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.

Metadata

Release files for tf-nightly-cpu 2.22.0.dev20260514

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-cpu 2.22.0.dev20260514
File
tf_nightly_cpu-2.22.0.dev20260514-cp314-cp314-manylinux_2_27_x86_64.whl CPython 3.14 CPython 3.14 Linux glibc 2.27+ x86-64 Details
tf_nightly_cpu-2.22.0.dev20260514-cp313-cp313-win_amd64.whl CPython 3.13 CPython 3.13 Windows x86-64 Details
tf_nightly_cpu-2.22.0.dev20260514-cp313-cp313-manylinux_2_27_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.27+ x86-64 Details
tf_nightly_cpu-2.22.0.dev20260514-cp312-cp312-win_amd64.whl CPython 3.12 CPython 3.12 Windows x86-64 Details
tf_nightly_cpu-2.22.0.dev20260514-cp312-cp312-manylinux_2_27_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.27+ x86-64 Details
tf_nightly_cpu-2.22.0.dev20260514-cp311-cp311-win_amd64.whl CPython 3.11 CPython 3.11 Windows x86-64 Details
tf_nightly_cpu-2.22.0.dev20260514-cp311-cp311-manylinux_2_27_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.27+ x86-64 Details

Total release size: 2.2 GB

Release files / tf_nightly_cpu-2.22.0.dev20260514-cp314-cp314-manylinux_2_27_x86_64.whl

Download URL tf_nightly_cpu-2.22.0.dev20260514-cp314-cp314-manylinux_2_27_x86_64.whl
Size 287.4 MB
Tags CPython 3.14 Linux glibc 2.27+ x86-64
SHA-256 checksum
How to use checksums
8260f0e7dbd25588f756a4cc065a1392535c23aea69b42fd27cbd59825a597df
BLAKE2b-256 checksum
How to use checksums
01b99a2a6855dbfad765c4a048aad02cecf905d853259e1d2ee27a114414eb98
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_cpu-2.22.0.dev20260514-cp313-cp313-win_amd64.whl

Download URL tf_nightly_cpu-2.22.0.dev20260514-cp313-cp313-win_amd64.whl
Size 363.0 MB
Tags CPython 3.13 Windows x86-64
SHA-256 checksum
How to use checksums
42408adf548d83dcd89454e6fee601abe9d4589790dc6bb86c8e17b0adeb548d
BLAKE2b-256 checksum
How to use checksums
e6b10c9dbfa06241d9cbf8107d35f26e8be562405ac6bfeaebf559411fd583c0
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_cpu-2.22.0.dev20260514-cp313-cp313-manylinux_2_27_x86_64.whl

Download URL tf_nightly_cpu-2.22.0.dev20260514-cp313-cp313-manylinux_2_27_x86_64.whl
Size 287.4 MB
Tags CPython 3.13 Linux glibc 2.27+ x86-64
SHA-256 checksum
How to use checksums
131cf3fcb538dbf243c76d92d9238703b55f08f808b605356884e55b44c0744a
BLAKE2b-256 checksum
How to use checksums
7f55219c84585f881a365626a0dd82a98c2cc77ca9b1e018807ec8a406bb01d2
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_cpu-2.22.0.dev20260514-cp312-cp312-win_amd64.whl

Download URL tf_nightly_cpu-2.22.0.dev20260514-cp312-cp312-win_amd64.whl
Size 362.8 MB
Tags CPython 3.12 Windows x86-64
SHA-256 checksum
How to use checksums
aba8722cdb0fe3e1b8af5dbd16e876d0507bd6564b3e2564f62102f0d7105d35
BLAKE2b-256 checksum
How to use checksums
2852de79df602ba96f7e7b8bc69e05e7e027758043daf3ea1a26dc0e717784b6
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_cpu-2.22.0.dev20260514-cp312-cp312-manylinux_2_27_x86_64.whl

Download URL tf_nightly_cpu-2.22.0.dev20260514-cp312-cp312-manylinux_2_27_x86_64.whl
Size 287.2 MB
Tags CPython 3.12 Linux glibc 2.27+ x86-64
SHA-256 checksum
How to use checksums
03f30c7930230e2218beff652b070567fee379abd450ae92780a572f416f2fa0
BLAKE2b-256 checksum
How to use checksums
615db99d1e972648f291381af4d2df6a87739d8e1a9454820607d4ced6798444
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_cpu-2.22.0.dev20260514-cp311-cp311-win_amd64.whl

Download URL tf_nightly_cpu-2.22.0.dev20260514-cp311-cp311-win_amd64.whl
Size 362.8 MB
Tags CPython 3.11 Windows x86-64
SHA-256 checksum
How to use checksums
07167354a98cc5ace57375519b7ed49c7621c73fc2421385842f62fadf31bbf4
BLAKE2b-256 checksum
How to use checksums
ccf368d6b39db88f57672d7bc98581752d9b0923647e29b2728326ac30d51b14
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_cpu-2.22.0.dev20260514-cp311-cp311-manylinux_2_27_x86_64.whl

Download URL tf_nightly_cpu-2.22.0.dev20260514-cp311-cp311-manylinux_2_27_x86_64.whl
Size 287.1 MB
Tags CPython 3.11 Linux glibc 2.27+ x86-64
SHA-256 checksum
How to use checksums
c741a7e7f6cc6538bb9873c705a7f9f4a4c2bea966f36a1cd62ca9a3cdbae40c
BLAKE2b-256 checksum
How to use checksums
523b9aed1ff8d804ea33e0598ed5dbacb5cfc1f97343b3f65cc4449971a8a448
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-cpu 2.22.0.dev20260514

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