometry` column is a well-formed [GeoJSON geometry](https://datatracker.ietf.org/doc/html/rfc7946#section-3.1). If you used `geojson-to-sqlite` or `shapefile-to-sqlite`, you should be all set. Run this query in Datasette and you'll see a link to download GeoJSON: ```sql select rowid, OBJECTID, Name, Acres, Neighborhood_ID, SqMiles, … | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1 dir="auto"><a id="user-content-datasette-geojson" class="anchor" aria-hidden="true" href="#user-content-datasette-geojson"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-geojson</h1> <p dir="auto"><a href="https://pypi.org/project/datasette-geojson/" rel="nofollow"><img src="https://camo.githubusercontent.com/526d2a27eb7e19691a8f966dba069780f3fe109d6ac662d72901ff561f31b133/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d67656f6a736f6e2e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-geojson.svg" style="max-width: 100%;"></a> <a href="https://github.com/eyeseast/datasette-geojson/releases"><img src="https://camo.githubusercontent.com/367e4f55f2b376367d7fbc8ab6ec5d765b3b04590149b3a8f60794cd39a5b54d/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f65796573656173742f6461746173657474652d67656f6a736f6e3f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/eyeseast/datasette-geojson?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/eyeseast/datasette-geojson/actions?query=workflow%3ATest"><img src="https://github.com/eyeseast/datasette-geojson/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/eyeseast/datasette-geojson/blob/main/LICENSE"><img src="https… | 1 | public | 0 | |||||||
| 375546675 | MDEwOlJlcG9zaXRvcnkzNzU1NDY2NzU= | datasette-placekey | simonw/datasette-placekey | 0 | simonw 9599 | https://github.com/simonw/datasette-placekey | SQL functions for working with placekeys | 0 | 2021-06-10T02:31:27Z | 2021-06-10T02:33:22Z | 2021-06-10T02:32:42Z | https://datasette.io/plugins/datasette-placekey | 3 | 0 | 0 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | ["datasette", "datasette-plugin", "datasette-io", "placekey"] | 0 | 1 | 0 | main | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-placekey [](https://pypi.org/project/datasette-placekey/) [](https://github.com/simonw/datasette-placekey/releases) [](https://github.com/simonw/datasette-placekey/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-placekey/blob/main/LICENSE) SQL functions for working with [placekeys](https://www.placekey.io/). ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-placekey ## Usage The following SQL functions are exposed - [documentation here](https://placekey.github.io/placekey-py/placekey.html#module-placekey.placekey). ```sql select geo_to_placekey(33.0896104,129.7900839), placekey_to_geo('@6nh-nhh-kvf'), placekey_to_geo_latitude('@6nh-nhh-kvf'), placekey_to_geo_longitude('@6nh-nhh-kvf'), placekey_to_h3('@6nh-nhh-kvf'), h3_to_placekey('8a30d94e4c87fff'), placekey_to_geojson('@6nh-nhh-kvf'), placekey_to_wkt('@6nh-nhh-kvf'), placekey_format_is_valid('@6nh-nhh-kvf'); ``` ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-placekey python3 -mvenv venv source venv/bin/activate Or if you are using `pipenv`: pipenv shell Now install the dependencies and tests: pip install -e '.[test]' To run the tests: pytest | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-placekey" class="anchor" aria-hidden="true" href="#user-content-datasette-placekey"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-placekey</h1> <p><a href="https://pypi.org/project/datasette-placekey/" rel="nofollow"><img src="https://camo.githubusercontent.com/a570339480e04ec2eedd623479156b479b30fafcd8fa2ff60250a22ee4e77ed2/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d706c6163656b65792e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-placekey.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-placekey/releases"><img src="https://camo.githubusercontent.com/120db4c1d380188526a62cbe06a80176d5be627da0b962b724e32422291df31c/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d706c6163656b65793f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-placekey?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-placekey/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-placekey/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-placekey/blob/main/LICENSE"><img src="https://camo.githubusercontent… |
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CREATE TABLE [repos] (
[id] INTEGER PRIMARY KEY,
[node_id] TEXT,
[name] TEXT,
[full_name] TEXT,
[private] INTEGER,
[owner] INTEGER REFERENCES [users]([id]),
[html_url] TEXT,
[description] TEXT,
[fork] INTEGER,
[created_at] TEXT,
[updated_at] TEXT,
[pushed_at] TEXT,
[homepage] TEXT,
[size] INTEGER,
[stargazers_count] INTEGER,
[watchers_count] INTEGER,
[language] TEXT,
[has_issues] INTEGER,
[has_projects] INTEGER,
[has_downloads] INTEGER,
[has_wiki] INTEGER,
[has_pages] INTEGER,
[forks_count] INTEGER,
[archived] INTEGER,
[disabled] INTEGER,
[open_issues_count] INTEGER,
[license] TEXT,
[topics] TEXT,
[forks] INTEGER,
[open_issues] INTEGER,
[watchers] INTEGER,
[default_branch] TEXT,
[permissions] TEXT,
[temp_clone_token] TEXT,
[organization] INTEGER REFERENCES [users]([id]),
[network_count] INTEGER,
[subscribers_count] INTEGER, [readme] TEXT, [readme_html] TEXT, [allow_forking] INTEGER, [visibility] TEXT, [is_template] INTEGER, [template_repository] TEXT, [web_commit_signoff_required] INTEGER, [has_discussions] INTEGER,
FOREIGN KEY([license]) REFERENCES [licenses]([key])
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CREATE INDEX [idx_repos_owner]
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