ipyvue
Jupyter widgets base for Vue libraries
Decision gist · record as of 2026-08-14
Yes, if you need to build interactive Jupyter widgets with Vue.js. The low installation friction, active maintenance, permissive MIT license, and lack of known vulnerabilities make it a safe choice. Install it when you want Vue's component model and reactivity in your notebooks without writing raw JavaScript or dealing with complex widget boilerplate.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Jupyter notebook or JupyterLab environment with nbextension support enabled; development work requires npm.
- Low friction installation with a single pip command and nbextension setup.
- The package is actively maintained with a recent release and no known vulnerabilities, making it straightforward to add to an existing Jupyter environment.
License · maintenance · safety
MIT (permissive) — MIT license permits free use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.
last release 2026-08-11 (3 days) · last repo commit 2026-08-14 · 72 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 362,380 downloads/mo, #7,232 on PyPI
Alternatives
Verify before relying
pip install ipyvue
jupyter nbextension enable --py --sys-prefix ipyvue
from ipyvue import VueTemplate
class MyComponent(VueTemplate):
template = "<div>Hello</div>"
widget = MyComponent()- Whether scoped CSS support works reliably across different Jupyter environments and versions.
- Performance characteristics when rendering complex Vue components with many interactive elements.
- Compatibility with the latest JupyterLab versions and whether classic notebook is still the primary target.
What it is and what it does
ipyvue is a Jupyter widget framework that lets you build interactive components using Vue.js inside notebook cells. It acts as a bridge between Vue's component model and Jupyter's widget system, allowing you to define custom widgets by writing Vue templates and Python classes. The package handles the plumbing of rendering Vue components in the notebook frontend and communicating state changes back to Python.
You use it by subclassing VueTemplate, defining a Vue template string with HTML and optional scoped CSS, and then instantiating the class to display an interactive widget. It depends only on ipywidgets, making it a lightweight addition to existing Jupyter setups. The framework is actively maintained and has been in use since 2019, with support for Python 3.8 through 3.11.
Use it for
- Build custom interactive dashboards in notebooks by composing Vue components for data visualization and user input.
- Create reusable widget libraries that other notebook users can import and customize without writing JavaScript.
- Prototype interactive data exploration tools that combine Vue's reactivity with Python's data processing capabilities.
- Develop educational materials with interactive examples that respond to user input in real time within notebooks.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to build interactive Jupyter widgets with Vue.js.
The low installation friction, active maintenance, permissive MIT license, and lack of known vulnerabilities make it a safe choice. Install it when you want Vue's component model and reactivity in your notebooks without writing raw JavaScript or dealing with complex widget boilerplate.
Install
ipyvue on PyPI
Before you install
Low friction installation with a single pip command and nbextension setup. The package is actively maintained with a recent release and no known vulnerabilities, making it straightforward to add to an existing Jupyter environment.
Requires Jupyter notebook or JupyterLab environment with nbextension support enabled; development work requires npm.
License in practice
MIT license permits free use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.
Quickstart
pip install ipyvue
jupyter nbextension enable --py --sys-prefix ipyvue
from ipyvue import VueTemplate
class MyComponent(VueTemplate):
template = "<div>Hello</div>"
widget = MyComponent()Verify before relying
- Whether scoped CSS support works reliably across different Jupyter environments and versions.
- Performance characteristics when rendering complex Vue components with many interactive elements.
- Compatibility with the latest JupyterLab versions and whether classic notebook is still the primary target.
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageipywidgets |
| Maintenance | Actively maintained 3 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 362,380 / month, #7,232 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaFramework :: IPythonIntended Audience :: DevelopersIntended Audience :: Science/ResearchProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Multimedia :: Graphics |
Evidence: ipyvue-3.0.0-py2.py3-none-any.whl
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See also ipyvuetify · vbuild · ipytree · shinywidgets · ipywidgets · ipympl · ipydatawidgets · reacton · widgetsnbextension · ipysigma