TensorFlow is an open source machine learning framework for everyone.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mihaimaruseac from gravatar.com mihaimaruseac Avatar for rostam from gravatar.com rostam Avatar for tf-nightly from gravatar.com tf-nightly

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache 2.0)
  • Author: Google Inc.
  • Tags tensorflow , tensor , machine , learning
  • Requires: Python >=3.9
  • Provides-Extra: and-cuda , gcs-filesystem
Classifiers
Report project as malware

Project description

Python PyPI

TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.

Originally developed by researchers and engineers from the Google Brain team within Google's AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains. TensorFlow is licensed under Apache 2.0.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mihaimaruseac from gravatar.com mihaimaruseac Avatar for rostam from gravatar.com rostam Avatar for tf-nightly from gravatar.com tf-nightly

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache 2.0)
  • Author: Google Inc.
  • Tags tensorflow , tensor , machine , learning
  • Requires: Python >=3.9
  • Provides-Extra: and-cuda , gcs-filesystem
Classifiers

Release history Release notifications | RSS feed

This version

2.21.0.dev20250813 pre-release

2.21.0.dev20250812 pre-release

2.21.0.dev20250801 pre-release

2.21.0.dev20250729 pre-release

2.21.0.dev20250728 pre-release

2.21.0.dev20250722 pre-release

2.21.0.dev20250721 pre-release

2.21.0.dev20250718 pre-release

2.20.0.dev20250716 pre-release

2.20.0.dev20250715 pre-release

2.20.0.dev20250711 pre-release

2.20.0.dev20250708 pre-release

2.20.0.dev20250707 pre-release

2.20.0.dev20250706 pre-release

2.20.0.dev20250705 pre-release

2.20.0.dev20250704 pre-release

2.20.0.dev20250703 pre-release

2.20.0.dev20250702 pre-release

2.20.0.dev20250626 pre-release

2.20.0.dev20250623 pre-release

2.20.0.dev20250619 pre-release

2.20.0.dev20250616 pre-release

2.20.0.dev20250606 pre-release

2.20.0.dev20250605 pre-release

2.20.0.dev20250604 pre-release

2.20.0.dev20250602 pre-release

2.20.0.dev20250530 pre-release

2.20.0.dev20250526 pre-release

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

tf_nightly_cpu-2.21.0.dev20250813-cp313-cp313-win_amd64.whl (330.4 MB view details)

Uploaded CPython 3.13Windows x86-64

tf_nightly_cpu-2.21.0.dev20250813-cp313-cp313-manylinux_2_27_x86_64.whl (255.5 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64

tf_nightly_cpu-2.21.0.dev20250813-cp312-cp312-win_amd64.whl (330.2 MB view details)

Uploaded CPython 3.12Windows x86-64

tf_nightly_cpu-2.21.0.dev20250813-cp312-cp312-manylinux_2_27_x86_64.whl (255.4 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64

tf_nightly_cpu-2.21.0.dev20250813-cp311-cp311-manylinux_2_27_x86_64.whl (255.3 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64

tf_nightly_cpu-2.21.0.dev20250813-cp310-cp310-win_amd64.whl (330.0 MB view details)

Uploaded CPython 3.10Windows x86-64

tf_nightly_cpu-2.21.0.dev20250813-cp310-cp310-manylinux_2_27_x86_64.whl (255.1 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ x86-64

tf_nightly_cpu-2.21.0.dev20250813-cp39-cp39-win_amd64.whl (330.0 MB view details)

Uploaded CPython 3.9Windows x86-64

tf_nightly_cpu-2.21.0.dev20250813-cp39-cp39-manylinux_2_27_x86_64.whl (255.1 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.27+ x86-64

File details

Details for the file tf_nightly_cpu-2.21.0.dev20250813-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.21.0.dev20250813-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 e5f755a70a3f468345d7ddb76184aff0ca8d3d6d41fde063442358b59e3ef144
MD5 b1201654972705a0ce0859ecdba3f96b
BLAKE2b-256 2bd97be94def0df8e8fb4622bba2838aa178fd727d4a05e6ca6abdb45b44ff87

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.21.0.dev20250813-cp313-cp313-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.21.0.dev20250813-cp313-cp313-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 9db87e8a6793e2f860fadbb35d7261363a1171ab9404f9ee8ae0d52b0346ca38
MD5 21f8caa5c30e77b81fdd1989798c654e
BLAKE2b-256 3947f884f26bdfe926b2be954d2465eec259ce0be7adea2c1a2daee90d31a7cc

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.21.0.dev20250813-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.21.0.dev20250813-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 af798218a8fb07a2302c0f1e5daf03d69aa2b2bea22fd7968623f6d7676e6083
MD5 f72c6d6c60ebb573c8250cac2e796f0c
BLAKE2b-256 9dc95edcfcbaf9c4d40484a849c1dc0d2d839258b161fe89c4da163a95ec7761

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.21.0.dev20250813-cp312-cp312-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.21.0.dev20250813-cp312-cp312-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 4390c150cbab061e9506a0a699d7e5e1ba6a39261f3cc987e5d292d0a8d4bcb1
MD5 0e401619c34daa7e76386add949717df
BLAKE2b-256 5c6999db8dee20fdc7cb5d4a29a34ab6ed94f4ca67dcbcf202aa31e079938ba6

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.21.0.dev20250813-cp311-cp311-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.21.0.dev20250813-cp311-cp311-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 63903030090a7253da19509cfee8eb0062ec0824db8c45e69602d2e19191719f
MD5 cafdaeaf48620e26b9c5b24f317e0ca8
BLAKE2b-256 aabba47b16421f026055fe4d28bf2e6c6c17c34c9a9c9ab7d0f0243370102e48

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.21.0.dev20250813-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.21.0.dev20250813-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 37956f7a14bd72c7c4e15c644ae032f7e9e36df32a9b92b9e135127c9fba9ae6
MD5 b03c49991b712b03f24c543dabbe35fc
BLAKE2b-256 3dec59fe3df3ac0992856bda107e408bf07718a297963fb6d09e5c0ede9e6367

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.21.0.dev20250813-cp310-cp310-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.21.0.dev20250813-cp310-cp310-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 4eaa3378a68994239f3440a9d3133206c3d6bfefd8474c54b7cf084e28e7d237
MD5 47775862692c598bd774c5960cfe507c
BLAKE2b-256 5b9eb1ffad281fc511125db8345e51c5d0799434315178a1d716799f62603dc2

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.21.0.dev20250813-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.21.0.dev20250813-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 144c29af140283b2326ee89b00eb33700eb8f2102aaec9316d7057de79c57dc7
MD5 7412bfd56c5f162b0d55b63115e178fb
BLAKE2b-256 ad314604a6f0eb56f84d9538bfb6e5982e3f31e6d4beef63a3233612bf76ffc5

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.21.0.dev20250813-cp39-cp39-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.21.0.dev20250813-cp39-cp39-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 e7c2343ae3dda68c3d51758017b949c2aeb319dd9fa03ee786161d0d0c3534e4
MD5 865edae87fbfb73cdd3164c6efa0a7fe
BLAKE2b-256 a9010adfd6dbc5392494b6042ef7ce231806aaa6da9515d31a3d1413ab961837

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page