JupyterLab computational environment.

Machine Learning Toolkit for Kubernetes

📘 The interactive computing suite for you! ✨

Build data pipelines, the easy way 🛠️

Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.

Wasm powered Jupyter running in the browser 💡

Plotting library for IPython/Jupyter notebooks

JupyterLab desktop application, based on Electron.

Tools for diffing and merging of Jupyter notebooks.

This extension is now maintained in the Microsoft fork.

3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL

Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol

A Jupyter - Leaflet.js bridge

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

VS Code Jupyter extension

CoCalc: Collaborative Calculation in the Cloud

Run JavaScript and TypeScript in node.js within VS Code notebooks with excellent support for debugging, tensorflowjs visulizations, plotly, danfojs, etc

Table of Contents extension for JupyterLab

Interactive JavaScript and TypeScript programming with Jupyter

Lumino is a library for building interactive web applications