Project Jupyter | Home
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
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Project Jupyter provides free software, open standards, and services for interactive computing across dozens of programming languages.
🚀 Overview
Project Jupyter is a non-profit, open-source project born out of the IPython project in 2014 by Fernando Pérez and others. It evolved to support interactive data science and scientific computing beyond Python, promoting open standards for reproducible computational documents.
It solves key problems in computing like the lack of integrated environments for live code execution, visualizations, equations, and narrative text. Traditional scripts are hard to share reproducibly; Jupyter notebooks make computations interactive, executable, and shareable, integrating tools like big data frameworks (Spark) and ML libraries (TensorFlow, scikit-learn).
Built for data scientists, researchers, educators, students, journalists, and teams in companies/research labs who need flexible workflows for exploratory analysis, teaching, and collaboration.
The project was created to advance interactive computing universally, fostering a diverse community through open governance and development on GitHub.
✨ Key Features
- Jupyter Notebook: Web-based platform combining live code, equations, narrative, visualizations in shareable documents.
- JupyterLab: Feature-rich IDE with tabs, extensions, console, customizable layouts for advanced workflows.
- Multi-language support: 40+ kernels (Python, R, Julia, Scala) with rich outputs (HTML, images, LaTeX, videos).
- JupyterHub: Multi-user Hub for classrooms/labs, pluggable auth, scales to thousands via Docker/Kubernetes.
- Sharing & execution: nbviewer, Binder (mybinder.org) for instant online runs; Voilà for dashboard apps.
- Optional: Extensions ecosystem, real-time collaboration experiments.
🛠 Tech Stack
- Frontend: TypeScript, React, Lumino (formerly PhosphorJS), CodeMirror
- Backend: Python (Jupyter Server), Tornado
- Database: None (file-based, JSON notebook format)
- Auth: Pluggable (OAuth, LDAP, custom via JupyterHub)
- Hosting: Self-hosted, Docker Stacks, Kubernetes, Cloud
👥 Who Is This For?
This project is useful for:
- Developers who want to prototype interactively with code + viz + text
- Teams looking for multi-user reproducible environments
- Indie makers building educational content or dashboards
📸 Screenshots / Demo
- Live demo: https://jupyter.org/try
- GitHub: https://github.com/jupyter
🔥 Project Status
- 🟢 Actively building
Last updated: 2026-03-24
❓ FAQ
Is this project free?
Yes / Open Source (modified BSD license) (Entirely free, community-driven, donations via LF Charities.)
Is the source code available?
Yes — link to repository https://github.com/jupyter (134+ repos: notebook, lab, hub, etc.)
Can I contribute?
Join open development on GitHub: fork repos, file issues/PRs, follow Jupyter Code of Conduct. Participate in Steering Councils, working groups; see governance docs.
📬 Contact & Links
- Website: https://jupyter.org
- GitHub: https://github.com/jupyter
- Twitter/X: https://x.com/ProjectJupyter
- Email: Community forum at https://discourse.jupyter.org
Built with ❤️ and kept warm on WarmIndex.
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