AI Potluck
Infrastructure / Core ML frameworks & libraries

Keras

Google

Keras is a high-level deep learning framework billed as 'Deep Learning for humans'; Keras 3 is multi-backend, running on JAX, TensorFlow, PyTorch, and OpenVINO (inference only). It is maintained by the keras-team organization, closely tied to Google. It provides an accessible API for building and training models while letting users choose the underlying backend.

Verified 2026-08-13 via GitHub and the GitHub license API.

Openness

5 high confidence
5.0
license
Apache-2.0(OSI)
source
public
core-gated
ungated

Apache-2.0 licensed with full public source. 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.

Adoption

5 high confidence
5.0

18,774,405 PyPI downloads of `keras` 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. Keras is the standard high-level training API across TensorFlow, JAX and PyTorch.

Capability

4 high confidence
4.0

Central API layer but sits atop lower-level frameworks rather than defining the compute layer.

Verified 2026-08-13