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https://github.com/jax-ml/jax

jax

Score: 38.36542935088923

Last synced: about 16 hours ago
JSON representation

Repository metadata:

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more


Owner metadata:


Committers metadata

Last synced: 6 days ago

Total Commits: 28,528
Total Committers: 1,019
Avg Commits per committer: 27.996
Development Distribution Score (DDS): 0.882

Commits in past year: 6,701
Committers in past year: 298
Avg Commits per committer in past year: 22.487
Development Distribution Score (DDS) in past year: 0.88

Name Email Commits
Peter Hawkins p****s@g****m 3367
Jake VanderPlas j****p@g****m 2680
Matthew Johnson m****j@g****m 2426
Yash Katariya y****a@g****m 2278
jax authors g****n@g****m 1804
George Necula g****a@g****m 1252
Adam Paszke a****e@g****m 1134
Sergei Lebedev s****v@g****m 1069
jax authors n****y@g****m 697
Roy Frostig f****g@g****m 628
Benjamin Chetioui b****i@g****m 505
Skye Wanderman-Milne s****m@g****m 496
Sharad Vikram s****v@g****m 471
Allan Renucci a****i@g****m 385
Jake VanderPlas v****s@g****m 358
Dan Foreman-Mackey d****m@g****m 283
Tomás Longeri t****i@g****m 242
Parker Schuh p****s@g****m 239
Justin Fu j****u@g****m 223
Daniel Suo d****o@g****m 197
Dimitar (Mitko) Asenov d****v@g****m 165
Chris Jones c****j@g****m 159
Dougal d****n@g****m 147
Stephan Hoyer s****r@g****m 145
Jevin Jiang j****g@g****m 142
Nitin Srinivasan s****n@g****m 133
Greg Olechwierowicz o****z@g****m 120
rajasekharporeddy r****p@g****m 112
Vladimir Belitskiy b****y@g****m 108
Lena Martens l****s@g****m 107
and 989 more...

Issue and Pull Request metadata

Last synced: about 19 hours ago

Total issues: 1,336
Total pull requests: 10,397
Average time to close issues: 8 months
Average time to close pull requests: 15 days
Total issue authors: 709
Total pull request authors: 339
Average comments per issue: 2.44
Average comments per pull request: 0.25
Merged pull request: 5,800
Bot issues: 62
Bot pull requests: 7,513

Past year issues: 189
Past year pull requests: 1,398
Past year average time to close issues: 11 days
Past year average time to close pull requests: 21 days
Past year issue authors: 113
Past year pull request authors: 111
Past year average comments per issue: 1.28
Past year average comments per pull request: 0.28
Past year merged pull request: 602
Past year bot issues: 14
Past year bot pull requests: 1,085

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/jax-ml/jax

Top Issue Authors

  • PhilipVinc (43)
  • carlosgmartin (42)
  • copybara-service[bot] (42)
  • ayaka14732 (28)
  • jakevdp (21)
  • github-actions[bot] (18)
  • patrick-kidger (17)
  • apiqwe (14)
  • hawkinsp (14)
  • sbodenstein (14)
  • gnecula (12)
  • vfdev-5 (12)
  • crusaderky (12)
  • mattjj (12)
  • emilyfertig (10)

Top Pull Request Authors

  • copybara-service[bot] (7,391)
  • jakevdp (566)
  • mattjj (239)
  • hawkinsp (205)
  • dfm (180)
  • gnecula (161)
  • dependabot[bot] (122)
  • vfdev-5 (73)
  • carlosgmartin (65)
  • rajasekharporeddy (50)
  • Ruturaj4 (47)
  • dougalm (42)
  • andportnoy (38)
  • froystig (32)
  • MichaelHudgins (32)

