Gradio

Gradio

Open Source

Build and share delightful machine learning apps, all in Python.

Data Apps

Published 29 May 2026 · Last updated 27 September 2026

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Scores

Popularity3/5

Very widely used in the ML and HuggingFace community for model demos and Spaces.

Learning Curve1/5

Simplest ML demo framework; a working demo is a single function call.

Flexibility3/5

Simple Interface API works well; advanced layouts and custom components require more effort.

Performance4/5

Fast for inference demos; built-in queuing handles concurrent requests efficiently.

Portability3/5

Interface API is unique; migration to Streamlit or Dash requires rewriting the UI layer.

About Gradio

Gradio is an open-source Python framework for building web interfaces for machine learning models, AI applications, and any Python function. It started as an independent project, was acquired by Hugging Face, and is now the standard way to demo models on Hugging Face Spaces.

The quickest path is gr.Interface: wrap a Python function, declare its input and output components, and get a working web UI in a few lines. For anything more involved, gr.Blocks composes layouts, tabs, and event handlers freely, and gr.ChatInterface builds a chatbot UI around any LLM function using OpenAI-style message history. Components cover text, images, audio, video, 3D models, galleries, dataframes, and streaming output, and custom components can be written inline in HTML and JavaScript.

Every Gradio app also exposes an API: an auto-generated REST endpoint with Python and JavaScript clients, and apps can run as MCP servers so AI agents can call their functions as tools. Queuing, concurrency limits, and streaming make it workable for GPU-backed demos with many users.

Sharing is built in. Running an app with share=True creates a temporary public link, and Hugging Face Spaces hosts Gradio apps permanently, free on basic hardware or on paid GPUs; apps can also be self-hosted like any Python web server. Gradio is free under the Apache 2.0 licence. It is built for model demos and AI tools rather than full web products, so custom styling and multi-page applications are limited compared with frameworks such as Reflex or Dash.

Key Features

  • gr.Interface: a web UI around any Python function in a few lines
  • gr.Blocks for custom layouts, tabs, and event handling
  • gr.ChatInterface for chatbot UIs with OpenAI-style message history
  • Multimedia components: image, audio, video, 3D, gallery, dataframe
  • Auto-generated REST API with Python and JavaScript clients
  • Apps can run as MCP servers for AI agents
  • Inline custom components in HTML and JavaScript
  • Temporary share links and permanent hosting on Hugging Face Spaces

Pros

  • Fastest route from a Python function to a shareable web demo
  • Purpose-built components for ML inputs and outputs
  • Deep Hugging Face integration for Transformers and Diffusers models
  • Free hosting on Hugging Face Spaces
  • Every app doubles as an API and an MCP tool server

Cons

  • Limited styling and layout control for polished products
  • Share links are temporary; permanent hosting needs Spaces or a server
  • Not suited to complex multi-page web apps
  • Major versions (4, 5, 6) have brought breaking API changes

Gradio Pricing

Open Source

Tech Stacks with Gradio

Gradio ML Showcase

Project

Machine learning demo app with Gradio: wrap PyTorch or scikit-learn models in a web interface in minutes.

Python
Python

Programming

Hugging Face
Hugging Face

Hosting

PyTorch
PyTorch
scikit-learn
scikit-learn
Pandas
Pandas

Data

Gradio
Gradio

Data

Details Sandbox
CI/CD add-on:

Tools Related to Gradio

Integrates with Gradio(2)

Hugging Face Spaces

Hugging Face Spaces

Hugging Face's hosting for ML demo apps: push a Streamlit, Gradio, or static app and it runs on a public URL, free on CPU.

Freemium
Hosting & Cloud
5/5

Gradio is a Hugging Face product, and Spaces is its native hosting home — pushing a Gradio app needs only an app file and a short YAML header, no separate deployment config.

Hugging Face

Hugging Face

The largest model hub and ecosystem in AI — 2M+ models, 500K+ datasets, and 1M+ Spaces, with three distinct ways to run inference (Serverless API, dedicated Inference Endpoints, or 200+ third-party Inference Providers).

Freemium
AI Infrastructure
3/5

Gradio apps deploy to Hugging Face Spaces with a single `gradio deploy` command from the official Gradio CLI, making Spaces the standard hosting target for a Gradio demo.

Alternatives to Gradio(3)

Streamlit

Streamlit

Open-source Python framework for turning data scripts into interactive web apps in a few lines, with no frontend code. Part of Snowflake since 2022.

Freemium
Data Apps
4/5

Both Python dashboard tools; Gradio specializes in ML model demos with typed input/output widgets, Streamlit is a more general data app builder.

Panel

Panel

Panel is a Python library from the HoloViz ecosystem for building powerful interactive dashboards and web apps, with deep integration across the scientific Python stack.

Open Source
Data Apps
3/5

Gradio is ML demo-focused with typed UI widgets; Panel is a general dashboard framework — different primary audiences.

Dash

Dash

Python framework from Plotly for building analytical web apps and interactive dashboards on Flask, React, and Plotly.js, without writing JavaScript.

Freemium
Data Apps
3/5

Gradio and Dash are both Python data app frameworks; Dash is more structured for production apps, Gradio focuses on quick ML demos.

Links

Website Docs GitHub

Vendor

Hugging Face

Hugging Face

Website →

Tags

PythonOpen SourceFree TierMachine LearningData Visualization

Details

Maintained
Yes
Primary language
Python
Domain
Data
GitHub stars
43.6k
Stars updated
2026-09-23