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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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| 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.… | ||||||||||
| 190950781 | MDEwOlJlcG9zaXRvcnkxOTA5NTA3ODE= | datasette-bplist | simonw/datasette-bplist | 0 | simonw 9599 | https://github.com/simonw/datasette-bplist | Datasette plugin for working with Apple's binary plist format | 0 | 2019-06-09T01:15:01Z | 2021-06-07T18:05:00Z | 2019-06-09T01:17:19Z | 7 | 9 | 9 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | Apache License 2.0 apache-2.0 | ["bplist", "datasette", "datasette-plugin", "datasette-io"] | 0 | 1 | 9 | master | {"admin": false, "push": false, "pull": false} | 0 | 0 | # datasette-bplist [](https://pypi.org/project/datasette-bplist/) [](https://circleci.com/gh/simonw/datasette-bplist) [](https://github.com/simonw/datasette-bplist/blob/master/LICENSE) Datasette plugin for working with Apple's [binary plist](https://en.wikipedia.org/wiki/Property_list) format. This plugin adds two features: a display hook and a SQL function. The display hook will detect any database values that are encoded using the binary plist format. It will decode them, convert them into JSON and display them pretty-printed in the Datasette UI. The SQL function `bplist_to_json(value)` can be used inside a SQL query to convert a binary plist value into a JSON string. This can then be used with SQLite's `json_extract()` function or with the [datasette-jq](https://github.com/simonw/datasette-jq) plugin to further analyze that data as part of a SQL query. Install this plugin in the same environment as Datasette to enable this new functionality: pip install datasette-bplist ## Trying it out If you use a Mac you already have plenty of SQLite databases that contain binary plist data. One example is the database that powers the Apple Photos app. This database tends to be locked, so you will need to create a copy of the database in order to run queries against it: cp ~/Pictures/Photos\ Library.photoslibrary/database/photos.db /tmp/photos.db The database also makes use of custom SQLite extensions which prevent it from opening in Datasette. You can work around this by exporting the data that you want to experiment with into a new SQLite file. I recommend trying this plugin against the `RKMaster_dataNote` table, which contains plist-encoded EXIF metadata about the photos you have taken. You can export that table into a fresh database like so: sqlite3 /tmp/photos.db ".dump RKMaster_dataNote" | … | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-bplist" class="anchor" aria-hidden="true" href="#user-content-datasette-bplist"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-bplist</h1> <p><a href="https://pypi.org/project/datasette-bplist/" rel="nofollow"><img src="https://camo.githubusercontent.com/a6a0093ab5212f3444dc00643b1dddd80bba4eea970443b0cbab79157ebab0ea/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d62706c6973742e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-bplist.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/simonw/datasette-bplist" rel="nofollow"><img src="https://camo.githubusercontent.com/b4666b829d10d25169928fd8de374c652be7345117ec655c69ba8e6d8b9d2421/68747470733a2f2f636972636c6563692e636f6d2f67682f73696d6f6e772f6461746173657474652d62706c6973742e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/simonw/datasette-bplist.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-bplist/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" style="max-width:100%;"></a></p> <p>Datasette plugin fo… | |||||||||
