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.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

This version

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

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.dev20250925-cp313-cp313-win_amd64.whl (342.9 MB view details)

Uploaded CPython 3.13Windows x86-64

tf_nightly-2.21.0.dev20250925-cp313-cp313-manylinux_2_27_x86_64.whl (556.5 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20250925-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (275.8 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20250925-cp313-cp313-macosx_12_0_arm64.whl (210.1 MB view details)

Uploaded CPython 3.13macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20250925-cp312-cp312-win_amd64.whl (342.6 MB view details)

Uploaded CPython 3.12Windows x86-64

tf_nightly-2.21.0.dev20250925-cp312-cp312-manylinux_2_27_x86_64.whl (556.3 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20250925-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (275.6 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20250925-cp312-cp312-macosx_12_0_arm64.whl (209.9 MB view details)

Uploaded CPython 3.12macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20250925-cp311-cp311-win_amd64.whl (342.5 MB view details)

Uploaded CPython 3.11Windows x86-64

tf_nightly-2.21.0.dev20250925-cp311-cp311-manylinux_2_27_x86_64.whl (556.1 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20250925-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (275.5 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20250925-cp311-cp311-macosx_12_0_arm64.whl (209.8 MB view details)

Uploaded CPython 3.11macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20250925-cp310-cp310-win_amd64.whl (342.3 MB view details)

Uploaded CPython 3.10Windows x86-64

tf_nightly-2.21.0.dev20250925-cp310-cp310-manylinux_2_27_x86_64.whl (555.9 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20250925-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (275.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20250925-cp310-cp310-macosx_12_0_arm64.whl (209.6 MB view details)

Uploaded CPython 3.10macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20250925-cp39-cp39-win_amd64.whl (342.3 MB view details)

Uploaded CPython 3.9Windows x86-64

tf_nightly-2.21.0.dev20250925-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (275.2 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20250925-cp39-cp39-macosx_12_0_arm64.whl (209.6 MB view details)

Uploaded CPython 3.9macOS 12.0+ ARM64

File details

Details for the file tf_nightly-2.21.0.dev20250925-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250925-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 461306bfc480462e9d554057d4ed05fad15fc931b15300f61cabfba7fff2e348
MD5 8e89cc1699e09c402feb56b1b4e61a81
BLAKE2b-256 d5045045acbcf8f988f4ef237209b9ed770c53dbb93578018fb19bcaa6424b7c

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250925-cp313-cp313-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250925-cp313-cp313-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 b52482278f25f5129a15d1617b8f984c3c79744ad8ab2c1dfea87975745b1733
MD5 e8e4ab1cb05a260d99ecbfffa12b1af2
BLAKE2b-256 ca5db41630c7e31f343e210a8fe63a51f6611ef213695588928abd47f7e34924

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250925-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250925-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7b0481916c1ff09093b715e48e20d196871913a6014edce80de826e59014291b
MD5 ab989bc57148f5c7545874dd158b7ab2
BLAKE2b-256 b65ae7ec186e2d0d6bee50d2e64ada6ae105390ac157abdcb3084bbe7328422a

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250925-cp313-cp313-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250925-cp313-cp313-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 fc2f8b5843c68c51ca3ec93ee7791919f264b0d49326bea8f718b9bd7379a159
MD5 d08e1a87410828d4c742ab48a678126d
BLAKE2b-256 99bbf82b7c4aabfcd52f5586fe434ec48eba4de32117dd802f8bd3908f35d59e

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250925-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250925-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 80739490c8b1897da795099d951b60977b55b81a689927d39bcf38bf2c97037e
MD5 b63b0e3a65cbaf3dcc7540659e170a60
BLAKE2b-256 54ad7c7e8b6b0c1319085d78117ec57d3c81d2f6b95556d0568b9eb0cce2b30e

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250925-cp312-cp312-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250925-cp312-cp312-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 188c29a79cacd944bfb5e930aac02e053de3c4f025420df1545ce6fa35d0345d
MD5 4cd109fff0178eb182f9ba0e5e3c95a7
BLAKE2b-256 bc94413d976c2cded703ebfa3300a1383dc95ac33027a227819d645cb2b49cff

