TensorFlow is an open source machine learning framework for everyone.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mhudgins from gravatar.com mhudgins Avatar for mihaimaruseac from gravatar.com mihaimaruseac Avatar for rishikasinha from gravatar.com rishikasinha 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 mhudgins from gravatar.com mhudgins Avatar for mihaimaruseac from gravatar.com mihaimaruseac Avatar for rishikasinha from gravatar.com rishikasinha 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

2.21.0.dev20251205 pre-release

2.21.0.dev20251204 pre-release

2.21.0.dev20251203 pre-release

2.21.0.dev20251202 pre-release

2.21.0.dev20251201 pre-release

2.21.0.dev20251130 pre-release

2.21.0.dev20251129 pre-release

2.21.0.dev20251128 pre-release

2.21.0.dev20251127 pre-release

2.21.0.dev20251126 pre-release

2.21.0.dev20251125 pre-release

2.21.0.dev20251124 pre-release

2.21.0.dev20251122 pre-release

2.21.0.dev20251121 pre-release

2.21.0.dev20251119 pre-release

2.21.0.dev20251118 pre-release

2.21.0.dev20251117 pre-release

2.21.0.dev20251116 pre-release

2.21.0.dev20251115 pre-release

2.21.0.dev20251114 pre-release

2.21.0.dev20251113 pre-release

2.21.0.dev20251112 pre-release

2.21.0.dev20251110 pre-release

2.21.0.dev20251109 pre-release

2.21.0.dev20251108 pre-release

2.21.0.dev20251107 pre-release

2.21.0.dev20251106 pre-release

2.21.0.dev20251105 pre-release

2.21.0.dev20251104 pre-release

2.21.0.dev20251103 pre-release

2.21.0.dev20251102 pre-release

2.21.0.dev20251101 pre-release

2.21.0.dev20251031 pre-release

2.21.0.dev20251030 pre-release

2.21.0.dev20251029 pre-release

2.21.0.dev20251017 pre-release

2.21.0.dev20251016 pre-release

2.21.0.dev20251013 pre-release

2.21.0.dev20251009 pre-release

2.21.0.dev20251006 pre-release

2.21.0.dev20251003 pre-release

2.21.0.dev20250925 pre-release

2.21.0.dev20250924 pre-release

2.21.0.dev20250922 pre-release

2.21.0.dev20250920 pre-release

2.21.0.dev20250919 pre-release

2.21.0.dev20250918 pre-release

2.21.0.dev20250916 pre-release

2.21.0.dev20250912 pre-release

2.21.0.dev20250909 pre-release

2.21.0.dev20250908 pre-release

2.21.0.dev20250905 pre-release

2.21.0.dev20250903 pre-release

This version

2.21.0.dev20250902 pre-release

2.21.0.dev20250829 pre-release

2.21.0.dev20250827 pre-release

2.21.0.dev20250819 pre-release

2.21.0.dev20250818 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

If you're not sure about the file name format, learn more about wheel file names.

tf_nightly-2.21.0.dev20250902-cp313-cp313-win_amd64.whl (330.4 MB view details)

Uploaded CPython 3.13Windows x86-64

tf_nightly-2.21.0.dev20250902-cp313-cp313-manylinux_2_27_x86_64.whl (532.7 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20250902-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (267.0 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20250902-cp313-cp313-macosx_12_0_arm64.whl (202.2 MB view details)

Uploaded CPython 3.13macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20250902-cp312-cp312-win_amd64.whl (330.3 MB view details)

Uploaded CPython 3.12Windows x86-64

tf_nightly-2.21.0.dev20250902-cp312-cp312-manylinux_2_27_x86_64.whl (532.6 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20250902-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (266.8 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20250902-cp312-cp312-macosx_12_0_arm64.whl (202.1 MB view details)

Uploaded CPython 3.12macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20250902-cp311-cp311-win_amd64.whl (330.2 MB view details)

Uploaded CPython 3.11Windows x86-64

tf_nightly-2.21.0.dev20250902-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (266.8 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20250902-cp311-cp311-macosx_12_0_arm64.whl (202.1 MB view details)

Uploaded CPython 3.11macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20250902-cp310-cp310-win_amd64.whl (330.0 MB view details)

Uploaded CPython 3.10Windows x86-64

tf_nightly-2.21.0.dev20250902-cp310-cp310-manylinux_2_27_x86_64.whl (532.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20250902-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (266.6 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20250902-cp39-cp39-win_amd64.whl (330.0 MB view details)

Uploaded CPython 3.9Windows x86-64

tf_nightly-2.21.0.dev20250902-cp39-cp39-manylinux_2_27_x86_64.whl (532.3 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20250902-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (266.6 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20250902-cp39-cp39-macosx_12_0_arm64.whl (201.9 MB view details)

Uploaded CPython 3.9macOS 12.0+ ARM64

File details

Details for the file tf_nightly-2.21.0.dev20250902-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250902-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 b4d5630281361e3d8af344c92a261ed7af6bf803baefeaae6eb80a0a290715c6
MD5 774ef2cafa74dec7061ebcf1487fcc7f
BLAKE2b-256 8db27cc202f709f3b922b65804c7b8d3f1c15531d847b33d81eb36040eae63c0

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250902-cp313-cp313-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250902-cp313-cp313-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 bdba8b47342f82645f37748e1fced4606ba3b1a87a056576d17c121f81ef4ad0
MD5 4d61c97f0f11bc033ba0e4205134406f
BLAKE2b-256 67db58bd5dbeeb40f2c48258ba28f2d820d44bcf87630611351b2d726812023f

