The Jupyter Notebook, previously known as the IPython Notebook, is a language-agnostic HTML notebook application for Project Jupyter. Jupyter notebooks are documents that allow for creating and sharing live code, equations, visualizations, and narrative text together. People use them for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
📘 The interactive computing suite for you! ✨
Visualizer for pandas data structures
JupyterLab desktop application, based on Electron.
Tools for diffing and merging of Jupyter notebooks.
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
CoCalc: Collaborative Calculation in the Cloud
Interactive JavaScript and TypeScript programming with Jupyter
Visualize Python code execution (line-by-line) in Jupyter Notebook cells.
Jupyter for Visual Studio Code
Conda environment and package management extension from within Jupyter
A filesystem-like contents manager for multiple backends in Jupyter
Free, ultrafast code autocomplete for Chrome
A demo for the *programatic* reading and writing of user code in Jupyter notebooks 4 code analysis fun
In situ interactive widgets for responsible AI 🌱
A text embedding viewer for the Jupyter environment
React with TypeScript Starter App for Comet
Package Manager is a JupyterLab extension that simplifies managing Python packages directly within your notebooks
Colo(u)r picker for JupyterLab 4+ and Jupyter Notebook 7+
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 2 months ago