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.dev20260122 pre-release

2.21.0.dev20260121 pre-release

2.21.0.dev20260120 pre-release

2.21.0.dev20260119 pre-release

2.21.0.dev20260118 pre-release

2.21.0.dev20260117 pre-release

2.21.0.dev20260115 pre-release

2.21.0.dev20260113 pre-release

2.21.0.dev20260112 pre-release

2.21.0.dev20260111 pre-release

2.21.0.dev20260110 pre-release

2.21.0.dev20260109 pre-release

2.21.0.dev20260108 pre-release

2.21.0.dev20260107 pre-release

2.21.0.dev20260106 pre-release

2.21.0.dev20260105 pre-release

2.21.0.dev20260104 pre-release

2.21.0.dev20260103 pre-release

2.21.0.dev20260102 pre-release

2.21.0.dev20260101 pre-release

2.21.0.dev20251231 pre-release

2.21.0.dev20251230 pre-release

2.21.0.dev20251229 pre-release

2.21.0.dev20251228 pre-release

2.21.0.dev20251227 pre-release

2.21.0.dev20251225 pre-release

2.21.0.dev20251224 pre-release

2.21.0.dev20251223 pre-release

2.21.0.dev20251222 pre-release

2.21.0.dev20251221 pre-release

2.21.0.dev20251220 pre-release

2.21.0.dev20251219 pre-release

2.21.0.dev20251218 pre-release

2.21.0.dev20251217 pre-release

2.21.0.dev20251216 pre-release

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

This version

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

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.dev20251205-cp313-cp313-win_amd64.whl (348.1 MB view details)

Uploaded CPython 3.13Windows x86-64

tf_nightly-2.21.0.dev20251205-cp313-cp313-manylinux_2_27_x86_64.whl (573.2 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20251205-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (284.6 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20251205-cp313-cp313-macosx_12_0_arm64.whl (220.8 MB view details)

Uploaded CPython 3.13macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20251205-cp312-cp312-win_amd64.whl (347.8 MB view details)

Uploaded CPython 3.12Windows x86-64

tf_nightly-2.21.0.dev20251205-cp312-cp312-manylinux_2_27_x86_64.whl (573.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20251205-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (284.3 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20251205-cp312-cp312-macosx_12_0_arm64.whl (220.6 MB view details)

Uploaded CPython 3.12macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20251205-cp311-cp311-win_amd64.whl (347.7 MB view details)

Uploaded CPython 3.11Windows x86-64

tf_nightly-2.21.0.dev20251205-cp311-cp311-manylinux_2_27_x86_64.whl (572.8 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20251205-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (284.2 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20251205-cp311-cp311-macosx_12_0_arm64.whl (220.5 MB view details)

Uploaded CPython 3.11macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20251205-cp310-cp310-win_amd64.whl (347.5 MB view details)

Uploaded CPython 3.10Windows x86-64

tf_nightly-2.21.0.dev20251205-cp310-cp310-manylinux_2_27_x86_64.whl (572.6 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20251205-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (284.0 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20251205-cp310-cp310-macosx_12_0_arm64.whl (220.3 MB view details)

Uploaded CPython 3.10macOS 12.0+ ARM64

File details

Details for the file tf_nightly-2.21.0.dev20251205-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251205-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 547fc432950b018c15f6fe83114bc432f35312a20e30ea668596d90b87732e03
MD5 7908a306d6dc5b20ddbf8d87cede2dee
BLAKE2b-256 4d6ac41f049b6a15fb9378640c01c6413b24ceea0cc0520ceb9606bfe17e7156

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251205-cp313-cp313-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251205-cp313-cp313-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 ededa2c1a8da0e4857163fdf1e70049a006d980067ac8b2c420c78156049c24f
MD5 ed4ee1c307ed22db32826ea2e5ec7ed7
BLAKE2b-256 bd61395a5425baaa56e73dbec46fa1ed5aada293c0d2e975d55db487300a6b3b

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251205-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251205-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c8d7ebd92e2f4842168544b3d02536318de90f0198f054435cc844e3680f1af1
MD5 b38f14994036504b7cbdd58ab842e4e8
BLAKE2b-256 9e3165f2e69ca6b378e91d8556b637e1c5011f4cb6c740d09dd90b768bb9f59d

