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.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

This version

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.dev20250829-cp313-cp313-win_amd64.whl (330.6 MB view details)

Uploaded CPython 3.13Windows x86-64

tf_nightly-2.21.0.dev20250829-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.dev20250829-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.dev20250829-cp313-cp313-macosx_12_0_arm64.whl (202.2 MB view details)

Uploaded CPython 3.13macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20250829-cp312-cp312-win_amd64.whl (330.5 MB view details)

Uploaded CPython 3.12Windows x86-64

tf_nightly-2.21.0.dev20250829-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.dev20250829-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.dev20250829-cp311-cp311-win_amd64.whl (330.5 MB view details)

Uploaded CPython 3.11Windows x86-64

tf_nightly-2.21.0.dev20250829-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.dev20250829-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.dev20250829-cp311-cp311-macosx_12_0_arm64.whl (202.1 MB view details)

Uploaded CPython 3.11macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20250829-cp310-cp310-win_amd64.whl (330.3 MB view details)

Uploaded CPython 3.10Windows x86-64

tf_nightly-2.21.0.dev20250829-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.dev20250829-cp310-cp310-macosx_12_0_arm64.whl (201.9 MB view details)

Uploaded CPython 3.10macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20250829-cp39-cp39-win_amd64.whl (330.3 MB view details)

Uploaded CPython 3.9Windows x86-64

tf_nightly-2.21.0.dev20250829-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.dev20250829-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.dev20250829-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.dev20250829-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250829-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 ef7d716dc9e643a2378fbe49b9ab7a2d9e5716bdb32e89599dbb12cf34474422
MD5 1cf6fac88d2902d77d7577a9e796c875
BLAKE2b-256 24f18eaa219cfc03878c3e05e7efbc7ff861af56a084a809b2b484563fd4597f

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250829-cp313-cp313-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250829-cp313-cp313-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 825b36cd717f03d6d2e6d5301a1c7a059f08bc830e75617b239eae497032a0cf
MD5 1734eaa43bbba13a4032d02b88ec5385
BLAKE2b-256 99e1cd957f331b0f149162531ce4404428f58bf775c82dc08649e4addd8fbd27

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250829-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250829-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 052d9bde4dbe2687d86d02250d37c6079f0984b964e4c1d0a895bc605b5b4886
MD5 45395dc18a54996b6efd47590c73c48c
BLAKE2b-256 4994fbe871b4b7892643f6949087888c2b77a5116a1e5cf9c0e277d8d2f7d6af

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250829-cp313-cp313-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250829-cp313-cp313-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 8f1dd921e4197bd68d1b67dbcbb1a188120c05cca1b1d7c634cbeb3721ba7139
MD5 c12bac01c51b99031a07aca89b756199
BLAKE2b-256 3d26db086948dda1a2311fd30363f6dfb320d08b5592ab843b9a5f45831cd43a

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250829-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250829-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 377518c7e18e3e7512d3a93946444c929d607dcfeaf85cbb757ecfe6d10c355b
MD5 40209a7b621ae681dc5b21284e5863f2
BLAKE2b-256 d5a049d996b3194d3bd9cee754067ca495eb2cdb02cdfd74ffd922887043b2db

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250829-cp312-cp312-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250829-cp312-cp312-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 85fd142a047d1203992e251a8cb6185c13629f8a7dddae2cb7d2eeb886eeecba
MD5 4c005a11e3346c2ae98727ee9036e1df
BLAKE2b-256 bc32db3e6621be72797eb2089e46fc6053e33d79cc52040ed0f4601916845ec3

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250829-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250829-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 baed1ece26baa1dbfabb332ffbcf68723625c1b9575167886136ba06abd1703e
MD5 6574cc11e474d1a33b90972af02aa9a6
BLAKE2b-256 8aea2389df77afc23da48d46dab7c27dd78cb79d90e3e9f44c2983551241df7d

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250829-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250829-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 fde2c47abf6cc542121747c07832e674a693611c9106ca425d907df672afdf5e
MD5 3b697efed4febe12b0cc5d5f8afc173a
BLAKE2b-256 7ad6ef6aa4bd50b8811f53c8ce2d4b46f4126d752a45a7b032f1fa143e18161c

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250829-cp311-cp311-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250829-cp311-cp311-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 3590f049703d093af3c79af15b2b180019b71abc8ef57d140cd54d8a3da0067e
MD5 8d936bf45e7c89b9fdee71a830ee6820
BLAKE2b-256 0cbfcac29b74b8f0467a038b1ee06711781c65255c6130ebf79b879cd666b031

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250829-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250829-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7133a5db8466eac0a42a57c2b0956b628be99239fe6357bd15196d8276ec3500
MD5 49fd2bf2d9795a138eda39c156254df9
BLAKE2b-256 abdf62eb5fa4493b98fb75764c53bfc041f38361cc41e264153abe4e901daae0

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250829-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250829-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 ec4d90154d45456e4f816048af26232d2e8cfcf9769eff5a3d4bea49ecf641cc
MD5 9971acd4af30ef182125934d1f7df726
BLAKE2b-256 9b27ac21582b6bee1146ae14331500a04849c2b66eb6d0c0950adb0908538e0f

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250829-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250829-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 bf16c205767a196049e0510b4147fb9e76d92558fa02aa38e7a344d18ecdcb8d
MD5 d7eefd61b61f2a1124a8e3a2def85cd5
BLAKE2b-256 25540bfe4eddf24860c0de69e4ea7d34c6fd6f45d2d24d19902d4cb2a4ccab05

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250829-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250829-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0c7cc26f13ed9693e9e9cce33ec5bf530ceb5448ac133fca25eda130fd891450
MD5 ac7d81050e32797391552d7781d219cf
BLAKE2b-256 7eb06c3ccba2cf79f3f596428ce8195db33016fd187e64949396e134355e2663

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250829-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250829-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 0938cc76528511d9285d81cbc1327035dcc74eb591d1bc40c0d2457c45bcb432
MD5 b07d5e411bfd22f9ba64eae961de4d90
BLAKE2b-256 87c4674b558e76347af88304444dca3c7a759983aecde7da2099d5cbd0fab483

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250829-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250829-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 c30156a3b393b2a5fb45ced0c653d1445cdb10a697dd0125c4e1e306d0ba8647
MD5 b974986bc14443f4ad4765ee8e846be1
BLAKE2b-256 79c73c703388743085012bf66cd4e1ab6349412b426e9ded59da39bb3e15d82e

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250829-cp39-cp39-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250829-cp39-cp39-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 01b166a136f74a69964ceb7ea8e79130b53e78667fc893e10d81cd8d0946fbba
MD5 61c3e695f1b26f28b899fda446a66c92
BLAKE2b-256 dd88c13829b9a341c3cbc4964e9c7110cf48830fe320c3da4ff4dc88f8d4071b

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250829-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250829-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 86b7686699959771178645b74f57e6da8d9c4498885c49e37a2e1a4907cf3f79
MD5 25705aeb02e0cfe2849e4a5c16be88c5
BLAKE2b-256 f50de967cc0df92b7147f7407b876a103a16c595f99a861a7ecca6e270e6a548

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250829-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250829-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 bd67a466c25b332535ace6cc551e4382098e172e63f68a6cb541522a543ac680
MD5 45e96db9bc8073fa6988359fb9ace01e
BLAKE2b-256 e69d7c6490f36e2a83b4827fb47cb0a9d13ceccfa33c535c7cab2117ddee1e24

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