# Shiny for Python

> Open-source Python framework for building reactive data dashboards and AI-powered web apps.

Shiny for Python is an open-source framework from Posit for building interactive web applications and dashboards in pure Python. It is released under the MIT license and installs from PyPI or conda-forge. Apps are created from templates with the `shiny create` command and run locally with `shiny run`.

## What It Is

Shiny for Python lets data scientists and developers build web apps without writing web-development code. Its reactive execution engine tracks dependencies between inputs and outputs, so outputs re-render only when their upstream components change, with no manual callbacks or state variables. It is built on Starlette and asyncio, and supports CSS and JavaScript customization. It works with Python packages such as pandas, plotly, seaborn and ipyleaflet. The project offers two authoring styles: Shiny Express and Shiny Core.

## Workflow and Setup

Install with `uv pip install shiny`, then run `uvx shiny create --template dashboard-tips` to scaffold an app from a template. Apps are run with `shiny run app.py --reload --launch-browser` or through the Shiny extension. The site provides components, layouts, templates, a gallery and a browser-based playground (Shinylive). A testing API is also documented.

## AI Apps and Agent Skills

The site highlights a natural-language data querying template (querychat) and a Shiny for AI section. The package also bundles Agent Skills, reference material that helps coding agents such as Claude Code and Cursor build, style, test and debug Shiny apps. They can be installed with `uvx library-skills`, and `shiny skills list` shows what is bundled.

## Deployment

Apps can be hosted on your own servers or on Connect Cloud, shinyapps.io, Hugging Face, or run in the browser with Shinylive.

## Features
- Reactive execution engine that re-renders only changed outputs
- Shiny Express and Shiny Core APIs
- Project templates via shiny create CLI
- Built on Starlette and asyncio
- CSS and JavaScript customization
- Components, layouts and dark mode
- Shinylive in-browser execution
- Testing API
- Bundled Agent Skills for coding agents
- Natural-language data querying template

## Integrations
pandas, plotly, seaborn, ipyleaflet, Starlette, Connect Cloud, shinyapps.io, Hugging Face, Claude Code, Cursor

## Platforms
WINDOWS, WEB, API, VSC_EXTENSION, DEVELOPER_SDK, CLI

## Pricing
Open Source

## Version
v1.8.0

## Links
- Website: https://shiny.posit.co/py/
- Documentation: https://shiny.posit.co/py/docs/overview.html
- Repository: https://github.com/posit-dev/py-shiny
- EveryDev.ai: https://www.everydev.ai/tools/shiny-for-python