Infrastructure / Core ML frameworks & libraries

TensorFlow

TensorFlow is an end-to-end open source platform for machine learning, offering stable Python and C++ APIs for building and deploying ML models across CPUs, GPUs, and TPUs. It was developed by Google Brain and remains maintained by Google with broad community involvement. It is one of the two dominant deep learning frameworks and powers large-scale research and production deployments.

Verified live 2026-06-22 via primary sources. Apache-2.0 licensed with full public source.

Openness

5 high confidence

5.0

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

Apache-2.0 licensed with full public source.

https://github.com/tensorflow/tensorflow recorded 2026-06-22
Repo shows Apache License 2.0 and full source

Adoption

5 high confidence

5.0

Re-scored 4->5. 21.06M 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, langgraph ~58M, fastmcp ~72.7M, all level 5); the prior level 4 here applied a stricter 5M-50M band used only in one ml_frameworks scoring batch, which placed these frameworks inconsistently below map peers of equal or lower volume. TensorFlow at 21M/mo is one of the two foundational training frameworks and clears the prevailing floor.

https://pepy.tech/projects/tensorflow recorded 2026-06-25
21,057,167 downloads in last 30 days

Capability

5 high confidence

5.0

Defines the model-training layer alongside PyTorch.

https://github.com/tensorflow/tensorflow recorded 2026-06-22
README describes end-to-end ML platform with stable Python/C++ APIs

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