Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

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.

Release files for tf-nightly 2.22.0.dev20260912

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for tf-nightly 2.22.0.dev20260912
File Actions
tf_nightly-2.22.0.dev20260912-cp314-cp314-win_amd64.whl CPython 3.14 CPython 3.14 Windows x86-64 Details for tf_nightly-2.22.0.dev20260912-cp314-cp314-win_amd64.whl
tf_nightly-2.22.0.dev20260912-cp314-cp314-manylinux_2_27_x86_64.whl CPython 3.14 CPython 3.14 Linux glibc 2.27+ x86-64 Details for tf_nightly-2.22.0.dev20260912-cp314-cp314-manylinux_2_27_x86_64.whl
tf_nightly-2.22.0.dev20260912-cp314-cp314-manylinux_2_27_aarch64.whl CPython 3.14 CPython 3.14 Linux glibc 2.27+ ARM64 Details for tf_nightly-2.22.0.dev20260912-cp314-cp314-manylinux_2_27_aarch64.whl
tf_nightly-2.22.0.dev20260912-cp313-cp313-win_amd64.whl CPython 3.13 CPython 3.13 Windows x86-64 Details for tf_nightly-2.22.0.dev20260912-cp313-cp313-win_amd64.whl
tf_nightly-2.22.0.dev20260912-cp313-cp313-manylinux_2_27_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.27+ x86-64 Details for tf_nightly-2.22.0.dev20260912-cp313-cp313-manylinux_2_27_x86_64.whl
tf_nightly-2.22.0.dev20260912-cp313-cp313-manylinux_2_27_aarch64.whl CPython 3.13 CPython 3.13 Linux glibc 2.27+ ARM64 Details for tf_nightly-2.22.0.dev20260912-cp313-cp313-manylinux_2_27_aarch64.whl
tf_nightly-2.22.0.dev20260912-cp313-cp313-macosx_12_0_arm64.whl CPython 3.13 CPython 3.13 macOS 12.0+ ARM64 Details for tf_nightly-2.22.0.dev20260912-cp313-cp313-macosx_12_0_arm64.whl
tf_nightly-2.22.0.dev20260912-cp312-cp312-win_amd64.whl CPython 3.12 CPython 3.12 Windows x86-64 Details for tf_nightly-2.22.0.dev20260912-cp312-cp312-win_amd64.whl
tf_nightly-2.22.0.dev20260912-cp312-cp312-manylinux_2_27_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.27+ x86-64 Details for tf_nightly-2.22.0.dev20260912-cp312-cp312-manylinux_2_27_x86_64.whl
tf_nightly-2.22.0.dev20260912-cp312-cp312-manylinux_2_27_aarch64.whl CPython 3.12 CPython 3.12 Linux glibc 2.27+ ARM64 Details for tf_nightly-2.22.0.dev20260912-cp312-cp312-manylinux_2_27_aarch64.whl
tf_nightly-2.22.0.dev20260912-cp312-cp312-macosx_12_0_arm64.whl CPython 3.12 CPython 3.12 macOS 12.0+ ARM64 Details for tf_nightly-2.22.0.dev20260912-cp312-cp312-macosx_12_0_arm64.whl
tf_nightly-2.22.0.dev20260912-cp311-cp311-win_amd64.whl CPython 3.11 CPython 3.11 Windows x86-64 Details for tf_nightly-2.22.0.dev20260912-cp311-cp311-win_amd64.whl
tf_nightly-2.22.0.dev20260912-cp311-cp311-manylinux_2_27_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.27+ x86-64 Details for tf_nightly-2.22.0.dev20260912-cp311-cp311-manylinux_2_27_x86_64.whl
tf_nightly-2.22.0.dev20260912-cp311-cp311-manylinux_2_27_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.27+ ARM64 Details for tf_nightly-2.22.0.dev20260912-cp311-cp311-manylinux_2_27_aarch64.whl
tf_nightly-2.22.0.dev20260912-cp311-cp311-macosx_12_0_arm64.whl CPython 3.11 CPython 3.11 macOS 12.0+ ARM64 Details for tf_nightly-2.22.0.dev20260912-cp311-cp311-macosx_12_0_arm64.whl

