JupyterLite

JupyterLite is a JupyterLab distribution that runs entirely in the browser built from the ground-up using JupyterLab components and extensions.

⚡ Status ⚡

Although JupyterLite is currently being developed by core Jupyter developers, the project is still unofficial.

Not all the usual features available in JupyterLab and the Classic Notebook will work with JupyterLite, but many already do!

Don't hesitate to check out the documentation for more information and project updates.

✨ Try it in your browser ✨

JupyterLite works with both JupyterLab and RetroLab.

Try it with JupyterLab!	Try it with RetroLab!

🏗️ Build your own JupyterLite 🏗️

You can build your own JupyterLite website in a couple of minutes, with custom extensions and packages.

See the documentation for more details.

Browser-based Interactive Computing

JupyterLite is all about accessible browser-based interactive computing:

Python kernel backed by Pyodide running in a Web Worker
- Initial support for interactive visualization libraries such as altair, bqplot, ipywidgets, matplotlib, and plotly
JavaScript and P5.js kernels running in an IFrame
View hosted example Notebooks and other files, then edit, save, and download from the browser's IndexDB (or localStorage)
Support for saving settings for JupyterLab/Lite core and federated extensions
Basic session and kernel management to have multiple kernels running at the same time
Support for Code Consoles

Ease of Deployment

Served via well-cacheable, static HTTP(S), locally or on most static web hosts
Embeddable within larger applications
Requires no dedicated application server much less a container orchestrator
Fine-grained configurability of page settings, including reuse of federated extensions

Showcase

Jupyter Interactive Widgets

JupyterLab Mimerender Extensions

Matplotlib Figures

Altair

Plotly

Development install

See the contributing guide for a development installation.

JupyterLite is a reboot of several attempts at making a full static Jupyter distribution that runs in the browser, without having to start the Python Jupyter Server on the host machine.

The goal is to provide a lightweight computing environment accessible in a matter of seconds with a single click, in a web browser and without having to install anything.

This project is a collection of packages that can be remixed together in variety of ways to create new applications and distributions. Most of the packages in this repo focus on providing server-like components that run in the browser (to manage kernels, files and settings), so existing JupyterLab extensions and plugins can be reused out of the box.

joyceerhl/jupyterlite