| 191022928 | MDEwOlJlcG9zaXRvcnkxOTEwMjI5Mjg= | datasette-render-binary | simonw/datasette-render-binary | 0 | simonw 9599 | https://github.com/simonw/datasette-render-binary | Datasette plugin for rendering binary data | 0 | 2019-06-09T15:25:52Z | 2021-06-02T09:29:20Z | 2019-06-13T16:14:31Z | 62 | 7 | 7 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-plugin", "datasette-io"] | 0 | 1 | 7 | master | {"admin": false, "push": false, "pull": false} | 0 | 1 | # datasette-render-binary [](https://pypi.org/project/datasette-render-binary/) [](https://circleci.com/gh/simonw/datasette-render-binary) [](https://github.com/simonw/datasette-render-binary/blob/master/LICENSE) Datasette plugin for rendering binary data. Install this plugin in the same environment as Datasette to enable this new functionality: pip install datasette-render-binary Binary data in cells will now be rendered as a mixture of characters and octets.  | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-render-binary" class="anchor" aria-hidden="true" href="#user-content-datasette-render-binary"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-render-binary</h1> <p><a href="https://pypi.org/project/datasette-render-binary/" rel="nofollow"><img src="https://camo.githubusercontent.com/a83615e99f9534c53bfc77b437ad7e5b60431113905c2dcc6a1832df12ce734a/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d72656e6465722d62696e6172792e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-render-binary.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/simonw/datasette-render-binary" rel="nofollow"><img src="https://camo.githubusercontent.com/969d0483aca477a61ba4afc0f0aa6ed38f54509ea1376031d455864f01ed217a/68747470733a2f2f636972636c6563692e636f6d2f67682f73696d6f6e772f6461746173657474652d72656e6465722d62696e6172792e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/simonw/datasette-render-binary.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-render-binary/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/li… | |||||||||
| 195696804 | MDEwOlJlcG9zaXRvcnkxOTU2OTY4MDQ= | datasette-cors | simonw/datasette-cors | 0 | simonw 9599 | https://github.com/simonw/datasette-cors | Datasette plugin for configuring CORS headers | 0 | 2019-07-07T21:03:11Z | 2021-02-27T00:31:13Z | 2019-07-11T04:40:57Z | 11 | 9 | 9 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | Apache License 2.0 apache-2.0 | ["datasette", "datasette-plugin", "datasette-io"] | 0 | 1 | 9 | master | {"admin": false, "push": false, "pull": false} | 0 | 3 | # datasette-cors [](https://pypi.org/project/datasette-cors/) [](https://circleci.com/gh/simonw/datasette-cors) [](https://github.com/simonw/datasette-cors/blob/master/LICENSE) Datasette plugin for configuring CORS headers, based on https://github.com/simonw/asgi-cors You can use this plugin to allow JavaScript running on a whitelisted set of domains to make `fetch()` calls to the JSON API provided by your Datasette instance. ## Installation pip install datasette-cors ## Configuration You need to add some configuration to your Datasette `metadata.json` file for this plugin to take effect. To whitelist specific domains, use this: ```json { "plugins": { "datasette-cors": { "hosts": ["https://www.example.com"] } } } ``` You can also whitelist patterns like this: ```json { "plugins": { "datasette-cors": { "host_wildcards": ["https://*.example.com"] } } } ``` ## Testing it To test this plugin out, run it locally by saving one of the above examples as `metadata.json` and running this: $ datasette --memory -m metadata.json Now visit https://www.example.com/ in your browser, open the browser developer console and paste in the following: ```javascript fetch("http://127.0.0.1:8001/:memory:.json?sql=select+sqlite_version%28%29").then(r => r.json()).then(console.log) ``` If the plugin is running correctly, you will see the JSON response output to the console. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-cors" class="anchor" aria-hidden="true" href="#user-content-datasette-cors"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-cors</h1> <p><a href="https://pypi.org/project/datasette-cors/" rel="nofollow"><img src="https://camo.githubusercontent.com/3f4dc5b1725858ca83723674cadd1a59373f3f4265fb01eb43c91ca9380b24bb/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d636f72732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-cors.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/simonw/datasette-cors" rel="nofollow"><img src="https://camo.githubusercontent.com/831507d824fb545803ebf51bf318c316eb5f9405e6cc9dabcb4835f356f4053d/68747470733a2f2f636972636c6563692e636f6d2f67682f73696d6f6e772f6461746173657474652d636f72732e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/simonw/datasette-cors.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-cors/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" style="max-width:100%;"></a></p> <p>Datasette plugin for configuring CORS heade… | |||||||||
