notebook
Jupyter Notebook - A web-based notebook environment for interactive computing
Decision gist · record as of 2026-08-14
Yes. Jupyter Notebook is a mature, actively maintained tool with no known vulnerabilities, low install friction, and permissive licensing. It is the de facto standard for interactive computing in Python and data science. Install it if you need an interactive notebook environment for exploration, education, or reproducible research.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Running remotely requires additional configuration as documented in the Jupyter Server documentation.
- Low install friction with a pure-Python wheel distribution.
License · maintenance · safety
permissive license (permissive) — BSD 3-Clause License (permissive) allows use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects provided you retain the license notice.
last release 2026-08-11 (3 days) · last repo commit 2026-08-11 · 13,299 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 60,608,419 downloads/mo, #502 on PyPI
Alternatives
Verify before relying
pip install notebook
jupyter notebook- Whether custom extensions written for Notebook v5 or Classic Notebook v6 work with v7 without modification (description notes incompatibility but scope unclear).
- Performance characteristics and resource requirements for typical interactive workloads.
What it is and what it does
Jupyter Notebook is a language-agnostic web application for interactive computing that evolved from IPython notebook after the 2015 Big Split. Version 7 represents a significant architectural shift, built on JupyterLab components for the frontend and Jupyter Server for the Python backend, replacing the monolithic codebase with a modular design. The package provides a browser-based interface where you write and execute code in cells, mix executable code with documentation and visualizations, and save your work as shareable notebooks.
The project maintains two major versions: Notebook v7 (current, feature-focused) and Classic Notebook v6 (maintenance and security fixes only). Users of the older v5 are advised to upgrade. The package depends on jupyter-server, jupyterlab, tornado, and related components to deliver its core functionality. It is widely used in data science, research, education, and exploratory development workflows.
Use it for
- Data exploration and analysis: write Python code, run it interactively, and visualize results in a single document.
- Educational content: create tutorials and assignments that mix executable code, explanations, and output.
- Research documentation: record methodology, code, and findings together in a reproducible format.
- Prototyping and experimentation: iterate quickly on ideas without the overhead of a full IDE.
- Remote computing: run notebooks on a server and access them via a web browser from any machine.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Jupyter Notebook is a mature, actively maintained tool with no known vulnerabilities, low install friction, and permissive licensing. It is the de facto standard for interactive computing in Python and data science. Install it if you need an interactive notebook environment for exploration, education, or reproducible research.
Install
notebook on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. The package is actively maintained with a release 3 days old, backed by a well-established project with 13299 repository stars. Supports current Python versions (3.10 through 3.14).
Requires Python 3.10 or later. Running remotely requires additional configuration as documented in the Jupyter Server documentation.
License in practice
BSD 3-Clause License (permissive) allows use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects provided you retain the license notice.
Quickstart
pip install notebook
jupyter notebookVerify before relying
- Whether custom extensions written for Notebook v5 or Classic Notebook v6 work with v7 without modification (description notes incompatibility but scope unclear).
- Performance characteristics and resource requirements for typical interactive workloads.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesjupyter-builderjupyter-serverjupyterlab-serverjupyterlabnotebook-shimtornado |
| Maintenance | Actively maintained 3 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 60,608,419 / month, #502 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Framework :: JupyterIntended Audience :: DevelopersIntended Audience :: Science/ResearchIntended Audience :: System AdministratorsLicense :: OSI Approved :: BSD LicenseProgramming Language :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Typing :: Typed |
Evidence: notebook-7.6.2-py3-none-any.whl
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See also jupyter · jupyterlab · jupyter-server · nbclassic · FMPy · ipynbname · jupyterlite-core · jupyterhub · nbclient · ipykernel