Dev Tools
Transformers
The model-definition framework behind modern AI — thousands of pretrained transformers for text, vision, and audio.
★ 166.9k starsApache-2.0
View guide →// devtools · gradio-app/gradio
Gradio
Gradio is an open-source dev tools project by gradio-app (gradio-app/gradio on GitHub). It has 43,671 GitHub stars and 3,616 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 2 October 2026.
Build machine-learning web demos in Python within minutes — the fastest way to share a model with the world.
★ 43.7k stars⑂ 3.6k forksApache-2.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
so here's a placeholder. The guide below is complete regardless.
// project facts
Project facts
- Repository
- gradio-app/gradio
- GitHub stars
- 43,671
- Forks
- 3,616
- License
- Apache-2.0
- Last updated on GitHub
- 2 October 2026
- Category
- Dev Tools
- Listing
- Full install guide
- Official site
- Official site
// how it works
How it works
- Write a function
Any Python function — a model call, a transform, a pipeline — becomes your app logic.
- Wrap it in an Interface
Declare inputs and outputs; Gradio builds the UI around them.
- Launch
One call serves a local web UI with API docs included.
- Share it
Get a public link or deploy permanently to Hugging Face Spaces.
// features
Why people love it
Minutes to demo
From Python function to interactive web app in under ten lines of code.
Rich components
Chatbots, image editors, audio recorders, 3D viewers, and dataframes out of the box.
Streaming
Stream tokens, audio, and video for responsive real-time demos.
API for free
Every demo ships an OpenAPI endpoint — script it like any web service.
Spaces hosting
One click deploys your demo free on Hugging Face Spaces.
Custom themes
Theme builder and custom CSS for demos that match your brand.
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// run it
Run it yourself
- Step 1 — Install
Pip-install Gradio into your environment.
pip install gradio - Step 2 — Write your app
Interface, Blocks, or ChatInterface — pick the abstraction that fits.
import gradio as gr - Step 3 — Launch and share
Run locally, then share publicly or deploy to Spaces.
demo.launch(share=True)
// use cases
What you can build
- Demo a new model to teammates in an afternoon.
- Build internal labeling and eval tools.
- Ship public Spaces demos for your checkpoints.
- Prototype voice and vision apps fast.
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// faq
Questions, answered
Who maintains Gradio?
It is an open-source project at gradio-app/gradio with 3,245 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Is Gradio free for commercial use?
Yes — Apache-2.0, including the hosted sharing links.
Gradio vs Streamlit?
Gradio is purpose-built for ML demos (media components, streaming); Streamlit is a general data-app framework.
Can I use my own GPU?
Yes — run locally on your hardware, or deploy to Spaces with GPU upgrades.
Does it work offline?
Local launches work on your LAN; public share links need internet.
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View guide →// alternatives
Alternatives in Dev Tools
The most-starred other Dev Tools projects in the LibreAI catalogue — the realistic shortlist if Gradio is not the right fit.
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// more in devtools
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Get Gradio
Free and open — grab the source, star the repo, and start creating.