# streamlit/streamlit

Streamlit — A faster way to build and share data apps.

Repository: https://github.com/streamlit/streamlit
Canonical: https://ross.abutalabs.com/products/streamlit
Homepage: https://streamlit.io
Language: Python
License: Apache-2.0
License Family: permissive
Topics: python, machine-learning, data-science, deep-learning, data-visualization, streamlit, data-analysis, developer-tools
Last push: 2026-08-26T22:54:14+00:00

## Health v2 (maintenance only)
Score: 99/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 98, longevity 100
- inputs: {"age_days": 2567, "days_push": 7, "days_rel": 14, "gap_med": 13.0, "n_releases_24m": 43}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 45620, forks 4368 (observed 2026-08-28T04:12:09.590330+00:00)

## What it is
Streamlit is an open-source Python framework that turns data scripts into interactive web apps in minutes, with widgets, charts, and dataframes built in and no front-end code required. Apps update live as the script is edited and can be deployed via Streamlit Community Cloud or other hosting.

## Use cases
- build interactive dashboards from pandas dataframes
- turn a python data script into a shareable web app
- prototype an ML model demo with sliders and inputs
- create a chatbot UI for an LLM
- visualize csv data with charts without writing javascript
- deploy a quick internal data tool

## When to choose
- you know Python but not front-end development
- you need fast interactive prototypes or internal dashboards
- you want widgets, charts, and caching from a simple script API
- you want to demo ML/AI models to non-technical users

## When to avoid
- you need fine-grained control over routing, URLs, or custom front-end components
- you are building a production multi-user web application with complex auth
- you need a highly customized design system or pixel-perfect UI
- your app requires real-time high-concurrency request handling

## Facets
- artifact type: framework
- maturity: stable
- function: web-framework, data-visualization, ui-components, charts, chat-interface, caching
- domain: data-science, data-visualization, machine-learning, web-development, developer-tools
- platform: python, cross-platform, cli
- tags: data-apps, dashboards, prototyping, interactive-widgets, pure-python, no-frontend, web-server

## Member repositories
- streamlit/streamlit (main) score 99

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:09.590330+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 2026-08-29T16:21:39.079622+00:00, confidence not recorded.
  - readme: https://github.com/streamlit/streamlit (fetched 2026-08-28T04:12:09.590330+00:00, sha 6a416c371086)
  - homepage: https://streamlit.io (fetched 2026-08-29T07:45:18.903905+00:00, sha 8439c971e0e9)
  - site_page: https://docs.streamlit.io/ (fetched 2026-08-29T07:45:18.907571+00:00, sha 68d8c87497bc)
  - site_page: https://docs.streamlit.io/get-started (fetched 2026-08-29T07:45:18.909359+00:00, sha fc1f7560f887)
  - site_page: https://docs.streamlit.io/library/changelog (fetched 2026-08-29T07:45:18.912336+00:00, sha 8e1dc322c43b)
  - registry_pypi: https://pypi.org/pypi/streamlit/json (fetched 2026-08-29T07:45:18.914255+00:00, sha d77fccab3de2)
  - site_page: https://streamlit.io/playground (fetched 2026-08-29T07:45:18.910829+00:00, sha 25bba3f06306)
- Data as of 2026-08-30T08:39:29.467469+00:00.