Total release size: 6.0 GB

Release files / tf_nightly-2.22.0.dev20260912-cp314-cp314-win_amd64.whl

Download URL tf_nightly-2.22.0.dev20260912-cp314-cp314-win_amd64.whl
Size 384.1 MB
Tags CPython 3.14 Windows x86-64
SHA-256 checksum
How to use checksums
1a2e9c16e49f58d5eba855af7382f3cf67619c0b8f912f7890716bece18309ba
BLAKE2b-256 checksum
How to use checksums
2fbbd30d7df89be907dd4d4a25eba1bf0d21e346b0acf04662b7abc6ec985e8d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / tf_nightly-2.22.0.dev20260912-cp314-cp314-manylinux_2_27_x86_64.whl

Download URL tf_nightly-2.22.0.dev20260912-cp314-cp314-manylinux_2_27_x86_64.whl
Size 638.4 MB
Tags CPython 3.14 Linux glibc 2.27+ x86-64
SHA-256 checksum
How to use checksums
d610e896c93d4082d3509a63779b9e35fabbc425d25a4bfcafca00287d0baa9f
BLAKE2b-256 checksum
How to use checksums
aacaf50c6df390dc5a1145573539d543ad5d40870f080dd9bbae381847ee115a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / tf_nightly-2.22.0.dev20260912-cp314-cp314-manylinux_2_27_aarch64.whl

Download URL tf_nightly-2.22.0.dev20260912-cp314-cp314-manylinux_2_27_aarch64.whl
Size 304.5 MB
Tags CPython 3.14 Linux glibc 2.27+ ARM64
SHA-256 checksum
How to use checksums
29cee97c9369e1104e293f5be2c1fe3a5f160975ca567ebcbe31445e2be38be0
BLAKE2b-256 checksum
How to use checksums
0d0fa9ba3ef7130bf5a47a352f1844c9762492f0fade671d133d21c066bb2395
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / tf_nightly-2.22.0.dev20260912-cp313-cp313-win_amd64.whl

Download URL tf_nightly-2.22.0.dev20260912-cp313-cp313-win_amd64.whl
Size 376.5 MB
Tags CPython 3.13 Windows x86-64
SHA-256 checksum
How to use checksums
734fdb9e23c5c49a99c2dcacf974558bb1f581d10ab2c2e713505d6a6d3c0b85
BLAKE2b-256 checksum
How to use checksums
b159fd1f45f23616afe62120c88785b98e7dbc72d1849d5585962797847f0b79
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / tf_nightly-2.22.0.dev20260912-cp313-cp313-manylinux_2_27_x86_64.whl

Download URL tf_nightly-2.22.0.dev20260912-cp313-cp313-manylinux_2_27_x86_64.whl
Size 638.3 MB
Tags CPython 3.13 Linux glibc 2.27+ x86-64
SHA-256 checksum
How to use checksums
ef769008092909bdeba31d2b20dccf71446f148604e04fbf5c7378dec4a1deb9
BLAKE2b-256 checksum
How to use checksums
8001e593d8bdc77ffb26ba20b1014a0a2de6d1e261603182e1b644702808b6aa
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / tf_nightly-2.22.0.dev20260912-cp313-cp313-manylinux_2_27_aarch64.whl

Download URL tf_nightly-2.22.0.dev20260912-cp313-cp313-manylinux_2_27_aarch64.whl
Size 304.4 MB
Tags CPython 3.13 Linux glibc 2.27+ ARM64
SHA-256 checksum
How to use checksums
f42132f32250b8c5cd9f4e97d6c728e2a06802fc6b9e9e3a9aca900f93d20a47
BLAKE2b-256 checksum
How to use checksums
2b67766583edac4a52865f693e6a4199d7981d54ddf421e71b1e7b7df09a860d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / tf_nightly-2.22.0.dev20260912-cp313-cp313-macosx_12_0_arm64.whl

Download URL tf_nightly-2.22.0.dev20260912-cp313-cp313-macosx_12_0_arm64.whl
Size 245.5 MB
Tags CPython 3.13 macOS 12.0+ ARM64
SHA-256 checksum
How to use checksums
0c14918a96e839ce120d9d1fed27eba179655387622d76f3f0758a25953abc00
BLAKE2b-256 checksum
How to use checksums
6ece976716aba967eaa7cb4618925acafe6efc07b7b86fbbcffe66113c8a2512
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / tf_nightly-2.22.0.dev20260912-cp312-cp312-win_amd64.whl

Download URL tf_nightly-2.22.0.dev20260912-cp312-cp312-win_amd64.whl
Size 376.3 MB
Tags CPython 3.12 Windows x86-64
SHA-256 checksum
How to use checksums
8de25ff95fd6ddd93fdc515b370223d6b5349628de5f73c38236cfcc3571d96f
BLAKE2b-256 checksum
How to use checksums
1a18bd2fd5c2644ec7f30f2e918e4e398d42dbe09a36792bedc114a0ef48ad3f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / tf_nightly-2.22.0.dev20260912-cp312-cp312-manylinux_2_27_x86_64.whl