Top Issue Labels

  • bug (843)
  • enhancement (291)
  • pallas (67)
  • documentation (32)
  • NVIDIA GPU (24)
  • question (24)
  • P3 (no schedule) (14)
  • P2 (eventual) (14)
  • free threading (12)
  • pull ready (11)
  • build failed (10)
  • performance (9)
  • contributions welcome (9)
  • CI (8)
  • XLA (7)
  • better_errors (6)
  • needs info (6)
  • Apple GPU (Metal) plugin (6)
  • AMD GPU (5)
  • P1 (soon) (4)
  • cleanup (4)
  • CPU (4)
  • open (4)
  • good first issue (3)
  • type:performance (3)
  • application (2)
  • kokoro:force-run (2)
  • type:Bug (2)
  • python (2)
  • dependencies (2)

Top Pull Request Labels

  • pull ready (1,968)
  • kokoro:force-run (727)
  • documentation (180)
  • dependencies (122)
  • python (82)
  • CI Optional GPU Presubmit (52)
  • github_actions (38)
  • CI Connection Halt - On Retry (20)
  • better_errors (14)
  • cla: yes (13)
  • windows:force-run (8)
  • AMD GPU (6)
  • needs info (4)
  • free threading (4)
  • CI (4)
  • skill issue (4)
  • enhancement (3)
  • bug (3)
  • CI Connection Halt - Always (2)
  • pallas (2)
  • NVIDIA GPU (2)
  • size/tiny (1)
  • Apple GPU (Metal) plugin (1)
  • build (1)
  • ok-to-test (1)
  • performance (1)
  • CI Connection Halt - On Error (1)
  • P3 (no schedule) (1)
  • ruby (1)
  • question (1)

Package metadata

nixpkgs-unstable: python313Packages.jax-cuda12-plugin

JAX Plugin for CUDA12

pypi.org: jax

Differentiate, compile, and transform Numpy code.

  • Homepage: https://github.com/jax-ml/jax
  • Documentation: https://jax.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release: 0.11.1 (published 7 days ago)
  • Last Synced: 2026-08-23T15:32:33.844Z (1 day ago)
  • Versions: 195
  • Dependent Packages: 785
  • Dependent Repositories: 6,336
  • Downloads: 20,949,834 Last month
  • Docker Downloads: 1,084,879,634
  • Rankings:
    • Dependent packages count: 0.034%
    • Stargazers count: 0.079%
    • Dependent repos count: 0.12%
    • Downloads: 0.153%
    • Average: 0.184%
    • Forks count: 0.306%
    • Docker downloads count: 0.409%
  • Maintainers (9)
pypi.org: jaxlib

XLA library for JAX

  • Homepage: https://github.com/jax-ml/jax
  • Documentation: https://jaxlib.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release: 0.11.1 (published 7 days ago)
  • Last Synced: 2026-08-23T15:32:42.554Z (1 day ago)
  • Versions: 86
  • Dependent Packages: 511
  • Dependent Repositories: 4,102
  • Downloads: 15,580,488 Last month
  • Docker Downloads: 32,935,086
  • Rankings:
    • Dependent packages count: 0.052%
    • Stargazers count: 0.079%
    • Dependent repos count: 0.155%
    • Average: 0.237%
    • Downloads: 0.242%
    • Forks count: 0.306%
    • Docker downloads count: 0.586%
  • Maintainers (9)
conda-forge.org: jax

  • Homepage: https://github.com/jax-ml/jax
  • Licenses: Apache-2.0
  • Latest release: 0.3.25 (published almost 4 years ago)
  • Last Synced: 2026-03-25T18:08:14.239Z (5 months ago)
  • Versions: 90
  • Dependent Packages: 33
  • Dependent Repositories: 60
  • Downloads: 1,693,877 Total
  • Rankings:
    • Stargazers count: 1.517%
    • Dependent packages count: 2.071%
    • Forks count: 2.635%
    • Average: 2.698%
    • Dependent repos count: 4.571%
spack.io: py-jax

Differentiate, compile, and transform Numpy code. JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine learning.

