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

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

This version

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.dev20251116-cp313-cp313-win_amd64.whl (346.6 MB view details)

Uploaded CPython 3.13Windows x86-64

tf_nightly-2.21.0.dev20251116-cp313-cp313-manylinux_2_27_x86_64.whl (564.5 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20251116-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (282.1 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20251116-cp313-cp313-macosx_12_0_arm64.whl (218.7 MB view details)

Uploaded CPython 3.13macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20251116-cp312-cp312-win_amd64.whl (346.3 MB view details)

Uploaded CPython 3.12Windows x86-64

tf_nightly-2.21.0.dev20251116-cp312-cp312-manylinux_2_27_x86_64.whl (564.2 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20251116-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (281.9 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20251116-cp312-cp312-macosx_12_0_arm64.whl (218.5 MB view details)

Uploaded CPython 3.12macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20251116-cp311-cp311-win_amd64.whl (346.2 MB view details)

Uploaded CPython 3.11Windows x86-64

tf_nightly-2.21.0.dev20251116-cp311-cp311-manylinux_2_27_x86_64.whl (564.0 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20251116-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (281.7 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20251116-cp311-cp311-macosx_12_0_arm64.whl (218.3 MB view details)

Uploaded CPython 3.11macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20251116-cp310-cp310-win_amd64.whl (346.0 MB view details)

Uploaded CPython 3.10Windows x86-64

tf_nightly-2.21.0.dev20251116-cp310-cp310-manylinux_2_27_x86_64.whl (563.8 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.27+ x86-64

tf_nightly-2.21.0.dev20251116-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (281.5 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20251116-cp310-cp310-macosx_12_0_arm64.whl (218.2 MB view details)

Uploaded CPython 3.10macOS 12.0+ ARM64

File details

Details for the file tf_nightly-2.21.0.dev20251116-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251116-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 040e13370c9fcb9f2426c009c9fb31b463e337bf7aa7b3af22786acfae306fcd
MD5 3e8875163dbeb96b01b65c19b7be806c
BLAKE2b-256 2a5e84b375d8c24dbfc48d603462ac4160fa0941b928da960a46f8d692ed51f5

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251116-cp313-cp313-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251116-cp313-cp313-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 34e771a61e09f93c7d93f580802eb9d447f4fc9ed8c348c789406b80957b89b4
MD5 9213fcde0ddb8b863b9c7324870b43a8
BLAKE2b-256 7e578664d16732c76dd43cccc0e17f8f530426b65022e9360a983855c17718aa

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251116-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251116-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ea798f4a3d4c78d605e71db62cf346901bfbd3e254d93c50f03f37ea99125feb
MD5 93174af17b1ccc5ee16f13a5742b014c
BLAKE2b-256 40f2c9a26f4a211dc7c8413e341e4f3c3c75481fcca7a3082e8ab3181d6ba462

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251116-cp313-cp313-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251116-cp313-cp313-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 1ef10bb2ac434a8f469f3babb45900fa55a4d18dfeb43250b45a2764096e190d
MD5 b2b502ffe8e1cde51c5d43e54afcd793
BLAKE2b-256 3b65796747ccd773f8d12d94e64cd9470dfeace5050be98f79d159105f1150ef

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251116-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251116-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 56e41ab92ea198414f1e7f8fc42704f92f51d8a9f8e6fafd5dc70a5f8867dd8a
MD5 f9fbe7ff03de36c1b42cd283461c0091
BLAKE2b-256 69dea387e77d7682701aed9c80bfa1655168d4deb805dfbafcd043d8f0e1bcb9

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251116-cp312-cp312-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251116-cp312-cp312-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 c7a759b065789bbc4183d1faaa1adbe7f3f6776c15c66f49b826e3dbfbf60490
MD5 43d73b645801e11b9c8b0be4ee4a63bf
BLAKE2b-256 215424623792a9794fd5f7f6f51dfa1e3c27ea129ba3c0249e724cd4abe76ce1

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251116-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251116-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7fe002aa81103fffa50c1437be2a1da53354fde48f75e355edce44bdc6485b2b
MD5 e4f51d79718fc19f0f25cdf18c358d90
BLAKE2b-256 2f76aeba77fb93a540b1412f3d6264e665d4952cdbecc6c60d6980635ee813f6

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251116-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251116-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 928016be7f451a1b48df579d8b6427394a551472e3547f4cc1533e105deec28e
MD5 e359a3bb8cecd9de426c98971bf8168d
BLAKE2b-256 1d674e4ee921a82542a42e4db3fca4c979b000956a7da8dd964a40f750fecc5c

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251116-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251116-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 380016628c0690abf702a299ce7dcdbca8d4d20c94b813d006a418386fae660d
MD5 ece394b70599a324ed439384dd608f3a
BLAKE2b-256 a4e88ac2ddd44564c4efbdf4a1025943e40de316000c0472399a7f57c15d02cf

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251116-cp311-cp311-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251116-cp311-cp311-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 01f3aaec771c9d420a2362b3c0ee3a616fd4875e0ee1ba670f48d8ab8a8b355e
MD5 d19a5cdb9b7958dbd5454cc2ad46ba53
BLAKE2b-256 c30c0e9485b268ae43bf4f5bb5817862e708f686a29a86f436094ef7ee7eb24c

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251116-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251116-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d8b6a4d06a992a1cb8d55cbc979e71994aa2e8a400e800bbceef0727beb05a70
MD5 d4084594979abcab86eb13fbb37bc29c
BLAKE2b-256 c232c9adaf8a766acaa6627d1c70719db2e54df6f0fd1bcec3cf7f1bd8e353b0

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251116-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251116-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 ce308b1d32443dcdd8d7d84ff1ef670e3eab2a3b01a432536401aab92df7f7ad
MD5 b9bbdd6a39382b20b2f8aed83efdd28d
BLAKE2b-256 974f1c99c51163024d7f442e7fba7278f735582178c968c528d4b461ff61ea2c

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251116-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251116-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 5ea78d8e4a2ae130a9153120d3968ccc1fb8cb8f26f0b05813ccf8c9c57e4a08
MD5 f4326c5eb9a852c32358b8dfe046af1e
BLAKE2b-256 37b34dd67bcd16887dc945fb759120ef7c475617f0ce66b9a547a18258c7e983

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251116-cp310-cp310-manylinux_2_27_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251116-cp310-cp310-manylinux_2_27_x86_64.whl
Algorithm Hash digest
SHA256 02575d27b43d15f6bfdfb19f1e42891cec55f5f7f38d7024c0de3c6af3a78ce0
MD5 534be6f54ca5f399eb7dc157b57d4069
BLAKE2b-256 3121afe3eac4235bc508c9fd5e2c4e9e1de39a4e713c6f0b8d3097587131f01c

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251116-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251116-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 258aa8025875c52bb02042cd9dfb4178cf063f20b3c335b116e0b426ada151ac
MD5 2fa139150adba922289b7f5c0b6baf01
BLAKE2b-256 0de4dba0e0ab12b7265ab48e15b69e348eea4fe44c1d681a0979d855a83dc422

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20251116-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20251116-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 b7d408280287066d3d25c83a9a9c1bf2ad1444f331ff3066e61763f050b87e98
MD5 6172d45fbc9a8e0ab4d82f77a8b5bdf7
BLAKE2b-256 9d64c8ad4f787030576b6b423a247f58a109d3a737c0e255f3bbbcf5aabb53ee

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