TensorFlow is an open source machine learning framework for everyone.
Project description
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 history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file tf_nightly-2.22.0.dev20260326-cp314-cp314-manylinux_2_27_aarch64.whl.
File metadata
- Download URL: tf_nightly-2.22.0.dev20260326-cp314-cp314-manylinux_2_27_aarch64.whl
- Upload date:
- Size: 292.9 MB
- Tags: CPython 3.14, manylinux: glibc 2.27+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4088507afd131339addea8582a4e1f485bf0093820d19fe3394ab90ee4221e5a
|
|
| MD5 |
56b71646e8de3203e3fe8cb5ef7f2a46
|
|
| BLAKE2b-256 |
1754849f6f77d565703efdeb3e21ee622d4d75675a10b0179eebc6de7c86728a
|
File details
Details for the file tf_nightly-2.22.0.dev20260326-cp314-cp314-macosx_12_0_arm64.whl.
File metadata
- Download URL: tf_nightly-2.22.0.dev20260326-cp314-cp314-macosx_12_0_arm64.whl
- Upload date:
- Size: 234.0 MB
- Tags: CPython 3.14, macOS 12.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
18bb2b63e7871679b503473d96e596d47527f791c5501d41d92181e02740c11d
|
|
| MD5 |
facc16880081dfed820681c28007e1f2
|
|
| BLAKE2b-256 |
e1bf46868e304b464c92f0ab0142aa4c5c63be812f3bd3b82b5f31d754a16e58
|
File details
Details for the file tf_nightly-2.22.0.dev20260326-cp313-cp313-win_amd64.whl.
File metadata
- Download URL: tf_nightly-2.22.0.dev20260326-cp313-cp313-win_amd64.whl
- Upload date:
- Size: 360.8 MB
- Tags: CPython 3.13, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0c8e6d1cabeade99ccecc3c6cdb3365675e8e52dcafb100a755b899679a85620
|
|
| MD5 |
5b142142e25fd8fdf830ca0c77aa8196
|
|
| BLAKE2b-256 |
03cf32231200e97e48c4093ca1cddc4f36790a953736f10dc0eafe20287998e5
|
File details
Details for the file tf_nightly-2.22.0.dev20260326-cp313-cp313-manylinux_2_27_aarch64.whl.
File metadata
- Download URL: tf_nightly-2.22.0.dev20260326-cp313-cp313-manylinux_2_27_aarch64.whl
- Upload date:
- Size: 292.9 MB
- Tags: CPython 3.13, manylinux: glibc 2.27+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ce60f584f9a4ca07e7ac958e8e7d980f73e8a208f6997d79a0d2255791900db5
|
|
| MD5 |
c1c93079b13a5b59b654cd651b67ba9a
|
|
| BLAKE2b-256 |
d7a7ca2444b5a082953668c11081cfd636742d5353a692eff5db94676e6d8ca7
|
File details
Details for the file tf_nightly-2.22.0.dev20260326-cp313-cp313-macosx_12_0_arm64.whl.
File metadata
- Download URL: tf_nightly-2.22.0.dev20260326-cp313-cp313-macosx_12_0_arm64.whl
- Upload date:
- Size: 234.0 MB
- Tags: CPython 3.13, macOS 12.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5731e88695906c2d106b124f07575c56a1c96f3583cc7658c09b9a915cf4b7ad
|
|
| MD5 |
23d1b4f44262146eda0a26b1d1b73245
|
|
| BLAKE2b-256 |
8acdb46a67c757f002a8201442772de7bc2352a78f41f20fa585b085ff2c1204
|
File details
Details for the file tf_nightly-2.22.0.dev20260326-cp312-cp312-win_amd64.whl.
