TensorFlow

license

Apache-2.0(OSI)

source

public

core features withheld

no

Apache-2.0 licensed with full public source. The install guide offers pip, Docker and source builds with no paid, enterprise or hosted tier beside them, so the core is ungated.

• https://github.com/tensorflow/tensorflow recorded 2026-08-13

  Repo page still shows the Apache-2.0 license and the full public source tree

• https://pypi.org/pypi/tensorflow/json recorded 2026-09-29

  PyPI metadata lists the license as "Apache 2.0" and the classifier "License :: OSI Approved :: Apache Software License"; its "Download" link points to the public GitHub tags page for tensorflow/tensorflow.

• https://www.tensorflow.org/install recorded 2026-09-29

  Install page offers "Download a pip package, run in a Docker container, or build from source." Searched the body for license key, enterprise, paid tier and subscription: none.

• https://www.tensorflow.org/install/source recorded 2026-09-29

  The build-from-source guide tells readers to run "git clone https://github.com/tensorflow/tensorflow.git" to get the public source tree.

Adoption is measured as PyPI downloads of the tensorflow package in the trailing 30 days. The tensorflow-cpu wheel, conda packages and the official Docker images are separate channels not counted here, so the measured volume is a floor rather than a complete count of its use.

• https://pepy.tech/projects/tensorflow recorded 2026-08-13

  19,669,609 downloads in the last 30 days for tensorflow

Defines the model-training layer alongside PyTorch.

• https://github.com/tensorflow/tensorflow recorded 2026-08-13

  README still describes an end-to-end ML platform with stable Python and C++ APIs across CPU, GPU and TPU

• https://pypi.org/pypi/tensorflow/json recorded 2026-09-29

  PyPI description states that "Its flexible architecture allows easy deployment of computation" across CPUs, GPUs and TPUs, "from desktops to clusters".

• https://www.tensorflow.org/ recorded 2026-09-29

  Home page describes "An end-to-end open source machine learning platform for everyone." and lists deployment on "mobile and edge devices such as Android, iOS, Raspberry Pi, and Edge TPU."

• https://www.tensorflow.org/guide/distributed_training recorded 2026-09-29

  Distributed training guide: TensorFlow API to "distribute training across multiple GPUs, multiple machines, or TPUs" with minimal code changes.