AI Potluck
Infrastructure / Core ML frameworks & libraries

TensorFlow

Google

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

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

19,669,609 PyPI downloads of `tensorflow` 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, langgraph at around 58M, fastmcp at around 72.7M. TensorFlow is one of the two foundational training frameworks. The `tensorflow-cpu` wheel, conda and the official Docker images are separate channels that go uncounted here, so the figure is a floor within the top band rather than a full count.

Capability

5 high confidence
5.0

Defines the model-training layer alongside PyTorch.

Verified 2026-08-13