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250902-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250902-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cf64d434644e6ffdeb820a0bc5307ce1e62b0e57b51c64a964832509cb5b9200
MD5 1347f4943cd7f16682221b8622b8ab31
BLAKE2b-256 a4fd29122cbe9b7c8068d12755e868efa7ea8cb8805ae27248cb296cf6a50d02

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250902-cp313-cp313-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250902-cp313-cp313-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 22bd745ae56a5d5a0f851c45f2f33370e0f887502983fdb128dee1dded39e71b
MD5 c2aa892a6256ea628f03b7b93dbcb346
BLAKE2b-256 9b3ff21c3ad36ba1fe18fdd36b3955e6e0ca6869e5594fde3f6d2887734668e4

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250902-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250902-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 19f319adcc4e026fd8bc96712eac080d564d0ccc81147e3364765d11b7ea75d5
MD5 8c8c75454fe28b6a889e975179c09343
BLAKE2b-256 99096fbf5ac87b91d43244e33f5b74a7381b8e56754aa10104bd8058bc33c16a

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250902-cp312-cp312-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250902-cp312-cp312-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 19b6d4fb04297e790214dc4879b46dc8f8943c8234af372217a7eaaf5e6cacbc
MD5 26ceaa69d468ed886b65731f12e9b4c6
BLAKE2b-256 7d80d5b5e850ba24698b3c2f333090ef31533e536edb2b5b8777b2facb2e10cd

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250902-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250902-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d973a619ba9cca04fed9abc03eb43177215f2c085bb5d7a652c084c7cf820b00
MD5 85ed27dfef9e24a70bc4e56a873c1f8b
BLAKE2b-256 bc1fc492aab2acfcb6e7d5e6369175f8c243eb74250454a9e4c6752ffed9af32

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250902-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250902-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 0ced93368e73e3fab0cf318d5cd34b08525fe4aced8dca639cab630a452958b8
MD5 8bfc36f1a7fbc9a77efc30b3483861e6
BLAKE2b-256 9bda962008cb3916b3b43f072184818fb36ce565aa847253021d3eea45b503e8

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250902-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250902-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 edd608f40da698f9be8ec875eb479db5c9873190a8967b3221b293b68f177160
MD5 b36e95aad32cb67bc1039a5a29d17865
BLAKE2b-256 f37b1417152ef1ffe886a63e6535b4d4cba7eb14ff3966d768a9b274104a2bed

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250902-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250902-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 efd4a22f5fb38a2ff1ba95d7c639a2b6445c62fb7d9734b12d0ffd79d46806f6
MD5 9cfbefe9f2b8d8c984b0fcffc32fb1d0
BLAKE2b-256 e26055ca91ab34d2d6dded8f6f9ec38ba99c8af9b0fca4d9e364400afd27dcd4

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250902-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250902-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 60b79fd743ddeb5e1082681bb471a640a1979b4370e5e6542e79e546ffbb43da
MD5 fc6e2203ac03047e46a83944319eb0cd
BLAKE2b-256 ba3ffb47a47ffa792261fab3e9dee4ce88bfa152f6484352fda414491b3b0ab6

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250902-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250902-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 dfea6bccb32db2e2becdb80df0d932dc5cdfc1035cb8bc7dca361cd1ef64209c
MD5 a4cb67df6bcf010ab34d5042eacbe028
BLAKE2b-256 4bf2e2b982ab6abe823eaf26f6be7454b6685ce88899d93e7413cbcf10f4b8ad

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250902-cp310-cp310-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250902-cp310-cp310-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 57ac296127dbb628d7d9607742adc1e72c0a26765e3087990f37165bbd86b215
MD5 7a75e6623f033a14602a93bb6a9d1133
BLAKE2b-256 63a24523af442bb9845a5dc6dfb8f76126b4c5a90e8c66a898b17d1cedbb7b93

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250902-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250902-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 3deb9521c83c4b9fd767e40376b81c3ac4a2db2cf180878e448bcd6d2a02637f
MD5 0883316525f88f176389bbe131e7d7ae
BLAKE2b-256 789b71a83b15416afbf16ff6a1642121a1b47ca9c6dc3845175639ceb18d4cd9

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250902-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250902-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 8f433982b968c76410c5c64ae8ae0e99c726f421494d9f5ee22b1a66f8926bd7
MD5 d8c2113d61db248e62416f67052be53e
BLAKE2b-256 e4f2455e08ae8ecf666aa9d71f336018d37bc3548858628da37dd430ce2db355

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250902-cp39-cp39-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250902-cp39-cp39-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 11c2ae1d5498ee243f6beef552f328159129b31b6fbce1c9fa5b49d3e9f3af39
MD5 bff44d0f6b5bfdbb4b4bd2b036498407
BLAKE2b-256 258cc86b8ba7ff3915a34087bed300a71d3bb55f4bbbfabf25ab0f6e86983432

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250902-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250902-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 14c86292e2c6b984950c9c1582139db0a38578fd348cfdf575aa2b52fb6343b7
MD5 f7c968c070783331d782cd919d457818
BLAKE2b-256 c76a7c37ecef5b54573b97d9e40a232c0b24c7f5c09b71a9c68223d8326d1bb3

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250902-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250902-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 366b94270864867be80a1f67bcb1b1fae28aa990661a67d023f6620124d5e91e
MD5 3a5f376fc97ffecb6bcf8fc5fca8695d
BLAKE2b-256 75ddd8a0f1d69da762495f120c7cb91e3dec1eb806b40871e35547b70a7d8e76

See more details on using hashes here.

Supported by

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