repos: 423589294
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| 423589294 | R_kgDOGT91rg | datasette-jupyterlite | simonw/datasette-jupyterlite | 0 | 9599 | https://github.com/simonw/datasette-jupyterlite | JupyterLite as a Datasette plugin | 0 | 2021-11-01T19:22:51Z | 2021-11-05T05:12:17Z | 2021-11-05T05:12:33Z | 5 | 3 | 3 | Python | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | [] | 0 | 1 | 3 | main | {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false} | 0 | 1 | # datasette-jupyterlite [](https://pypi.org/project/datasette-jupyterlite/) [](https://github.com/simonw/datasette-jupyterlite/releases) [](https://github.com/simonw/datasette-jupyterlite/actions?query=workflow%3ATest) [](https://github.com/simonw/datasette-jupyterlite/blob/main/LICENSE) [JupyterLite](https://jupyterlite.readthedocs.io/en/latest/) as a Datasette plugin ## Installation Install this plugin in the same environment as Datasette. $ datasette install datasette-jupyterlite ## Demo You can try out a demo of the plugin here: https://latest-with-plugins.datasette.io/jupyterlite/ Run this example code in a Pyolite notebook to pull all of the data from the [github/stars](https://latest-with-plugins.datasette.io/github/stars) table into a Pandas DataFrame: ```python import pandas, pyodide df = pandas.read_csv(pyodide.open_url( "https://latest-with-plugins.datasette.io/github/stars.csv?_labels=on&_stream=on&_size=max") ) ``` ## Usage Once installed, visit `/jupyterlite/` to access JupyterLite served from your Datasette instance. ## Development To set up this plugin locally, first checkout the code. Then create a new virtual environment: cd datasette-jupyterlite python3 -mvenv venv source venv/bin/activate Or if you are using `pipenv`: pipenv shell Now install the dependencies and test dependencies: 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-jupyterlite" class="anchor" aria-hidden="true" href="#user-content-datasette-jupyterlite"><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-jupyterlite</h1> <p><a href="https://pypi.org/project/datasette-jupyterlite/" rel="nofollow"><img src="https://camo.githubusercontent.com/583483a5498ff95bfe0084890b0bbad55390e616be11f9592292911c6d6bf74f/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f6461746173657474652d6a7570797465726c6974652e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/datasette-jupyterlite.svg" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-jupyterlite/releases"><img src="https://camo.githubusercontent.com/8bd8e900ccedb77c748e60e5b1dc3a7cace91fb07a1afae015e9de1ca60db907/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f73696d6f6e772f6461746173657474652d6a7570797465726c6974653f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/simonw/datasette-jupyterlite?include_prereleases&label=changelog" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-jupyterlite/actions?query=workflow%3ATest"><img src="https://github.com/simonw/datasette-jupyterlite/workflows/Test/badge.svg" alt="Tests" style="max-width: 100%;"></a> <a href="https://github.com/simonw/datasette-jupyterlite/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%;"></a></p> <p><a href="https://jupyterlite.readthedocs.io/en/latest/" rel="nofollow">JupyterLite</a> as a Datasette plugin</p> <h2><a id="user-content-installation" class="anchor" aria-hidden="true" href="#user-content-installation"><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>Installation</h2> <p>Install this plugin in the same environment as Datasette.</p> <div class="snippet-clipboard-content position-relative overflow-auto" data-snippet-clipboard-copy-content="$ datasette install datasette-jupyterlite "><pre><code>$ datasette install datasette-jupyterlite </code></pre></div> <h2><a id="user-content-demo" class="anchor" aria-hidden="true" href="#user-content-demo"><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>Demo</h2> <p>You can try out a demo of the plugin here: <a href="https://latest-with-plugins.datasette.io/jupyterlite/" rel="nofollow">https://latest-with-plugins.datasette.io/jupyterlite/</a></p> <p>Run this example code in a Pyolite notebook to pull all of the data from the <a href="https://latest-with-plugins.datasette.io/github/stars" rel="nofollow">github/stars</a> table into a Pandas DataFrame:</p> <div class="highlight highlight-source-python position-relative overflow-auto" data-snippet-clipboard-copy-content="import pandas, pyodide df = pandas.read_csv(pyodide.open_url( "https://latest-with-plugins.datasette.io/github/stars.csv?_labels=on&_stream=on&_size=max") ) "><pre><span class="pl-k">import</span> <span class="pl-s1">pandas</span>, <span class="pl-s1">pyodide</span> <span class="pl-s1">df</span> <span class="pl-c1">=</span> <span class="pl-s1">pandas</span>.<span class="pl-en">read_csv</span>(<span class="pl-s1">pyodide</span>.<span class="pl-en">open_url</span>( <span class="pl-s">"https://latest-with-plugins.datasette.io/github/stars.csv?_labels=on&_stream=on&_size=max"</span>) )</pre></div> <h2><a id="user-content-usage" class="anchor" aria-hidden="true" href="#user-content-usage"><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>Usage</h2> <p>Once installed, visit <code>/jupyterlite/</code> to access JupyterLite served from your Datasette instance.</p> <h2><a id="user-content-development" class="anchor" aria-hidden="true" href="#user-content-development"><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>Development</h2> <p>To set up this plugin locally, first checkout the code. Then create a new virtual environment:</p> <div class="snippet-clipboard-content position-relative overflow-auto" data-snippet-clipboard-copy-content="cd datasette-jupyterlite python3 -mvenv venv source venv/bin/activate "><pre><code>cd datasette-jupyterlite python3 -mvenv venv source venv/bin/activate </code></pre></div> <p>Or if you are using <code>pipenv</code>:</p> <div class="snippet-clipboard-content position-relative overflow-auto" data-snippet-clipboard-copy-content="pipenv shell "><pre><code>pipenv shell </code></pre></div> <p>Now install the dependencies and test dependencies:</p> <div class="snippet-clipboard-content position-relative overflow-auto" data-snippet-clipboard-copy-content="pip install -e '.[test]' "><pre><code>pip install -e '.[test]' </code></pre></div> <p>To run the tests:</p> <div class="snippet-clipboard-content position-relative overflow-auto" data-snippet-clipboard-copy-content="pytest "><pre><code>pytest </code></pre></div> </article></div> | 1 | public | 0 |
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