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. Originally an independent project, it is now maintained under Hugging Face, which acquired it.
Verified 2026-08-13 via GitHub and the LICENSE body.
Openness
5 high confidence- license
- Apache-2.0(OSI)
- source
- public
- core-gated
- ungated
LICENSE file is the standard, unmodified Apache 2.0 text. The repository is public and unarchived, and the README describes the whole library with no paid, enterprise or hosted tier beside it, so source is public and the core ungated.
- 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://api.github.com/repos/gradio-app/gradio recorded 2026-08-13
Repo metadata - license spdx_id Apache-2.0, private false, archived false, default branch main - for gradio-app/gradio.
- https://raw.githubusercontent.com/gradio-app/gradio/main/README.md recorded 2026-08-13
README describes Gradio as an open-source Python package for building and sharing ML web apps, including the free share link. No paid tier or feature-gated build appears.
Adoption
5 high confidence15,829,897 PyPI downloads of `gradio` in the trailing 30 days, which clears the top band of the software usage scale, over 10M a month, level 5. That is the same band other products on this map hold at comparable volume - pydantic-ai at around 31M, llama-index at around 10.18M. Gradio is the default framework for ML demos and interfaces, and the standard backend for Hugging Face Spaces. This is a conservative placement: the volume sits not far above the 10M threshold, so the level rests on that status as well as on the download figure.
- https://pepy.tech/projects/gradio recorded 2026-08-13
15,829,897 downloads in the last 30 days for gradio
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
Verified 2026-08-13