  • Homepage: https://github.com/jax-ml/jax
  • Licenses: []
  • Latest release: 0.10.2 (published 2 months ago)
  • Last Synced: 2026-08-23T15:32:35.481Z (1 day ago)
  • Versions: 58
  • Dependent Packages: 14
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 0.0%
    • Stargazers count: 0.403%
    • Forks count: 1.848%
    • Average: 2.991%
    • Dependent packages count: 9.712%
  • Maintainers (1)
conda-forge.org: jaxlib

  • Homepage: http://github.com/jax-ml/jax
  • Licenses: Apache-2.0
  • Latest release: 0.3.25 (published almost 4 years ago)
  • Last Synced: 2026-03-25T18:08:13.142Z (5 months ago)
  • Versions: 51
  • Dependent Packages: 23
  • Dependent Repositories: 37
  • Downloads: 3,704,885 Total
  • Rankings:
    • Stargazers count: 1.527%
    • Forks count: 2.64%
    • Dependent packages count: 2.904%
    • Average: 3.261%
    • Dependent repos count: 5.973%
proxy.golang.org: github.com/jax-ml/jax

  • Homepage:
  • Status: removed
  • Documentation: https://pkg.go.dev/github.com/jax-ml/jax#section-documentation
  • Licenses: apache-2.0
  • Latest release: v0.0.0-20260811232613-cc77b3bbec99 (published 13 days ago)
  • Last Synced: 2026-08-23T15:35:29.619Z (1 day ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 4.494%
    • Average: 4.645%
    • Dependent repos count: 4.796%
spack.io: py-jaxlib

XLA library for Jax. jaxlib is the support library for JAX. While JAX itself is a pure Python package, jaxlib contains the binary (C/C++) parts of the library, including Python bindings, the XLA compiler, the PJRT runtime, and a handful of handwritten kernels.

  • Homepage: https://github.com/jax-ml/jax
  • Licenses: []
  • Latest release: 0.10.2 (published 2 months ago)
  • Last Synced: 2026-08-23T15:32:35.341Z (1 day ago)
  • Versions: 48
  • Dependent Packages: 6
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 0.0%
    • Stargazers count: 0.403%
    • Forks count: 1.848%
    • Average: 5.308%
    • Dependent packages count: 18.98%
  • Maintainers (2)
anaconda.org: jax

JAX is Autograd and XLA, brought together for high-performance numerical computing and machine learning research. It provides composable transformations of Python+NumPy programs: differentiate, vectorize, parallelize, Just-In-Time compile to GPU/TPU, and more.

  • Homepage: https://github.com/jax-ml/jax
  • Licenses: Apache-2.0
  • Latest release: 0.9.2 (published 3 months ago)
  • Last Synced: 2026-05-13T20:05:50.389Z (3 months ago)
  • Versions: 7
  • Dependent Packages: 6
  • Dependent Repositories: 60
  • Downloads: 5,678 Total
  • Rankings:
    • Stargazers count: 4.016%
    • Dependent packages count: 7.065%
    • Forks count: 7.277%
    • Average: 10.311%
    • Dependent repos count: 22.886%
anaconda.org: jaxlib

JAX is a Python library for accelerator-oriented array computation and program transformation, designed for high-performance numerical computing and large-scale machine learning.

  • Homepage: https://github.com/jax-ml/jax
  • Licenses: Apache-2.0
  • Latest release: 0.9.2 (published 4 months ago)
  • Last Synced: 2026-05-12T15:04:37.310Z (3 months ago)
  • Versions: 7
  • Dependent Packages: 5
  • Dependent Repositories: 37
  • Downloads: 7,400 Total
  • Rankings:
    • Stargazers count: 4.016%
    • Forks count: 7.277%
    • Dependent packages count: 8.756%
    • Average: 11.73%
    • Dependent repos count: 26.872%
pypi.org: winjax-cuda13-plugin