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250925-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250925-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 21b0c29abad025515382486a36ab03418711df33b1d860f4f4fa111029fde692
MD5 49bbdb485bf0e855460d1f1540ef13d5
BLAKE2b-256 5fd23e41f656fd924a74a557a1116d421ca3e50c65722bd38c7df428edcd77ba

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250925-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250925-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 49be7a61b3ca26526d08920a465390f03450bda682cfc8544b55a7e3dd322a1a
MD5 3f8ce91df2c0ba2399c5010f2c059525
BLAKE2b-256 f6fb0b8162a5d5a6c8383453ab0e12b73b30e649c7db241b735000bf9c36d3d1

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250925-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250925-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 6fabe5d69babd6642eefcca500b79162138fc34e29fca9575735191746883c7a
MD5 3593d1edd1708a5f8dd563e6e061d75c
BLAKE2b-256 f9d67e2ff06fd9edb868b5b907e4e9b50e588c8974a9f9b6ea07b13ae8e6ef6b

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250925-cp311-cp311-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250925-cp311-cp311-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 cb358df6f5d6b58e76b7080ac6af646497d3f5085328908eb4efcd0da75921c3
MD5 0fb0343a464e11a64c662ed8d3e6812f
BLAKE2b-256 274fd88adb843e69ffbe523af2b4c8e62304c7abbf5a27eb05d4eaa6ea3d9290

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250925-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250925-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d92d32717d8e3758b727c0895efa4df4f0d288169cb95fd145e11bd48bbcb6ab
MD5 e7cde776686676b855b80d3ce2a1459a
BLAKE2b-256 efee499bd5933e31c61220bff362630204a34028d3540918817ad26fbe7d6200

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250925-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250925-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 57a5a28e7d63a21712fcbbe43454be3eefcb16691aca31241c9361116b20d939
MD5 a513f17efa57dab044ee406d3e896827
BLAKE2b-256 4f1a34984c65b48552638f4ba2324dcc7dd92900914124d881692275f7590bc8

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250925-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250925-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 658f1d11dd913d5a75eaa4642bdb61898970487371d48561ea14a9446cebc890
MD5 b8632b2526b95b29812c92d2c6aa2cb5
BLAKE2b-256 20ae80fa35946e3893e4bd20f32558dfb46a9c3421cd694086d20bbfd8a8780d

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250925-cp310-cp310-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250925-cp310-cp310-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 782458aa131bf3452d96ba99be85925e2aeb4303470b8448a70c57dd0eb033d1
MD5 5740e6c6662e6799ca87443d19c60e8b
BLAKE2b-256 bbe8c2b449482643875367a21aeb9d066dc596ea499e1f586eb6e1a504737c10

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250925-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250925-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 3c5f1ad35628b45d89208edcfec4caa721a44e0d5c512cd25eed7952c89b7316
MD5 fd51acdea8fc715a296f9cb039b9aef2
BLAKE2b-256 ef955a97d82d6e615f9e9e9b3394bc680e69c58acec737b2d286eb5bb553a6fc

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250925-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250925-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 fdbf2f317dfb8f7f226169cdee8ed1685b4e96fc20881552e8b2140e577057ca
MD5 c26c4c39cc2c4a4b23ec78f024f6309b
BLAKE2b-256 1687f182a275d9496c0038d4489b8f81bcb54f066ac1f349a871dfa656cc687a

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250925-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250925-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 08ccccf39b58cfd7d0e8674095e6748fe33fca11d0da64d79f59fd19940b4e24
MD5 36f0a338b61fcfadcfdaad5e592ed5c0
BLAKE2b-256 86db7e10f67ec1d5cee51cfc78b623272887c048e8148c2f892854726fa02d5d

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250925-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250925-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 370a6edf3a33901da4182d4bc3169c83acfa1ee611544e0cf394e3cfc1be4306
MD5 bfe43edf0c14cdc9ddb317311c8a1bf9
BLAKE2b-256 5cc361c6a487ecc9bef258cc73bf2c006a186aa66dff61a38b2d4e4b5def8d00

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250925-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250925-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 3abcc480a65780568c575af09e663d76c3580cdc9365aceb79084480b824cf9f
MD5 99fc01feb48f203580c7bedd07bebf9a
BLAKE2b-256 5227eaf4c50d1707254986de486c24551637a9c4323d93ccdd96b397a7dcada7

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