{"categories":[{"label":"Graphics","url":"https://skillfed.io/packages/category/multimedia-graphics"}],"enrichment":{"capability":"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.","skillfed_tags":["jupyter-widgets","material-design","interactive-ui"],"use_cases":["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."],"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\u2014buttons, menus, sliders, navigation drawers, and more\u2014as 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.\n\nThe 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.","worth_installing":"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."},"id":"ipyvuetify","links":{"html":"https://skillfed.io/packages/ipyvuetify","md":"https://skillfed.io/packages/ipyvuetify.md","pypi":"https://pypi.org/project/ipyvuetify/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-12","license_spdx":null,"license_treatment":"permissive","name":"ipyvuetify","python_support":"supports_current","summary":"Jupyter widgets based on vuetify UI components"},"popularity":{"monthly_downloads":320878,"position":7630,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"3.0.0"}