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

This version

2.21.0.dev20250813 pre-release

2.21.0.dev20250812 pre-release

2.21.0.dev20250801 pre-release

2.21.0.dev20250729 pre-release

2.21.0.dev20250728 pre-release

2.21.0.dev20250722 pre-release

2.21.0.dev20250721 pre-release

2.21.0.dev20250718 pre-release

2.20.0.dev20250716 pre-release

2.20.0.dev20250715 pre-release

2.20.0.dev20250711 pre-release

2.20.0.dev20250708 pre-release

2.20.0.dev20250707 pre-release

2.20.0.dev20250706 pre-release

2.20.0.dev20250705 pre-release

2.20.0.dev20250704 pre-release

2.20.0.dev20250703 pre-release

2.20.0.dev20250702 pre-release

2.20.0.dev20250626 pre-release

2.20.0.dev20250623 pre-release

2.20.0.dev20250619 pre-release

2.20.0.dev20250616 pre-release

2.20.0.dev20250609 pre-release

2.20.0.dev20250608 pre-release

2.20.0.dev20250607 pre-release

2.20.0.dev20250606 pre-release

2.20.0.dev20250605 pre-release

2.20.0.dev20250604 pre-release

2.20.0.dev20250602 pre-release

2.20.0.dev20250530 pre-release

2.20.0.dev20250526 pre-release

2.20.0.dev20250516 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

tf_nightly-2.21.0.dev20250813-cp313-cp313-win_amd64.whl (330.4 MB view details)

Uploaded CPython 3.13Windows x86-64

tf_nightly-2.21.0.dev20250813-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (261.8 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20250813-cp313-cp313-macosx_12_0_arm64.whl (201.8 MB view details)

Uploaded CPython 3.13macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20250813-cp312-cp312-win_amd64.whl (330.2 MB view details)

Uploaded CPython 3.12Windows x86-64

tf_nightly-2.21.0.dev20250813-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (261.7 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20250813-cp312-cp312-macosx_12_0_arm64.whl (201.7 MB view details)

Uploaded CPython 3.12macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20250813-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (261.6 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20250813-cp311-cp311-macosx_12_0_arm64.whl (201.6 MB view details)

Uploaded CPython 3.11macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20250813-cp310-cp310-win_amd64.whl (330.0 MB view details)

Uploaded CPython 3.10Windows x86-64

tf_nightly-2.21.0.dev20250813-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (261.5 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20250813-cp310-cp310-macosx_12_0_arm64.whl (201.5 MB view details)

Uploaded CPython 3.10macOS 12.0+ ARM64

tf_nightly-2.21.0.dev20250813-cp39-cp39-win_amd64.whl (330.0 MB view details)

Uploaded CPython 3.9Windows x86-64

tf_nightly-2.21.0.dev20250813-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (261.5 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

tf_nightly-2.21.0.dev20250813-cp39-cp39-macosx_12_0_arm64.whl (201.5 MB view details)

Uploaded CPython 3.9macOS 12.0+ ARM64

File details

Details for the file tf_nightly-2.21.0.dev20250813-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250813-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 ede57ac157280dbb05f4dd84bdb66a1b982190231d309c5f347a8e0bf3e67a92
MD5 d59dd848aa3bf2f711e91bcacb58b740
BLAKE2b-256 0c6ecb76baf08b168e7e2bdff41fedf3af567524ec8ae7e02b14cb3a58a9cdac

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250813-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250813-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ff80cfcc1bb40e15f8a82f2ef8e486f6a25242f47540984f28d82d37dd7c21db
MD5 8d8253bbda0bcaa13bd20624a97f7fbf
BLAKE2b-256 1f9f6e097c16cd795ffc8aa40208623eede2e765fe4677a80fbc7cdbbfafa459