JAX Plugin for NVIDIA GPUs

  • Homepage: https://github.com/jax-ml/jax
  • Documentation: https://winjax-cuda13-plugin.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release: 0.11.0 (published 17 days ago)
  • Last Synced: 2026-08-23T15:32:44.760Z (1 day ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 120 Last month
  • Rankings:
    • Dependent packages count: 6.728%
    • Average: 22.395%
    • Dependent repos count: 38.063%
  • Maintainers (1)
pypi.org: frxlib

XLA library for JAX

  • Homepage: https://github.com/jax-ml/jax
  • Documentation: https://frxlib.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release: 0.10.2 (published 13 days ago)
  • Last Synced: 2026-08-23T15:32:23.030Z (1 day ago)
  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 437 Last month
  • Rankings:
    • Dependent packages count: 6.805%
    • Average: 22.652%
    • Dependent repos count: 38.499%
  • Maintainers (1)
pypi.org: jax-oneapi-plugin

JAX Plugin for Intel GPUs

  • Homepage: https://github.com/jax-ml/jax
  • Documentation: https://jax-oneapi-plugin.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release: 0.0.1 (published 2 months ago)
  • Last Synced: 2026-08-23T15:32:36.830Z (1 day ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 250 Last month
  • Rankings:
    • Dependent packages count: 7.004%
    • Average: 23.313%
    • Dependent repos count: 39.621%
  • Maintainers (1)
pypi.org: jax-oneapi-pjrt

JAX XLA PJRT Plugin for Intel GPUs

  • Homepage: https://github.com/jax-ml/jax
  • Documentation: https://jax-oneapi-pjrt.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release: 0.0.1 (published 2 months ago)
  • Last Synced: 2026-08-23T15:33:00.928Z (1 day ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 53 Last month
  • Rankings:
    • Dependent packages count: 7.004%
    • Average: 25.414%
    • Downloads: 29.618%
    • Dependent repos count: 39.621%
  • Maintainers (1)
pypi.org: jax-rocm7-pjrt

JAX XLA PJRT Plugin for AMD GPUs (ROCm:unknown)

pypi.org: jax-rocm7-plugin

JAX Plugin for AMD GPUs (ROCm:unknown)

pypi.org: jax-cuda13-pjrt

JAX XLA PJRT Plugin for NVIDIA GPUs

  • Homepage: https://github.com/jax-ml/jax
  • Documentation: https://jax-cuda13-pjrt.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release: 0.11.1 (published 7 days ago)
  • Last Synced: 2026-08-23T15:32:41.570Z (1 day ago)
  • Versions: 15
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 491,652 Last month
  • Rankings:
    • Dependent packages count: 8.827%
    • Average: 29.282%
    • Dependent repos count: 49.737%
  • Maintainers (3)
pypi.org: jax-cuda13-plugin

JAX Plugin for NVIDIA GPUs

  • Homepage: https://github.com/jax-ml/jax
  • Documentation: https://jax-cuda13-plugin.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release: 0.11.1 (published 7 days ago)
  • Last Synced: 2026-08-23T15:32:37.060Z (1 day ago)
  • Versions: 15
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 490,933 Last month
  • Rankings:
    • Dependent packages count: 8.827%
    • Average: 29.282%
    • Dependent repos count: 49.737%
  • Maintainers (3)
pypi.org: jax-rocm60-pjrt

JAX XLA PJRT Plugin for AMD GPUs (ROCm:unknown)

  • Homepage: https://github.com/jax-ml/jax
  • Documentation: https://jax-rocm60-pjrt.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release: 0.5.0 (published over 1 year ago)
  • Last Synced: 2026-08-23T15:32:58.972Z (1 day ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 577 Last month
  • Rankings:
    • Dependent packages count: 9.919%
    • Average: 32.879%
    • Dependent repos count: 55.838%
  • Maintainers (3)
pypi.org: jax-rocm60-plugin

JAX Plugin for AMD GPUs (ROCm:unknown)