| 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… | ||||||||
| 245670670 | MDEwOlJlcG9zaXRvcnkyNDU2NzA2NzA= | fec-to-sqlite | simonw/fec-to-sqlite | 0 | simonw 9599 | https://github.com/simonw/fec-to-sqlite | Save FEC campaign finance data to a SQLite database | 0 | 2020-03-07T16:52:49Z | 2020-12-19T05:09:05Z | 2020-03-07T18:21:48Z | 16 | 8 | 8 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | Apache License 2.0 apache-2.0 | ["sqlite", "fec", "datasette", "datasette-io", "datasette-tool"] | 0 | 1 | 8 | master | {"admin": false, "push": false, "pull": false} | 0 | 2 | # fec-to-sqlite [](https://pypi.org/project/fec-to-sqlite/) [](https://circleci.com/gh/simonw/fec-to-sqlite) [](https://github.com/simonw/fec-to-sqlite/blob/master/LICENSE) Create a SQLite database using FEC campaign contributions data. This tool builds on [fecfile](https://github.com/esonderegger/) by Evan Sonderegger. ## How to install $ pip install fec-to-sqlite ## Usage $ fec-to-sqlite filings filings.db 1146148 This fetches the filing with ID `1146148` and stores it in tables in a SQLite database called `filings.db`. It will create any tables it needs. You can pass more than one filing ID, separated by spaces. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-fec-to-sqlite" class="anchor" aria-hidden="true" href="#user-content-fec-to-sqlite"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>fec-to-sqlite</h1> <p><a href="https://pypi.org/project/fec-to-sqlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/93308ffe0f5302a01fe685a905be46fc42abddee239c695af80456aabcd72e94/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6665632d746f2d73716c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/fec-to-sqlite.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/simonw/fec-to-sqlite" rel="nofollow"><img src="https://camo.githubusercontent.com/46d17ba2dacfcf6081f8db0a40f9dfd848e9bb2af54c6652e8358a01a88ba2cd/68747470733a2f2f636972636c6563692e636f6d2f67682f73696d6f6e772f6665632d746f2d73716c6974652e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/simonw/fec-to-sqlite.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/fec-to-sqlite/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.svg" style="max-width:100%;"></a></p> <p>Create a SQLite database using FEC campaign contributio… | |||||||||
| 248999994 | MDEwOlJlcG9zaXRvcnkyNDg5OTk5OTQ= | datasette-show-errors | simonw/datasette-show-errors | 0 | simonw 9599 | https://github.com/simonw/datasette-show-errors | Datasette plugin for displaying error tracebacks | 0 | 2020-03-21T15:06:04Z | 2020-09-24T00:17:29Z | 2020-09-01T00:32:23Z | 7 | 1 | 1 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | Apache License 2.0 apache-2.0 | ["asgi", "datasette", "starlette", "datasette-plugin", "datasette-io"] | 0 | 1 | 1 | master | {"admin": false, "push": false, "pull": false} | 0 | 0 | # datasette-show-errors [](https://pypi.org/project/datasette-show-errors/) [](https://circleci.com/gh/simonw/datasette-show-errors) [](https://github.com/simonw/datasette-show-errors/blob/master/LICENSE) Datasette plugin for displaying error tracebacks. **This plugin does not work with current versions of Datasette.** See [issue #2](https://github.com/simonw/datasette-show-errors/issues/2). ## Installation pip install datasette-show-errors ## Usage Installing the plugin will cause any internal error to be displayed with a full traceback, rather than just a generic 500 page. Be careful not to use this in a context that might expose sensitive information. | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-show-errors" class="anchor" aria-hidden="true" href="#user-content-datasette-show-errors"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-show-errors</h1> <p><a href="https://pypi.org/project/datasette-show-errors/" rel="nofollow"><img src="https://camo.githubusercontent.com/b3e198ab4e1253d5eca382cb810057bf1be9b3a78db6f60f57c2a5a269d49304/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d73686f772d6572726f72732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-show-errors.svg" style="max-width:100%;"></a> <a href="https://circleci.com/gh/simonw/datasette-show-errors" rel="nofollow"><img