File metadata
- Download URL: tf_nightly-2.22.0.dev20260326-cp312-cp312-win_amd64.whl
- Upload date:
- Size: 360.7 MB
- Tags: CPython 3.12, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f743bcb59215f8b2cf1429aff82f6df869618d6ba72fb54967a5799a437f9e45
|
|
| MD5 |
de5abe94e51378dbc0fb74b2d7918474
|
|
| BLAKE2b-256 |
02cc7d05dd0b1a9f2571a2661dce7f5369c7b585d393f2da7e688324b1006c81
|
File details
Details for the file tf_nightly-2.22.0.dev20260326-cp312-cp312-manylinux_2_27_aarch64.whl.
File metadata
- Download URL: tf_nightly-2.22.0.dev20260326-cp312-cp312-manylinux_2_27_aarch64.whl
- Upload date:
- Size: 292.7 MB
- Tags: CPython 3.12, manylinux: glibc 2.27+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a0bb90d64830d48998046e0d1a6ea3999f2c65abbabfe802e6011868a7883793
|
|
| MD5 |
33e2cafade73c29219e630947d0d8c16
|
|
| BLAKE2b-256 |
2c5ac6f459319b0e5602fd4ccf792b60925a83b9ada35757a304fe6e5b3f38ba
|
File details
Details for the file tf_nightly-2.22.0.dev20260326-cp312-cp312-macosx_12_0_arm64.whl.
File metadata
- Download URL: tf_nightly-2.22.0.dev20260326-cp312-cp312-macosx_12_0_arm64.whl
- Upload date:
- Size: 233.8 MB
- Tags: CPython 3.12, macOS 12.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
69c8d9dbe19532e88cfcd4e364a4798c1f06b06ecff5aaf872adcf95fa054a19
|
|
| MD5 |
469c4f9229988b7779f70cb6f3e65fdf
|
|
| BLAKE2b-256 |
1037edab3d24860d86c5a5e146483360c8bcfbf88bb21619ad43d87f8c303966
|
File details
Details for the file tf_nightly-2.22.0.dev20260326-cp311-cp311-win_amd64.whl.
File metadata
- Download URL: tf_nightly-2.22.0.dev20260326-cp311-cp311-win_amd64.whl
- Upload date:
- Size: 360.6 MB
- Tags: CPython 3.11, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
310f500301e9e5deb603d927476c9642614497f2c4d0030d03150684c052bb0c
|
|
| MD5 |
b08527555e3ce994789ea9e8a29ec096
|
|
| BLAKE2b-256 |
955dd1a5542e99ce8d9d4b4a2b91af9aa57a89394c335c3ba93dc6c53c278f72
|
File details
Details for the file tf_nightly-2.22.0.dev20260326-cp311-cp311-manylinux_2_27_aarch64.whl.
File metadata
- Download URL: tf_nightly-2.22.0.dev20260326-cp311-cp311-manylinux_2_27_aarch64.whl
- Upload date:
- Size: 292.7 MB
- Tags: CPython 3.11, manylinux: glibc 2.27+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
66b4724c0ed2537f4cb5642e277dcddc999127af5efbc9c1253fc64d7a2f71a5
|
|
| MD5 |
48001dea3375e2feab5017dd7650a12a
|
|
| BLAKE2b-256 |
499780528f4eb182f758f2539c70b20078ec4931d7996c60107f433f0d4dff1a
|
File details
Details for the file tf_nightly-2.22.0.dev20260326-cp311-cp311-macosx_12_0_arm64.whl.
File metadata
- Download URL: tf_nightly-2.22.0.dev20260326-cp311-cp311-macosx_12_0_arm64.whl
- Upload date:
- Size: 233.8 MB
- Tags: CPython 3.11, macOS 12.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
900860715fcea7dcdc07c0b25fa66687810d5a7dd5b242fc38b2ff35f12881e0
|
|
| MD5 |
9310e869caf936eeaf5f27fd7f5b92a8
|
|
| BLAKE2b-256 |
9c688c35c75f0f63544fbebeb981e0b795519b8664e7d246fa5236602d4f0708
|
