Interactive Data Visualization in the browser, from Python
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Updated
Nov 28, 2025 - TypeScript
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.
Interactive Data Visualization in the browser, from Python
📘 The interactive computing suite for you! ✨
Wasm powered Jupyter running in the browser 💡
Dashboards and notebooks in a single place. Create powerful and flexible dashboards using code, or build beautiful Notion-like notebooks and share them with your team.
Create beautiful, publication-quality books and documents from computational content.
JupyterLab desktop application, based on Electron.
Build data pipelines, the easy way 🛠️
Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.
Plotting library for IPython/Jupyter notebooks
Tools for diffing and merging of Jupyter notebooks.
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/
High Performace IDE for Jupyter Notebooks
This extension is now maintained in the Microsoft fork.
Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL
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.
A Jupyter - Leaflet.js bridge
VS Code Jupyter extension
CoCalc: Collaborative Calculation in the Cloud
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 12 days ago