Download URL tf_nightly-2.22.0.dev20260912-cp312-cp312-manylinux_2_27_x86_64.whl
Size 638.2 MB
Tags CPython 3.12 Linux glibc 2.27+ x86-64
SHA-256 checksum
How to use checksums
911ca842b1e3d1e747dd7685678bb967ebb4d502ca8568eae441ca96df589643
BLAKE2b-256 checksum
How to use checksums
72f7da7eab6ea7124829e07115f719978a27308829662ef2119a070909383254
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / tf_nightly-2.22.0.dev20260912-cp312-cp312-manylinux_2_27_aarch64.whl

Download URL tf_nightly-2.22.0.dev20260912-cp312-cp312-manylinux_2_27_aarch64.whl
Size 304.3 MB
Tags CPython 3.12 Linux glibc 2.27+ ARM64
SHA-256 checksum
How to use checksums
884c7635a6439b427e1270ac724ac6c68e4e462433230e536c517ff3d641d2a4
BLAKE2b-256 checksum
How to use checksums
08c1bb1db83f3c70fdcb783e40f825235cd4ebc643737bdf4cfced9a8b63231f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / tf_nightly-2.22.0.dev20260912-cp312-cp312-macosx_12_0_arm64.whl

Download URL tf_nightly-2.22.0.dev20260912-cp312-cp312-macosx_12_0_arm64.whl
Size 245.4 MB
Tags CPython 3.12 macOS 12.0+ ARM64
SHA-256 checksum
How to use checksums
0ad56253be2625c40e0629017be23e7c4a0df16613a4d4a82f9e340677a43240
BLAKE2b-256 checksum
How to use checksums
da029512b4443a6a4bb1137f31334774831bde7941a697660086cb996272989d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / tf_nightly-2.22.0.dev20260912-cp311-cp311-win_amd64.whl

Download URL tf_nightly-2.22.0.dev20260912-cp311-cp311-win_amd64.whl
Size 376.3 MB
Tags CPython 3.11 Windows x86-64
SHA-256 checksum
How to use checksums
11180b172c03c2b0680b2e9c33c94e420f44bb46f9525725f1d804316f2b194a
BLAKE2b-256 checksum
How to use checksums
4fc6ba56384af54e2f58d136396e0ac6af38c21c92d50c268b629229b3eb4652
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / tf_nightly-2.22.0.dev20260912-cp311-cp311-manylinux_2_27_x86_64.whl

Download URL tf_nightly-2.22.0.dev20260912-cp311-cp311-manylinux_2_27_x86_64.whl
Size 638.1 MB
Tags CPython 3.11 Linux glibc 2.27+ x86-64
SHA-256 checksum
How to use checksums
d2199f5904d5255644fab5e5be1fdcc7be14c7ce8f55018cb66ee2e315be64b6
BLAKE2b-256 checksum
How to use checksums
9fa7e0f2da5d7be9ad93b36874d880fa144a8a6cf6137ce2afc49388b272dbd5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / tf_nightly-2.22.0.dev20260912-cp311-cp311-manylinux_2_27_aarch64.whl

Download URL tf_nightly-2.22.0.dev20260912-cp311-cp311-manylinux_2_27_aarch64.whl
Size 304.2 MB
Tags CPython 3.11 Linux glibc 2.27+ ARM64
SHA-256 checksum
How to use checksums
8216f731c44c74c5947358082460d74e1b00fe2f54453374ab1d8defe0cfebcb
BLAKE2b-256 checksum
How to use checksums
2eff14d41203130a6240559f1631772a51c0db59394b6db6e1ae365da0c128cd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / tf_nightly-2.22.0.dev20260912-cp311-cp311-macosx_12_0_arm64.whl

Download URL tf_nightly-2.22.0.dev20260912-cp311-cp311-macosx_12_0_arm64.whl
Size 245.3 MB
Tags CPython 3.11 macOS 12.0+ ARM64
SHA-256 checksum
How to use checksums
5ed312e7c6f56551ff32dd212fb529a93aac480176232c294eeb9b91b9503208
BLAKE2b-256 checksum
How to use checksums
7fcae5d902a317a799c25ecfcb270bed4c72c3e5e41a881dfd406861cf27be53
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Security for tf-nightly 2.22.0.dev20260912

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page