Skip to main content

No project description provided

Project description

JupyterLite

ci-badge lite-badge binder-badge docs-badge

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 Jupyter Notebook.

Try it with JupyterLab! Try it with Jupyter Notebook!
lab-screenshot notebook-screenshot

🏗️ 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 kernel running in a Web Worker
  • 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

widgets

JupyterLab Mimerender Extensions

image

Matplotlib Figures

image

Altair

altair

Plotly

plotly

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

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jupyterlite-0.2.0b1.tar.gz (5.8 kB view details)

Uploaded Source

Built Distribution

jupyterlite-0.2.0b1-py3-none-any.whl (6.5 kB view details)

Uploaded Python 3

File details

Details for the file jupyterlite-0.2.0b1.tar.gz.

File metadata

  • Download URL: jupyterlite-0.2.0b1.tar.gz
  • Upload date:
  • Size: 5.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for jupyterlite-0.2.0b1.tar.gz
Algorithm Hash digest
SHA256 7e5ccc70683500fcbbbd17e6a77f58bc252fbcfa8e964132392e8bd7578f85aa
MD5 e6dfaffec16edc2c9fbb2c158a32ad6c
BLAKE2b-256 2805d62e93751efd7e1f142d59801d1d62e44ae6a2a3ad748f7a2367b8f383f3

See more details on using hashes here.

Provenance

File details

Details for the file jupyterlite-0.2.0b1-py3-none-any.whl.

File metadata

File hashes

Hashes for jupyterlite-0.2.0b1-py3-none-any.whl
Algorithm Hash digest
SHA256 2c6785ce7a56c51eb3afb0d2230b2945ebfd1541b657086dc712fd3d7aab51a8
MD5 f4f8f1202d29615016c71ba37be17bf3
BLAKE2b-256 9a56b4dff02498443f9a60319b29600164c8b57e97ad7f27f924f46307526790

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page