# gradio-app/gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Repository: https://github.com/gradio-app/gradio
Canonical: https://ross.abutalabs.com/products/gradio
Homepage: http://www.gradio.app
Language: Python
License: Apache-2.0
License Family: permissive
Topics: machine-learning, models, ui, ui-components, interface, python, data-science, data-visualization, deep-learning, data-analysis, gradio, gradio-interface, python-notebook, deploy
Last push: 2026-08-26T23:55:57+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 87, longevity 100
- inputs: {"age_days": 2814, "days_push": 7, "days_rel": 9, "gap_med": 0.0, "n_releases_24m": 3209}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 43425, forks 3582 (observed 2026-08-28T04:12:09.046200+00:00)

## What it is
Gradio is an open-source Python library for quickly building web-based demos and UIs for machine learning models, APIs, or arbitrary Python functions. It requires no JavaScript or web hosting knowledge and includes built-in sharing to publish demos via a public link in seconds.

## Use cases
- create a web demo for a machine learning model
- build a UI around a Python function without writing frontend code
- share an interactive ML prototype with a link
- demo a Hugging Face model in a browser
- build quick data science dashboards in Python
- wrap an API in a simple web interface

## When to choose
- you want a fast ML model demo with minimal code
- you work in Python and need a web UI without frontend skills
- you need shareable demos for notebooks or prototypes
- you want tight integration with the Hugging Face ecosystem

## When to avoid
- you need a fully custom production web application
- you require fine-grained control over frontend design and routing
- you are building a large multi-page web app with complex state
- you need a non-Python backend stack

## Facets
- artifact type: library
- maturity: stable
- function: ui-components, web-framework, data-visualization, frontend-framework
- domain: machine-learning, data-science, web-development, deep-learning, artificial-intelligence
- platform: python, cross-platform
- tags: ml-demos, web-ui, hugging-face, prototyping, notebooks, model-deployment, web-server

## Member repositories
- gradio-app/gradio (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:09.046200+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 2026-08-29T16:22:26.476084+00:00, confidence not recorded.
  - readme: https://github.com/gradio-app/gradio (fetched 2026-08-28T04:12:09.046200+00:00, sha e6458e77f506)
- Data as of 2026-08-30T08:39:29.467469+00:00.