Gradio
Hugging FaceGradio is a Python package for quickly building web demos and applications around machine-learning models, APIs or arbitrary Python functions, without JavaScript, CSS or web-hosting knowledge. It provides the Interface, Blocks and ChatInterface classes plus built-in public sharing of demos.
Openness
5 high confidence- license
- Apache-2.0(OSI)
- source
- public
- core features withheld
- no
Gradio is released under Apache-2.0, an OSI-approved license, and its README describes the whole library with no paid, enterprise or hosted tier beside it. The source is published in a public repository and as a downloadable source distribution, so no part of the core is gated.
- https://github.com/gradio-app/gradio/blob/main/LICENSE recorded 2026-08-13
LICENSE file is the verbatim Apache License Version 2.0 text
- https://pypi.org/project/gradio/ recorded 2026-09-29
The PyPI project page states "licensed under the Apache License 2.0 found in the" LICENSE file in the root directory.
- https://pypi.org/pypi/gradio/json recorded 2026-09-29
PyPI metadata for gradio gives the license expression as "Apache-2.0" and the README states "Gradio is licensed under the Apache License 2.0 found in the"; the release is published as a source distribution and a wheel.
- https://pypi.org/pypi/gradio/json recorded 2026-09-29
PyPI JSON lists an sdist file named "gradio-6.28.0.tar.gz" beside the wheel, so the source is publicly downloadable; the README says "please create an [issue on GitHub]".
- https://pypi.org/pypi/gradio/json recorded 2026-09-29
The README describes the whole library as "Gradio is an open-source Python package that allows you to quickly" build ML demos, and mentions no paid, enterprise or hosted tier. Searched the README for enterprise, pricing, license key and paid: none.
Adoption
4 high confidenceAdoption is measured by PyPI downloads of the gradio package. Gradio is the default framework for building ML demos and interfaces and the standard backend for Hugging Face Spaces, giving its download volume a structural role across the ecosystem beyond individual experimentation.
- https://pypistats.org/api/packages/gradio/recent recorded 2026-10-07
5,202,260 downloads in the trailing 30 days for gradio (pypistats last_month)
Capability
4 high confidenceBroad and widely used for demos and apps but scoped to the interface layer, not model training.
- https://github.com/gradio-app/gradio recorded 2026-08-13
README still describes building and sharing web demos and apps for ML models and Python functions with no frontend code
- https://pypi.org/pypi/gradio/json recorded 2026-09-29
README for the current release: "Gradio includes another high-level class, `gr.ChatInterface`, which is specifically designed to create Chatbot UIs" alongside Interface for demos and Blocks for custom layouts, with public share links and no JavaScript, CSS or web hosting experience needed.
Verified 2026-09-29, except some scores, still awaiting re-confirmation