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251205-cp313-cp313-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251205-cp313-cp313-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 33b14265b1fecaa00a4d5f20cbd3dc9bd4c679c4d027ae55cdea9dc1ad374e0a
MD5 c381160d34910947057bba9f205772b1
BLAKE2b-256 945f30bd80384569acecb02ffb9f24037453fc14be489163b72018a6325a8c52

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251205-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251205-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 ec1185642870db54fb923b2a6a7bfcc34014d70cc2658ca23fc20a8fccbfe3c2
MD5 1b0f148336ad5335aade9d92d238e14d
BLAKE2b-256 e5d0fc40a204ad4de967764af6d583cbc1369a764a95980855f806635e92e590

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251205-cp312-cp312-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251205-cp312-cp312-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 32126915724a57e4745fc20c7a3114e89f63764d7a7dacf0dad510cf916ec80a
MD5 a30e3f69b423ed76593c89b8b2cbab6d
BLAKE2b-256 fde44e8a70d869e83fe91cbe0713ee730cee4811644ea6dfc4747e96ecaca0a5

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251205-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251205-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 fd280636552eea2b405d3d81fa02478853b43567f6eeaff82065fd4807779755
MD5 6317a4427d32727e9566288d59799b2f
BLAKE2b-256 5111881d86ea5873990578a2ba909390b13dd13f93903b0aa3b51e6cdd9cb1cf

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251205-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251205-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 99f472ac8b587d253776ea90adc3fac0af43c49502878541dc049cdc5a796804
MD5 24229eaad9271b0eeeb679fe7f097a0c
BLAKE2b-256 ee27288ce687f38ce4265f71128762afa5321715e2cabc69c225759ecd787650

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251205-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251205-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 ab584aa1ca49c89a2efe5f99665445f0cddf83d4caeac98f04f000d15d45c600
MD5 959ac977607082cfa50e3c3b3d097bf7
BLAKE2b-256 b50f17aa1040bdfdc48d88424ae85d1b4680c158201ac9951be9880244b623d8

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251205-cp311-cp311-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251205-cp311-cp311-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 93afff19d43664124d2d8b4da0c3a4558ca89f38b224c5066f28d5637f6cb5fe
MD5 eafa630f5d87ae11b46befab95cde930
BLAKE2b-256 b1b36f3eb4390cc5d6772f80c05904bfb83d2a4ef4ebb41892e03d0c23f54266

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251205-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251205-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c83ce6aaa2143701f940433cfd1e2283e1faddf914a15d62ea55b27049db8cfa
MD5 f48dbfde3af86b0c558eae006375d7be
BLAKE2b-256 b5b2cd4fc1ba7a4956df76742753d244f7bdac928ad829e70eb0c4d2b0dcbca1

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251205-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251205-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 b8fdc71d8e8c10a83bc045546cd0b1464932dcfe995b9ed465a26c1a53ea2021
MD5 bd82176a38d12e6e92be22f6af263edb
BLAKE2b-256 a6ee26fdec2451b665c9c54fb89687eab2754fb0c318d795ccbb06345aba447a

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251205-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251205-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 b842d1d4598ece89a5ea0c9911efdab98ef0d86949cf94e7d795347bd9d788f2
MD5 003c89ebb1ba4c0445cb7be103f133b3
BLAKE2b-256 d15cafdf752dce3ee27d8d1a823f19b2568cfd69d9c7426ee54c1fb3b9280f30

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251205-cp310-cp310-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251205-cp310-cp310-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 25b08ce3ae7473c28c93178a65660d2254ed944bf56efb8c04ffacc0cb27be1c
MD5 42718882c6c2d6fc98c6f51966afcfc9
BLAKE2b-256 aa6cf72cc7d0558cf4b8cac3bfd53fe40ecbbd74f8677995676c5b16bfc47dad

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251205-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251205-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e0bf506363b5bbe9969ec6eb5bb9fe667916a54b91ca716786487d01754c4911
MD5 44f53a5acf3ca4379c30e7262a892b9b
BLAKE2b-256 4aae7efaf1a616d2ae4eb6da0b5c7e1f25995a6a5bf9f233ead9e8ae6fa49803

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251205-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251205-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 ea089d785d2f91c6a0bdb2708ee433f83f00d344aa1848a28e507e1da3bea215
MD5 b8e2c521cb3aa73ef97211830ce2469b
BLAKE2b-256 78a22a6bd6b021b2956c89ca2fffa396fb7395b5ff909948aff978e72f903d29

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