---
id: ipyvuetify
version: "3.0.0"
license: MIT
license_treatment: permissive
maintenance: active
---

# ipyvuetify — Jupyter widgets based on vuetify UI components

License: permissive · Maintenance: active · Downloads: 320.9K/mo

## 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 above — verify before relying.

Provides Jupyter notebook widgets built on Vuetify UI components implementing Material Design, letting you build interactive interfaces with Vue.js-style components directly in Python.

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

pip install ipyvuetify
uv add ipyvuetify
poetry add ipyvuetify

## Installing ipyvuetify

Before you install: Low friction install via pip with a single runtime dependency (ipyvue). Actively maintained with a recent release and no known vulnerabilities.

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'))

Requires Jupyter notebook or JupyterLab environment; older JupyterLab versions (< 3) need a separate labextension install.

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_current
- Install friction: low
- Maintenance: active
- Downloads: 320.9K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

jupyter widgets material design, vuetify jupyter components, interactive notebook ui, jupyter material design interface, vue components in jupyter, ipywidgets material design, jupyter notebook ui framework, jupyter-widgets, material-design, interactive-ui

[View on SkillFed](https://skillfed.io/packages/ipyvuetify) · [View on PyPI](https://pypi.org/project/ipyvuetify/)