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250813-cp313-cp313-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250813-cp313-cp313-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 2b7f94646220ada4483fe3f0128b160107406cd2de4403c63144c774f0f62d74
MD5 1b86a1ae8d400ba31c24dd14f35f83b2
BLAKE2b-256 8b250e61457ea61984e273defe4e7a2c10b7282b123069c679755e5b21dfc506

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250813-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250813-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 79e6449e55657ce13624d4f8bfc5d453e9183b55f88a9fef06075dee6054d9dd
MD5 207b09d8108d90026a1dff622ff43cda
BLAKE2b-256 bf17cb1ad498b80341a6dda6b416a5be62d480d702484dc545ef182989c2d3c1

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250813-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250813-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a5e27db31e1a3898423a2b1c651af36aec9b6781741e2b41d6647ea0b33ecdda
MD5 512753880a1be305a409440db12af8f2
BLAKE2b-256 627718cb9732493a49990d3e4b46560ec80079cc6cf292801499c0287f67096f

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250813-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250813-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 86ed2ac6bb992549c5237ecd8341edcb7136c51f35d37fb58c4bee1a86143a88
MD5 77ef47e253daabf560d6c2452bb94615
BLAKE2b-256 71e53675a829c1557fe97ed1631407a409e7de1aa48df487d3a029713fd57591

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250813-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250813-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 316c2e775b7d3a676aa733a83f9826248ebbb87831aaa63d64b314b78a95814e
MD5 f90afe2aa62b3c75c90193b6705289ba
BLAKE2b-256 abb4de73dcf472ba76d435c6f8bda3a6bae8ec7b1ef1d2ea537d012287bade35

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250813-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250813-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 73be5ec4ea8e0ce8245a0f24217aa37be94a58c8d269da6018ee7c2738c76dee
MD5 86106c63b4e4ab75df2371fb328454e8
BLAKE2b-256 47af03a19fa947c94dac1caa9cf6a8fb411d1563827e48303d9e393429605acf

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250813-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250813-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 a301644c6a46d92c448b1c8fd6bc3b51f22b1053955b22cc046833693abf0b14
MD5 8dc527481761111e6d6ad592676d424b
BLAKE2b-256 82ae377bfed8eb2881da3ea9f46961b2959a4412cdeb2457a76ec4fd67eaa4a3

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250813-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250813-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 88e9919cfd2440b33c96986d8dd721a0c77497365d7877debb862ceeb9e67310
MD5 1dfd2a6aabeb257003cafc4353d24d38
BLAKE2b-256 e5d23379ecfb6c52399cff37c99a04d500f4405c786808747a8b4297bc64ccbd

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250813-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250813-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 0a59e241f4a031d691f9d8cc413740d260680fbe0b597edca901500f9f036472
MD5 848f13ba1e5aca58c5578207d7e69f1c
BLAKE2b-256 2aaede66d8ac8e3aa1d37df5251fd6ff1de10c24de728fe7ab7d62afb2f37f39

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250813-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250813-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 714b3b5beef0b93d3a1a5071a203a1a5295692e8a4f203fccbd21acf77fa46dc
MD5 196b214443fd6d28fa1bebcfa185994d
BLAKE2b-256 34dc9b793a743edc08048d0f3762907318f5c9a232838357a909e4fc84f90069

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250813-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250813-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d21481036a12a1db412c3c69c44d35ac815b3f0b789e621566cde13ac97ecf3b
MD5 e27a592136e1000290a083db0c177080
BLAKE2b-256 a202280f42c18018443e915bfcb84c77bccd4997e9290100af6b2363b376f559

See more details on using hashes here.

File details

Details for the file tf_nightly-2.21.0.dev20250813-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for tf_nightly-2.21.0.dev20250813-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 2022c1e3d8855db7f19843111139afa0bb3c422087d37dbf3977e4f6402a15b2
MD5 d2013c204cf23a79cb4552c52cd4b8cd
BLAKE2b-256 c5023392ba936a9b3965ce34b18f3cc250635c0543dc6f6140809a88b70f535e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page