jupyter-contrib-core
Common utilities for jupyter-contrib projects.
Decision gist · record as of 2026-08-14
Yes, if you are developing jupyter-contrib extensions or need version-agnostic nbextension APIs. No, if you are an end user—this is a library for extension developers. Conditional: verify compatibility with your Jupyter notebook version before installing, as the last release predates recent notebook versions.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a compatible Jupyter notebook installation; version compatibility issues may arise depending on your notebook version.
- High install friction with no runtime dependencies.
- Last release was 2022-11-15, though the repository remains active with recent commits.
License · maintenance · safety
BSD 3-clause (permissive) — BSD 3-clause license is permissive, allowing commercial and private use with minimal restrictions—suitable for most projects.
last release 2022-11-15 (1368 days) · last repo commit 2026-05-10 · 5 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 495,496 downloads/mo, #6,340 on PyPI
Alternatives
Verify before relying
pip install jupyter-contrib-core
from jupyter_contrib_core import nbextensions
from jupyter_contrib_core.testing_utils import jupyter_env- Whether the package works with current Jupyter notebook versions given the last release was 2022-11-15
- Python version support is unspecified in the fact sheet
- Whether high install friction is due to missing dependencies or build-time compilation requirements
What it is and what it does
jupyter-contrib-core is a shared library for the jupyter-contrib ecosystem, providing compatibility utilities and common components used by multiple Jupyter notebook extensions. It bridges API differences across Jupyter notebook versions (particularly 4.0, 4.1, and 4.2), offers command-line application scaffolding, and includes testing utilities for extension developers.
The package is primarily a dependency for other jupyter-contrib projects rather than a direct end-user tool. It has no runtime dependencies and is designed to be lightweight, but carries high install friction. With no releases since 2022-11-15 and a repository showing recent activity, it may face compatibility issues with newer Jupyter versions.
Use it for
- Developing Jupyter notebook extensions that need to support multiple notebook versions
- Building jupyter-contrib ecosystem projects that share common utilities and CLI scaffolding
- Writing tests for Jupyter extensions using the provided testing utilities and environment helpers
- Accessing the nbextension API in a version-agnostic way across notebook 4.0, 4.1, and 4.2
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are developing jupyter-contrib extensions or need version-agnostic nbextension APIs.
No, if you are an end user—this is a library for extension developers. Conditional: verify compatibility with your Jupyter notebook version before installing, as the last release predates recent notebook versions.
Install
jupyter-contrib-core on PyPI
Before you install
High install friction with no runtime dependencies. Last release was 2022-11-15, though the repository remains active with recent commits. Installation may require resolving Jupyter notebook version conflicts.
Requires a compatible Jupyter notebook installation; version compatibility issues may arise depending on your notebook version.
License in practice
BSD 3-clause license is permissive, allowing commercial and private use with minimal restrictions—suitable for most projects.
Quickstart
pip install jupyter-contrib-core
from jupyter_contrib_core import nbextensions
from jupyter_contrib_core.testing_utils import jupyter_env
Verify before relying
- Whether the package works with current Jupyter notebook versions given the last release was 2022-11-15
- Python version support is unspecified in the fact sheet
- Whether high install friction is due to missing dependencies or build-time compilation requirements
Package facts
| License | BSD 3-clause permissive |
| Python support | Not specified |
| Install friction | High. Source build required |
| Runtime dependencies | None |
| Maintenance | Actively maintained 1,368 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 495,496 / month, #6,340 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: End Users/DesktopIntended Audience :: Science/ResearchLicense :: OSI Approved :: BSD LicenseNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: JavaScriptProgramming Language :: PythonProgramming Language :: Python :: 3Topic :: Utilities |
Evidence: jupyter_contrib_core-0.4.2.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 contrib utilities”
- jupyter-contrib-coreProvides common utilities, API compatibility shims, and test helpers…
- azureml-contrib-servicesProvides utilities for handling raw HTTP requests in Azure ML…
- opencv-contrib-pythonopencv-contrib-python provides Python bindings to OpenCV's full…
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-nbextensions · notebook-shim · jupyter_highlight_selected_word · ipyvue · widgetsnbextension · ipympl · nbclassic · jupyter-core · ipytree