Infrastructure / Core ML frameworks & libraries

Gradio

Gradio is an open source Python package for quickly building web demos and applications for 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 after the company acquired Gradio.

Verified live 2026-06-22 via primary sources. LICENSE file is the standard, unmodified Apache 2.0 text.

Openness

5 high confidence

5.0

license: Apache-2.0(OSI)
source: public
core-gated: ungated

LICENSE file is the standard, unmodified Apache 2.0 text.

https://github.com/gradio-app/gradio/blob/main/LICENSE recorded 2026-06-22
Standard Apache License 2.0 full text

Adoption

5 high confidence

5.0

Re-scored 4->5. 12.69M PyPI downloads in the last 30 days. The map's prevailing usage_volume level-5 floor is >10M/mo (cf. pydantic-ai ~31M, llama-index ~10.18M at level 5); the prior note explicitly bucketed it into a 5M-50M=L4 band that only this ml_frameworks batch used, below map peers of equal volume. Gradio is the default ML demo/UI framework (the standard backend for HF Spaces) and clears the prevailing floor. Conservative: it sits just above 10M, so the bump rests on volume plus ecosystem-standard status, not volume alone.

https://pepy.tech/projects/gradio recorded 2026-06-25
12,685,121 downloads in last 30 days

Capability

4 high confidence

4.0

Broad and widely used for demos and apps but scoped to the interface layer, not model training.

https://github.com/gradio-app/gradio recorded 2026-06-22
Describes Interface/Blocks/ChatInterface and public sharing

Unchanged since 2026-07-30 (last edited, not re-checked)