# posit-dev/py-shiny

Shiny for Python

Repository: https://github.com/posit-dev/py-shiny
Canonical: https://ross.abutalabs.com/products/py-shiny
Homepage: https://shiny.posit.co/py/
Language: Python
License: MIT
License Family: permissive
Last push: 2026-08-26T19:41:45+00:00

## Health v2 (maintenance only)
Score: 94/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 83, longevity 100
- inputs: {"age_days": 1863, "days_push": 7, "days_rel": 35, "gap_med": 48.5, "n_releases_24m": 13}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1750, forks 133 (observed 2026-08-28T04:05:31.107242+00:00)

## What it is
Shiny for Python is a reactive web application framework from Posit for building interactive dashboards and data apps in pure Python, built on Starlette and asyncio. It supports inputs/outputs with automatic reactive re-rendering, UI components, theming, custom JavaScript components, and AI chat interfaces.

## Use cases
- build interactive dashboards in python
- create a data app with sliders and plots
- build a streaming llm chatbot interface in python
- prototype an interactive data visualization app
- deploy a python web app without writing javascript
- build a reactive analytics dashboard with plotly
- query data with natural language ai chat

## When to choose
- you want reactive python web apps without manual state management
- you are a data scientist building dashboards or data apps
- you want to prototype quickly but scale to production apps
- you need chatbot or gen-ai interfaces in python

## When to avoid
- you need a traditional REST API backend
- you want full control over frontend rendering with a JS framework like React
- you need a static site rather than a server-backed interactive app

## Facets
- artifact type: framework
- maturity: active
- function: web-framework, data-visualization, chatbot, templating, state-management
- domain: web-development, data-visualization, data-science, frontend, artificial-intelligence
- platform: python, cross-platform
- tags: reactive-programming, dashboards, shiny, data-apps, interactive-apps, streaming-chat, shinylive, web-server

## Member repositories
- posit-dev/py-shiny (main) score 94

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:31.107242+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:28:45.520450+00:00, confidence not recorded.
  - readme: https://github.com/posit-dev/py-shiny (fetched 2026-08-28T04:05:31.107242+00:00, sha 933288276599)
  - homepage: https://shiny.posit.co/py/ (fetched 2026-08-29T11:06:41.737185+00:00, sha 5212fd26c9f0)
  - site_page: https://shiny.posit.co/py/docs/overview.html (fetched 2026-08-29T11:06:41.746649+00:00, sha 728f88413b4d)
  - site_page: https://shiny.posit.co/py/docs/genai-inspiration.html (fetched 2026-08-29T11:06:41.749221+00:00, sha 85e8b7d65776)
  - site_page: https://shiny.posit.co/py/docs/ui-customize.html (fetched 2026-08-29T11:06:41.751159+00:00, sha 4347ec05b0c1)
  - site_page: https://shiny.posit.co/py/docs/custom-component-one-off.html (fetched 2026-08-29T11:06:41.753040+00:00, sha 36f4d161ce7a)
  - site_page: https://shiny.posit.co/py/docs/user-interfaces.html (fetched 2026-08-29T11:06:41.754985+00:00, sha 1a1226c487cd)
- Data as of 2026-08-30T08:39:29.467469+00:00.