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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.dev20260214

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Table of built distributions (wheels) for tf-nightly 2.22.0.dev20260214
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tf_nightly-2.22.0.dev20260214-cp313-cp313-win_amd64.whl CPython 3.13 CPython 3.13 Windows x86-64 Details for tf_nightly-2.22.0.dev20260214-cp313-cp313-win_amd64.whl
tf_nightly-2.22.0.dev20260214-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.dev20260214-cp313-cp313-manylinux_2_27_x86_64.whl
tf_nightly-2.22.0.dev20260214-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.dev20260214-cp313-cp313-manylinux_2_27_aarch64.whl
tf_nightly-2.22.0.dev20260214-cp313-cp313-macosx_12_0_arm64.whl CPython 3.13 CPython 3.13 macOS 12.0+ ARM64 Details for tf_nightly-2.22.0.dev20260214-cp313-cp313-macosx_12_0_arm64.whl
tf_nightly-2.22.0.dev20260214-cp312-cp312-win_amd64.whl CPython 3.12 CPython 3.12 Windows x86-64 Details for tf_nightly-2.22.0.dev20260214-cp312-cp312-win_amd64.whl
tf_nightly-2.22.0.dev20260214-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.dev20260214-cp312-cp312-manylinux_2_27_x86_64.whl
tf_nightly-2.22.0.dev20260214-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.dev20260214-cp312-cp312-manylinux_2_27_aarch64.whl
tf_nightly-2.22.0.dev20260214-cp312-cp312-macosx_12_0_arm64.whl CPython 3.12 CPython 3.12 macOS 12.0+ ARM64 Details for tf_nightly-2.22.0.dev20260214-cp312-cp312-macosx_12_0_arm64.whl
tf_nightly-2.22.0.dev20260214-cp311-cp311-win_amd64.whl CPython 3.11 CPython 3.11 Windows x86-64 Details for tf_nightly-2.22.0.dev20260214-cp311-cp311-win_amd64.whl
tf_nightly-2.22.0.dev20260214-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.dev20260214-cp311-cp311-manylinux_2_27_x86_64.whl
tf_nightly-2.22.0.dev20260214-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.dev20260214-cp311-cp311-manylinux_2_27_aarch64.whl
tf_nightly-2.22.0.dev20260214-cp311-cp311-macosx_12_0_arm64.whl CPython 3.11 CPython 3.11 macOS 12.0+ ARM64 Details for tf_nightly-2.22.0.dev20260214-cp311-cp311-macosx_12_0_arm64.whl
tf_nightly-2.22.0.dev20260214-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details for tf_nightly-2.22.0.dev20260214-cp310-cp310-win_amd64.whl
tf_nightly-2.22.0.dev20260214-cp310-cp310-manylinux_2_27_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.27+ x86-64 Details for tf_nightly-2.22.0.dev20260214-cp310-cp310-manylinux_2_27_x86_64.whl
tf_nightly-2.22.0.dev20260214-cp310-cp310-manylinux_2_27_aarch64.whl CPython 3.10 CPython 3.10 Linux glibc 2.27+ ARM64 Details for tf_nightly-2.22.0.dev20260214-cp310-cp310-manylinux_2_27_aarch64.whl

Total release size: 5.5 GB

Release files / tf_nightly-2.22.0.dev20260214-cp313-cp313-win_amd64.whl

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Download URL tf_nightly-2.22.0.dev20260214-cp312-cp312-manylinux_2_27_aarch64.whl
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Release files / tf_nightly-2.22.0.dev20260214-cp311-cp311-win_amd64.whl

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Release files / tf_nightly-2.22.0.dev20260214-cp311-cp311-manylinux_2_27_x86_64.whl

Download URL tf_nightly-2.22.0.dev20260214-cp311-cp311-manylinux_2_27_x86_64.whl
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Release files / tf_nightly-2.22.0.dev20260214-cp311-cp311-manylinux_2_27_aarch64.whl

Download URL tf_nightly-2.22.0.dev20260214-cp311-cp311-manylinux_2_27_aarch64.whl
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