ibdafna / jupyterlite

Wasm powered Jupyter running in the browser 💡

JupyterLite

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

✨ Try it in your browser ✨

JupyterLite works with both JupyterLab and RetroLab.

Try it with JupyterLab!	Try it with RetroLab!

Features

For more details, see the JupyterLite documentation.

Browser-based Interactive Computing

• Python kernel backed by Pyodide running in a Web Worker
• JavaScript kernel running in an IFrame
• Combine Offline Notebook storage in browser localStorage or IndexDB with example files
• 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
• Initial support for visualization libraries such as matplotlib and altair

Ease of Deployment

• Served via well-cacheable, static HTTP(S), works on most static web hosts, and locally
• 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

Status

⚠️ Currently in active development ⚠️

Development install

See the contributing guide for a development installation.

Related

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.

See also:

• p5-notebook: A minimal Jupyter Notebook UI for p5.js kernels running in the browser
• jyve: Jupyter Kernels, right inside JupyterLab
• Starboard Notebook: In-browser literal notebooks
• Basthon: A Jupyter notebook implementation using Pyodide