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.dev20251215 pre-release

2.21.0.dev20251214 pre-release

2.21.0.dev20251213 pre-release

2.21.0.dev20251212 pre-release

2.21.0.dev20251211 pre-release

2.21.0.dev20251210 pre-release

2.21.0.dev20251208 pre-release

2.21.0.dev20251207 pre-release

2.21.0.dev20251206 pre-release

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

2.21.0.dev20250902 pre-release

2.21.0.dev20250829 pre-release

This version

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.dev20250827-cp313-cp313-win_amd64.whl (330.6 MB view details)

Uploaded CPython 3.13Windows x86-64

tf_nightly-2.21.0.dev20250827-cp313-cp313-manylinux_2_27_x86_64.whl (532.6 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20250827-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (266.9 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20250827-cp313-cp313-macosx_12_0_arm64.whl (202.2 MB view details)

Uploaded CPython 3.13macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20250827-cp312-cp312-win_amd64.whl (330.5 MB view details)

Uploaded CPython 3.12Windows x86-64

tf_nightly-2.21.0.dev20250827-cp312-cp312-manylinux_2_27_x86_64.whl (532.5 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20250827-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.dev20250827-cp312-cp312-macosx_12_0_arm64.whl (202.1 MB view details)

Uploaded CPython 3.12macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20250827-cp311-cp311-win_amd64.whl (330.5 MB view details)

Uploaded CPython 3.11Windows x86-64

tf_nightly-2.21.0.dev20250827-cp311-cp311-manylinux_2_27_x86_64.whl (532.4 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20250827-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (266.7 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20250827-cp311-cp311-macosx_12_0_arm64.whl (202.0 MB view details)

Uploaded CPython 3.11macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20250827-cp310-cp310-win_amd64.whl (330.3 MB view details)

Uploaded CPython 3.10Windows x86-64

tf_nightly-2.21.0.dev20250827-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.dev20250827-cp310-cp310-macosx_12_0_arm64.whl (201.9 MB view details)

Uploaded CPython 3.10macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20250827-cp39-cp39-win_amd64.whl (330.3 MB view details)

Uploaded CPython 3.9Windows x86-64

tf_nightly-2.21.0.dev20250827-cp39-cp39-manylinux_2_27_x86_64.whl (532.2 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20250827-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.dev20250827-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.dev20250827-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250827-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 cfc936333e9e61eb54e48e4f8b5aa7f4b992506619d5ca5d62fb184dbf004d0c
MD5 8776483fbc0c53a2c3327800bd5e3b8c
BLAKE2b-256 40904f219343b7a3c64cfffdd8e14dfa247072d5052b1b021e004231441e7ab0

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250827-cp313-cp313-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250827-cp313-cp313-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 f2fcec3e1515d8c237525ed5eb8dc7c4dec1b1e00137b08ed153a7aa4ac8f1cb
MD5 74c5ab3651378e5aa92c01eb1cf160a9
BLAKE2b-256 73801d871f74d84b6a9c4f4ed491c36eb7566b72f5c23de5feb1ed74b6765afe

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250827-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250827-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f6f755a1d75983b05fe5ae0193e3d53f3c3097c1710be7c596dd90c57c8931c7
MD5 25e0be76fad8587a916432b484fc1381
BLAKE2b-256 5d21e3e618cf38beadc2d03c405a4673cf51989cab41df0bb9e98dc1bd73920c

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250827-cp313-cp313-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250827-cp313-cp313-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 d584dd3d8efcbad8d0ca7bf431019dcb3561dc3592ccab27ccbbf003b1f3f78e
MD5 6501909820af6d19b5fbdbcf016a335c
BLAKE2b-256 888aa8cefa529bdc98a739d3bb460306f5a1a2ccbec0359c272a139c44efb454

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250827-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250827-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 f50981410dc5c07ac8b28521312368320a3232bee625ba0f93e61873893158ba
MD5 8b6f13ab37b96ae1ef5c24ffa0036646
BLAKE2b-256 d462ed52207f7c5a1b433628884d51a0ea2f7a12f34da6d610bcbfd19510833d

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250827-cp312-cp312-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250827-cp312-cp312-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 bddcd5b4388983f909aa2d8b06229fc15e9dbaee0f7da1d7af8c27d4b865f55c
MD5 bf01098d82223ab21494df4fade36e2f
BLAKE2b-256 e94fb8443c92577a9cc661f5e2f39a2a90cd9193a8ffee9cff6cb0baf1606c83

