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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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| 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… | ||||||||
| 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.… | ||||||||||
| 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… | ||||||||
| 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… | ||||||||
| 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… | |||||||||
| 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… | |||||||||
| 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… | |||||||||
| 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… | ||||||||
| 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… | |||||||||
| 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/… | |||||||||
| 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/… | ||||||||
| 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… | |||||||||
| 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:/… | |||||||||
| 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… | ||||||||||
| 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-… | ||||||||||
| 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… | ||||||||||
| 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… | |||||||||
| 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… | |||||||||
| 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])
);
CREATE INDEX [idx_repos_license]
ON [repos] ([license]);
CREATE INDEX [idx_repos_organization]
ON [repos] ([organization]);
CREATE INDEX [idx_repos_owner]
ON [repos] ([owner]);