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jupyterlite/sphinx-demo: A Sphinx demo website using jupyterlite-sphinx deployed to GitHub Pages 🚀

This repository showcases JupyterLite deployed as a static site on GitHub Pages as a part of a Sphinx site using the jupyterlite-sphinx extension for demo purposes. It is meant to be used as a reference for documentation website authors who want to add interactive documentation elements to their Sphinx sites.

For similar demos that deploy JupyterLite as a standalone site instead, please check out the following:

• the JupyterLite demo for a deployment that uses the Pyodide kernel (jupyterlite-pyodide-kernel).
• the JupyterLite Xeus demo for a deployment that uses the Xeus kernel (via jupyterlite-xeus and xeus-python).

This repository is divided into two sections:

• pyodide-kernel-example/: this folder contains a JupyterLite deployment with a Sphinx site using the Pyodide kernel, which is a Python kernel that runs in the browser using WebAssembly and uses the Pyodide distribution.
• xeus-kernel-example/: this folder contains a JupyterLite deployment with a Sphinx site using the Xeus kernel, which uses the emscripten-forge channel.

Both examples use the PyData Sphinx Theme.

Please check out the README files under each folder to understand the file structure and the use of configuration files in the JupyterLite deployment.

Here is an end-to-end guide to set up your own deployment to use JupyterLite and jupyterlite-sphinx:

1. Install jupyterlite-sphinx and a kernel of your choice in your Python environment that is used to build the Sphinx documentation website. For example, you may install the Pyodide kernel with pip install jupyterlite-sphinx jupyterlite-pyodide-kernel. We recommend pinning the version of jupyterlite-pyodide-kernel as it controls the version of Pyodide that is used in the deployment.
2. Configure jupyterlite-sphinx in your Sphinx documentation website in its conf.py file.
3. Then, build the Sphinx documentation website with make html or sphinx-build -b html . _build/html (or the equivalent command for your Sphinx setup).
4. To configure the look and feel of the buttons added by jupyterlite-sphinx, you may use a CSS file to style it. A sample has been provided in the /_static/ folder for each example.
5. Next, to configure the JupyterLite deployment further, you may use the jupyter_lite_config.json, jupyter-lite.json, and overrides.json files, and sample files have been provided in the example folders.
6. Finally, you may deploy the JupyterLite deployment to a static site hosting service such as GitHub Pages or Read the Docs alongside your Sphinx documentation website, as the JupyterLite deployment is stored within a lite/ subfolder of the Sphinx build output.

Here is a diagram of the workflow:

flowchart TD
    A[Start] --> B["Install jupyterlite-sphinx"]
    B -->|"`pip install jupyterlite-sphinx`"| C{Choose a distribution to use and install a kernel}
    C -->|The Pyodide distribution| D["`pip install jupyterlite-pyodide-kernel`"]
    C -->|The emscripten-forge distribution| E["`pip install jupyterlite-xeus`"]
    D --> F["Configure Sphinx site in conf.py"]
    E --> G["Configure WASM environment using Xeus environment file"]
    G --> F["Configure Sphinx site in conf.py"]
    F --> I["(Optional) configure additional JupyterLite settings in jupyter_lite_config.json, jupyter-lite.json, and overrides.json"]
    I --> J["Deploy site"]

For information on how to use and configure JupyterLite and jupyterlite-sphinx further, please refer to the JupyterLite documentation and the jupyterlite-sphinx documentation respectively.

• Getting started: https://jupyterlite.readthedocs.io/en/stable/quickstart/index.html
• How-to guides: https://jupyterlite.readthedocs.io/en/stable/howto/index.html
• Reference: https://jupyterlite.readthedocs.io/en/stable/reference/index.html

For information on how to select and configure a kernel, please refer to the "Adding kernels" section in the JupyterLite documentation.

• NumPy: many of the API examples in the "latest" documentation are interactive, and use the Pyodide kernel.
• SciPy: notebooks under the scipy.stats module are interactive, and use the Pyodide kernel.
• scikit-learn: uses the Sphinx-Gallery extension to generate a gallery of examples, and uses the extension's JupyterLite integration to make them interactive, which relies on jupyterlite-sphinx internally. While this is also an option that users may explore, it is not showcased within this demo.

This project is licensed under the BSD 3-Clause License. See the LICENSE file for details.

Please refer to the respective licenses for individual kernels, themes, and other dependencies.

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