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250827-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250827-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 49680d8100c5a3225f32acfc50fd1f596bc59ff9b1672d3d781837192fe5eadd
MD5 23845e03abc4519fba2337df5e9a466a
BLAKE2b-256 8609c10a8dc392e390404fdfb69f219a1a025d70602253b5099d261076b3f80c

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250827-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250827-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 f22fb8ee4c5e4295ab39d6a5de423d7a3e89ed2d386e7c4c77779c70f6267565
MD5 76b139340510f4ffc0e3ea957ce12b09
BLAKE2b-256 91589762f5693d71ba936867e2a1ee33168f6f02c2a3385807c5a3f4c80f9972

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250827-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250827-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 6835fad187e0563ce5959f230e1960b6e1cde5f56ec0a6acf8316d3490f3b09f
MD5 774afbd863963654ed86ff5a91f5a110
BLAKE2b-256 a70c29a63b347926696fee2dbe6410a04df0e09e0a339ec454ba0d454ffd0d06

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250827-cp311-cp311-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250827-cp311-cp311-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 a8ead2f9a259e819a85ef1d0cc54073902ca698eadb38d6f5e9cc8f2f33af069
MD5 cc2fa1fb562291f06346bb76a6b9c467
BLAKE2b-256 05cfde39b18753769de2a1988aa89bed6d7557cec50fa0ee3d7d9f6f850b209b

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250827-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250827-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6b7b22bb1d926790bf3877749b02104c3af5ededef4e4d178370d19185c445c7
MD5 41f591dc53b1d5823e377f469ef38614
BLAKE2b-256 76711004c39b797736a8de321223cc19b55ad8def03b48d222588e4cfd90d4b9

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250827-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250827-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 6fe7033af8d0fc2496180220d2abb74d58a95ce46d6faeacefe7a378982654a8
MD5 55a1623442c98474a02fd820f2d5bdfe
BLAKE2b-256 8f89ce08033ec11fd14bd4bf5febb8b885dc6175343cd5152dc99089674106d0

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250827-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250827-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 ab06da0613da0c18b012e9a0aa94e6279eb8d9d776e86a61c9b39b14764c4309
MD5 6a943808abaa334b5b31795211d63b94
BLAKE2b-256 8a4797d189373b48addd8a5e87ec6839ffa01e37d6d07ad253ce09dc8c51c3db

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250827-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250827-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ed4528551aab5d2b2757a817179c63b3ac642ae2bf59e41f1c8df8a7fef87beb
MD5 1eae1fab7b37e56b92bdf5a8a6077d43
BLAKE2b-256 b818a0a6c543682ddbd61d20303fe331881f7cee66d1df5c3bf2343d0e820d7f

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250827-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250827-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 eba1e9d3f60756542d2964b1930dd15f22b74cdc76106f1b5713fbe60553474f
MD5 40f5c6bd84e2ef27c39479d600c463f6
BLAKE2b-256 ba8e145c10d31a7e4a2562cbfb295689a0faeec2fbf92b30edd53b744ff52c66

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250827-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250827-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 cab4d9d05e756f6d725266a0623cbdce39c8bfe3eaa05359b3e00225488b15d2
MD5 64e89d3e65964e7e551f3620368f3dbb
BLAKE2b-256 067f2682f1cca30efe24b04fff2ba3f9e453d0401b5eb5a10be859c120ace91b

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250827-cp39-cp39-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250827-cp39-cp39-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 cf4d9cb4506f3a07d3b432b3fa1a6b79eb577a7cdfbcf90ffa7931cd0ac18273
MD5 efa98f9df8bfd5aef5e9ab539894112b
BLAKE2b-256 eab3f194c541d74180839134341167d6c94bfc30c3781af69ae3bd4b189dc984

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250827-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250827-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0fe17e92c5ca386ea776f85348b84d219921c0ba6223e2ff17b2b9c6cac952a9
MD5 4beecc1b10a6e22249f657bf15faf9a3
BLAKE2b-256 9e81f57b383ee24cf4e8d95e58c195d63d91099a7b83b5949b72d2a88c3af28a

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250827-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250827-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 6705d9410789051731769467f58243b43b69dfd6f58d51486c2bbfaec04cf79f
MD5 bc48605d89bde46b73d956bb71845f5e
BLAKE2b-256 02b522e51b47dacdb2478303f25b39c748642dc257a51dff4e0b337ffb005139

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