jupyterlab-widgets
Jupyter interactive widgets for JupyterLab
Decision gist · record as of 2026-08-14
Yes. This is a foundational extension for anyone using ipywidgets in JupyterLab 3.x or 4.x. It has zero runtime dependencies, low install friction, active maintenance, no known vulnerabilities, and a permissive license. Install it if you use interactive widgets in JupyterLab.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires JupyterLab 3.x or 4.x to be installed; earlier versions need different extension versions as documented in the package description.
- Low install friction with no runtime dependencies.
- The package is actively maintained with recent commits and carries a permissive BSD license, making it straightforward to add to JupyterLab environments.
License · maintenance · safety
permissive license (permissive) — BSD license (permissive) with bundled JavaScript dependencies under MIT, ISC, and BSD licenses. All are permissive, so commercial and proprietary use is allowed without restriction.
last release 2025-11-01 (286 days) · last repo commit 2026-08-09 · 3,326 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 44,077,480 downloads/mo, #635 on PyPI
Alternatives
Verify before relying
pip install jupyterlab_widgets
# Then in JupyterLab, widgets created via ipywidgets will render automatically- Whether this package works with all widget types from ipywidgets or only a subset.
- Performance characteristics when rendering many widgets simultaneously.
- Specific compatibility matrix between minor versions of JupyterLab 3 and 4 and this extension.
What it is and what it does
jupyterlab_widgets is a JupyterLab extension that bridges the gap between Jupyter/IPython widgets (created with ipywidgets) and the JupyterLab interface. When installed, it enables interactive widgets—sliders, buttons, text inputs, plots, and other controls—to display and function properly within JupyterLab notebooks and documents. The extension handles the rendering of widget UI elements in the browser and manages communication between the Python kernel and the frontend.
The package is designed as a drop-in installation for JupyterLab 3.x and 4.x users. It has no Python runtime dependencies, making it lightweight to add to existing environments. The extension is actively maintained, supports modern Python versions (3.9 through 3.13), and carries a permissive BSD license that allows unrestricted use.
Use it for
- Display interactive sliders, buttons, and text inputs in JupyterLab notebooks for parameter exploration.
- Render data visualizations and plots created with ipywidgets in JupyterLab environments.
- Build interactive dashboards and data exploration tools within JupyterLab for research and analysis.
- Enable collaborative notebook workflows where widgets provide real-time interactivity.
- Create educational materials with interactive controls for students using JupyterLab.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
This is a foundational extension for anyone using ipywidgets in JupyterLab 3.x or 4.x. It has zero runtime dependencies, low install friction, active maintenance, no known vulnerabilities, and a permissive license. Install it if you use interactive widgets in JupyterLab.
Install
jupyterlab-widgets on PyPI
Before you install
Low install friction with no runtime dependencies. The package is actively maintained with recent commits and carries a permissive BSD license, making it straightforward to add to JupyterLab environments.
Requires JupyterLab 3.x or 4.x to be installed; earlier versions need different extension versions as documented in the package description.
License in practice
BSD license (permissive) with bundled JavaScript dependencies under MIT, ISC, and BSD licenses. All are permissive, so commercial and proprietary use is allowed without restriction.
Quickstart
pip install jupyterlab_widgets
# Then in JupyterLab, widgets created via ipywidgets will render automaticallyVerify before relying
- Whether this package works with all widget types from ipywidgets or only a subset.
- Performance characteristics when rendering many widgets simultaneously.
- Specific compatibility matrix between minor versions of JupyterLab 3 and 4 and this extension.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 286 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 44,077,480 / month, #635 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Framework :: JupyterFramework :: Jupyter :: JupyterLabFramework :: Jupyter :: JupyterLab :: 3Framework :: Jupyter :: JupyterLab :: 4Framework :: Jupyter :: JupyterLab :: ExtensionsFramework :: Jupyter :: JupyterLab :: Extensions :: PrebuiltIntended Audience :: DevelopersIntended Audience :: Science/ResearchIntended Audience :: System AdministratorsLicense :: OSI Approved :: BSD LicenseProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9 |
Evidence: jupyterlab_widgets-3.0.16-py3-none-any.whl
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 widgets jupyterlab”
- jupyterlab-widgetsEnables Jupyter/IPython widgets to render and function in JupyterLab…
- ipylabipylab lets you control JupyterLab's interface and behavior from…
- ipytreeipytree provides a tree-structure widget for Jupyter notebooks and…
Give your agent the search over MCP, or paste the wish link into any chat.
More Application Frameworks packages
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Textual is a Python framework for building cross-platform user interfaces that run in the terminal or web browser using a modern, component-based API.
Install it if you're developing CLI tools, dashboards, or interactive terminal applications.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Build and connect to Model Context Protocol servers that expose tools, resources, and prompts to LLM applications over stdio, HTTP, or SSE transports.
Install it if you need to build or connect to servers.
Werkzeug is a WSGI utility library providing request/response objects, URL routing, an interactive debugger, HTTP utilities, and a development server for building web applications.
See also jupyter_bokeh · jupyter-builder · shinywidgets · ipympl · ipywidgets · jupysql-plugin · ipylab · ipytree · nbclassic · ipyevents