jupyter-contrib-nbextensions
A collection of Jupyter nbextensions.
Decision gist · record as of 2026-08-14
Yes, with conditions. The package is permissively licensed and has no runtime dependencies, making installation low-risk. However, dormant maintenance (last release 2022-11-15) and the community-maintained status mean you should verify that the specific extensions you need work with your Jupyter version before relying on them in production. Best suited for local development workflows where you can tolerate occasional incompatibilities.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Jupyter notebook to be installed separately; installation involves both pip and a post-install command to register extensions in the browser.
- High install friction and dormant maintenance status (last release 2022-11-15, 1368 days ago) suggest caution.
- The package has no runtime dependencies, but the installation process itself is complex.
License · maintenance · safety
BSD (permissive) — BSD license (permissive) places no restrictions on use, modification, or redistribution for commercial or private projects.
last release 2022-11-15 (1368 days) · last repo commit 2024-07-04 · 5,278 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 510,399 downloads/mo, #6,267 on PyPI
Alternatives
Verify before relying
pip install jupyter-contrib-nbextensions
jupyter contrib nbextension install --user- Whether extensions remain compatible with current Jupyter notebook versions post-2022
- Which specific extensions are production-ready versus experimental or abandoned
- Whether the package works with JupyterLab (the modern Jupyter interface) or only classic Notebook
What it is and what it does
jupyter-contrib-nbextensions is a community-maintained collection of add-ons for Jupyter notebooks. The extensions are written in JavaScript and run directly in your browser, adding UI enhancements and productivity features to the classic Jupyter notebook interface. The package itself is a Python installer that deploys these browser-side extensions to your Jupyter environment.
The project is independently maintained by community contributors and is not part of the official Jupyter project. Extension maturity varies—some are well-tested and stable, while others remain experimental. With no runtime dependencies and a permissive BSD license, the package is straightforward to install, but its dormant maintenance status (last release over a year ago) means extensions may not work reliably with recent Jupyter versions or may lack support for newer notebook features.
Use it for
- Add keyboard shortcuts, code folding, or syntax highlighting enhancements to speed up notebook editing workflows.
- Enable notebook-wide search, variable inspection, or execution timing tools for exploratory data analysis.
- Install UI polish extensions like table of contents, collapsible headings, or code cell numbering.
- Customize the notebook environment with theme or layout extensions for better readability.
- Extend notebook functionality with tools for exporting, version control integration, or collaboration features.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, with conditions.
The package is permissively licensed and has no runtime dependencies, making installation low-risk. However, dormant maintenance (last release 2022-11-15) and the community-maintained status mean you should verify that the specific extensions you need work with your Jupyter version before relying on them in production. Best suited for local development workflows where you can tolerate occasional incompatibilities.
Install
jupyter-contrib-nbextensions on PyPI
Before you install
High install friction and dormant maintenance status (last release 2022-11-15, 1368 days ago) suggest caution. The package has no runtime dependencies, but the installation process itself is complex. Repository remains active on GitHub with 5278 stars, though development appears stalled.
Requires Jupyter notebook to be installed separately; installation involves both pip and a post-install command to register extensions in the browser.
License in practice
BSD license (permissive) places no restrictions on use, modification, or redistribution for commercial or private projects.
Quickstart
pip install jupyter-contrib-nbextensions
jupyter contrib nbextension install --userVerify before relying
- Whether extensions remain compatible with current Jupyter notebook versions post-2022
- Which specific extensions are production-ready versus experimental or abandoned
- Whether the package works with JupyterLab (the modern Jupyter interface) or only classic Notebook
Package facts
| License | BSD permissive |
| Python support | Not specified |
| Install friction | High. Source build required |
| Runtime dependencies | None |
| Maintenance | Dormant 1,368 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 510,399 / month, #6,267 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 1 - PlanningIntended Audience :: End Users/DesktopIntended Audience :: Science/ResearchLicense :: OSI Approved :: BSD LicenseNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: JavaScriptProgramming Language :: PythonTopic :: Utilities |
Evidence: jupyter_contrib_nbextensions-0.7.0.tar.gz
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “jupyter notebook extensions”
- jupyter-contrib-nbextensionsAdds a collection of browser-based extensions to Jupyter notebooks,…
- jupyter-nbextensions-configuratorProvides a web-based graphical interface for enabling, disabling, and…
- nbclassicProvides the classic Jupyter Notebook interface as a Jupyter Server…
Give your agent the search over MCP, or paste the wish link into any chat.
More Utilities packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Detects and normalizes text encoding from unknown or ambiguous sources, supporting all IANA character sets that Python's core library provides codecs for, with the ability to register custom codecs.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
Pluggy provides a plugin system that lets you define hook specifications and register implementations to be called in sequence, enabling extensible Python applications without tight coupling.
Install it if you're building an extensible application or framework.
Pygments is a syntax highlighter that colorizes source code and text in over 500 languages and formats, outputting to HTML, LaTeX, RTF, SVG, images, or ANSI terminal sequences.
Install it if you need to display or transform source code.
Six provides utility functions to write Python code that runs on both Python 2.7 and Python 3.3+, smoothing over language differences between the two versions.
See also jupyter-nbextensions-configurator · jupyter-contrib-core · widgetsnbextension · jupyter_highlight_selected_word · notebook · jupyterlite-core · nbconvert · nbsphinx · nbformat · ipynbname