src="https://camo.githubusercontent.com/183abdd282beee4022d9443bd5c050fa0a2d8fd024156414206fa188872a7a8e/68747470733a2f2f636972636c6563692e636f6d2f67682f73696d6f6e772f6461746173657474652d73686f772d6572726f72732e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src="https://circleci.com/gh/simonw/datasette-show-errors.svg?style=svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-show-errors/blob/master/LICENSE"><img src="https://camo.githubusercontent.com/1698104e976c681143eb0841f9675c6f802bb7aa832afc0c7a4e719b1f3cf955/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d417061636865253230322e302d626c75652e737667" alt="License" data-canonical-src="https://img.shields.io/badge/license-Apache%202.0-blue.… | |||||||||
| 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… | ||||||||||
| 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… | ||||||||||
| 327087207 | MDEwOlJlcG9zaXRvcnkzMjcwODcyMDc= | datasette-css-properties | simonw/datasette-css-properties | 0 | simonw 9599 | https://github.com/simonw/datasette-css-properties | Experimental Datasette output plugin using CSS properties | 0 | 2021-01-05T18:38:07Z | 2021-01-12T17:43:11Z | 2021-01-07T22:07:19Z | 10 | 12 | 12 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | ["datasette-plugin", "datasette-io"] | 0 | 1 | 12 | main | {"admin": false, "push": false, "pull": false} | 0 | 2 | # datasette-css-properties [](https://pypi.org/project/datasette-css-properties/) [](https://github.com/simonw/datasette-css-properties/releases) [](https://github.com/simonw/datasette-css-properties/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-css-properties/blob/main/LICENSE) Extremely experimental Datasette output plugin using CSS properties, inspired by [Custom Properties as State](https://css-tricks.com/custom-properties-as-state/) by Chris Coyier. More about this project: [APIs from CSS without JavaScript: the datasette-css-properties plugin](https://simonwillison.net/2021/Jan/7/css-apis-no-javascript/) ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-css-properties ## Usage Once installed, this plugin adds a `.css` output format to every query result. This will return the first row in the query as a valid CSS file, defining each column as a custom property: Example: https://latest-with-plugins.datasette.io/fixtures/roadside_attractions.css produces: ```css :root { --pk: '1'; --name: 'The Mystery Spot'; --address: '465 Mystery Spot Road, Santa Cruz, CA 95065'; --latitude: '37.0167'; --longitude: '-122.0024'; } ``` If you link this stylesheet to your page you can then do things like this; ```html <link rel="stylesheet" href="https://latest-with-plugins.datasette.io/fixtures/roadside_attractions.css"> <style> .attraction-name:after { content: var(--name); } </style> <p class="attraction-name">Attraction name: </p> ``` Values will be quoted as CSS strings by default. If you want to return a "raw" value without the quotes - for example to set a CSS property that is nume… | <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-datasette-css-properties" class="anchor" aria-hidden="true" href="#user-content-datasette-css-properties"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>datasette-css-properties</h1> <p><a href="https://pypi.org/project/datasette-css-properties/" rel="nofollow"><img src="https://camo.githubusercontent.com/73ef89bdb78bfff22274d72faf1843c5862cc6072d2df7743d43361fb6f5cace/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d6373732d70726f706572746965732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-css-properties.svg" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-css-properties/releases"><img src="https://camo.githubusercontent.com/a67e245842d1c8a894df0cbab28ce5643293cfbe70b75afedcea53403d0750b2/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d6373732d70726f706572746965733f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-css-properties?include_prereleases&label=changelog" style="max-width:100%;"></a> <a href="https://github.com/simonw/datasette-css-properties/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-css-properties/workflows/Test/badge.svg" alt="Tests" style="max-width:100%;"></a> <a href="https://github.com/simonw/… | ||||||||||
| 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]);