ipyvuetify
Jupyter widgets based on vuetify UI components
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, installs with minimal friction, and is widely used (top 15000 PyPI packages). It's a solid choice if you need Material Design widgets in Jupyter. The main constraint is that you must be working in a Jupyter environment; outside that context it has no purpose.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Jupyter notebook or JupyterLab environment; older JupyterLab versions (< 3) need a separate labextension install.
- Low friction install via pip with a single runtime dependency (ipyvue).
- Actively maintained with a recent release and no known vulnerabilities.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects.
last release 2026-08-12 (2 days) · last repo commit 2026-08-12 · 356 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 320,878 downloads/mo, #7,630 on PyPI
Alternatives
Verify before relying
pip install ipyvuetify
import ipyvuetify as v
button = v.Btn(children=['Click me'])
button.on_event('click', lambda widget, event, data: print('Clicked'))- Whether the package supports real-time two-way data binding in all use cases or only through explicit event listeners.
- Performance characteristics when rendering large numbers of Material Design components in a single notebook.
- Compatibility with JupyterHub or other Jupyter deployment scenarios beyond local notebooks.
What it is and what it does
ipyvuetify bridges Vuetify 3 UI components into Jupyter notebooks, letting you build Material Design interfaces using Python instead of Vue templates. It wraps Vuetify's component library—buttons, menus, sliders, navigation drawers, and more—as Python classes that you instantiate and configure with keyword arguments. Components emit events you listen to with on_event(), and you organize them into layouts by nesting them in the children parameter, much like building a Vue component tree in Python.
The package depends only on ipyvue (its single runtime dependency) and supports Python 3.6 through 3.13. It's actively maintained, recently released, and carries no known security vulnerabilities. You can use it either as a direct Python API (CamelCase class names, snake_case attributes) or via VuetifyTemplate for a more Vue-like template syntax if you prefer web development patterns.
Use it for
- Build interactive data exploration dashboards in Jupyter with Material Design buttons, sliders, and data tables.
- Create notebook-based configuration UIs with forms, dropdowns, and validation feedback using Vuetify components.
- Develop real-time monitoring interfaces in notebooks with navigation drawers, tabs, and live-updating widgets.
- Prototype web application UIs in Jupyter before migrating to standalone Vue.js projects.
- Build collaborative research notebooks with polished Material Design interfaces for parameter tuning and result visualization.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no known vulnerabilities, installs with minimal friction, and is widely used (top 15000 PyPI packages). It's a solid choice if you need Material Design widgets in Jupyter. The main constraint is that you must be working in a Jupyter environment; outside that context it has no purpose.
Install
ipyvuetify on PyPI
Before you install
Low friction install via pip with a single runtime dependency (ipyvue). Actively maintained with a recent release and no known vulnerabilities.
Requires Jupyter notebook or JupyterLab environment; older JupyterLab versions (< 3) need a separate labextension install.
License in practice
MIT license permits unrestricted use, modification, and distribution in both open-source and proprietary projects.
Quickstart
pip install ipyvuetify
import ipyvuetify as v
button = v.Btn(children=['Click me'])
button.on_event('click', lambda widget, event, data: print('Clicked'))Verify before relying
- Whether the package supports real-time two-way data binding in all use cases or only through explicit event listeners.
- Performance characteristics when rendering large numbers of Material Design components in a single notebook.
- Compatibility with JupyterHub or other Jupyter deployment scenarios beyond local notebooks.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.6 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageipyvue |
| Maintenance | Actively maintained 2 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 320,878 / month, #7,630 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableFramework :: IPythonIntended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Multimedia :: Graphics |
Evidence: ipyvuetify-3.0.0-py2.py3-none-any.whl
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