Skip to main content

jupyterlite-ai

Github Actions Status Documentation Status lite-badge

AI code completions and chat for JupyterLab, Notebook 7 and JupyterLite.

a screencast showing the Jupyterlite AI extension in JupyterLite

Requirements

  • JupyterLab >= 4.4.0 or Notebook >= 7.4.0

Try it in your browser

You can try the extension in your browser using JupyterLite:

lite-badge

Install

To install the extension, execute:

pip install jupyterlite-ai

To install requirements (JupyterLab, JupyterLite and Notebook):

pip install jupyterlite-ai[jupyter]

Documentation

For detailed usage instructions, including how to configure AI providers, see the documentation.

Uninstall

To remove the extension, execute:

pip uninstall jupyterlite-ai

Contributing

See CONTRIBUTING

Metadata

Release files for jupyterlite-ai 0.20.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for jupyterlite-ai 0.20.1
File Size Uploaded
jupyterlite_ai-0.20.1.tar.gz 213.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for jupyterlite-ai 0.20.1
File Interpreter ABI Platform
jupyterlite_ai-0.20.1-py3-none-any.whl Python 3 none any Details

Total release size: 655.2 kB

Release files / jupyterlite_ai-0.20.1.tar.gz

Download URL jupyterlite_ai-0.20.1.tar.gz
Size 213.2 kB
Tags Source
SHA-256 checksum
How to use checksums
9cfa96a31072f155aaa368f7738c718d93b05aa990bbda66567db07c2996a7e1
BLAKE2b-256 checksum
How to use checksums
637f1d0c620d414eb6cda2ead6c09579c364148bcd3c3bce39712ff4059e297b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.12.14

Release files / jupyterlite_ai-0.20.1-py3-none-any.whl

Download URL jupyterlite_ai-0.20.1-py3-none-any.whl
Size 441.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7515feedc4dc75b18122b69b7456e102426303dc4a1cb0d248e8f60457e2d2fb
BLAKE2b-256 checksum
How to use checksums
87f7e18c90f1ec48417e6d1007d1c80caf8388fe663378f682d91f7508b68a8e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.12.14
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page