  • Homepage: https://github.com/jax-ml/jax
  • Documentation: https://jax-rocm60-plugin.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release: 0.5.0 (published over 1 year ago)
  • Last Synced: 2026-08-23T15:32:31.215Z (1 day ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 576 Last month
  • Rankings:
    • Dependent packages count: 9.919%
    • Average: 32.879%
    • Dependent repos count: 55.838%
  • Maintainers (3)
pypi.org: jax-cuda12-pjrt

JAX XLA PJRT Plugin for NVIDIA GPUs

  • Homepage: https://github.com/jax-ml/jax
  • Documentation: https://jax-cuda12-pjrt.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release: 0.11.1 (published 7 days ago)
  • Last Synced: 2026-08-23T15:32:15.268Z (1 day ago)
  • Versions: 38
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Downloads: 722,910 Last month
  • Rankings:
    • Dependent packages count: 10.156%
    • Average: 38.583%
    • Dependent repos count: 67.01%
  • Maintainers (3)
pypi.org: jax-cuda12-plugin

JAX Plugin for NVIDIA GPUs

  • Homepage: https://github.com/jax-ml/jax
  • Documentation: https://jax-cuda12-plugin.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release: 0.11.1 (published 7 days ago)
  • Last Synced: 2026-08-23T15:32:47.923Z (1 day ago)
  • Versions: 38
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Downloads: 724,526 Last month
  • Rankings:
    • Dependent packages count: 10.156%
    • Average: 38.583%
    • Dependent repos count: 67.01%
  • Maintainers (3)
nixpkgs-unstable: python313Packages.jax-cuda12-pjrt

JAX XLA PJRT Plugin for NVIDIA GPUs

nixpkgs-unstable: python314Packages.jax-cuda12-plugin

JAX Plugin for CUDA12

nixpkgs-unstable: python314Packages.jax-cuda12-pjrt

JAX XLA PJRT Plugin for NVIDIA GPUs


Dependencies

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MODULE.bazel bazel
  • abseil-cpp 20260526.0
  • apple_support 2.8.0
  • bazel_features 1.50.0
  • bazel_skylib 1.9.0
  • flatbuffers 25.2.10
  • googletest 1.17.0.bcr.2
  • grpc 1.78.0
  • platforms 1.1.0
  • protobuf 32.1
  • pybind11_bazel 3.0.0
  • rules_cc 0.2.20
  • rules_ml_toolchain *
  • rules_python 2.2.0
  • xla *
  • zlib 1.3.2
build/requirements.in pypi
  • build *
  • colorama >=0.4.4
  • etils *
  • jax *
  • jax-cuda12-pjrt *
  • jax-cuda12-plugin *
  • jax-cuda13-pjrt *
  • jax-cuda13-plugin *
  • jaxlib *
  • libtpu *
  • ml_dtypes >=0.5.3
  • numpy >=2.3.2
  • numpy *
  • opt-einsum *
  • scipy >=1.15.2
  • scipy >=1.15.0
  • setuptools *
  • tensorflow *
  • tensorstore *
  • wheel *
  • zstandard *
build/requirements_lock_3_13.txt pypi
  • absl-py ==2.5.0
  • astunparse ==1.6.3
  • auditwheel ==6.8.1
  • build ==1.5.0
  • certifi ==2026.7.22
  • charset-normalizer ==3.5.1
  • cloudpickle ==3.1.2
  • colorama ==0.4.6
  • contourpy ==1.3.3
  • cycler ==0.12.1
  • etils ==1.14.0
  • execnet ==2.1.2
  • filelock ==3.32.3
  • flatbuffers ==25.12.19
  • fonttools ==4.63.0
  • fsspec ==2026.7.0
  • gast ==0.7.0
  • google-pasta ==0.2.0
  • grpcio ==1.83.0
  • h5py ==3.14.0
  • hypothesis ==6.165.10
  • idna ==3.18
  • iniconfig ==2.3.0
  • jax ==0.11.1
  • jax-cuda12-pjrt ==0.11.1
  • jax-cuda12-plugin ==0.11.1
  • jax-cuda13-pjrt ==0.11.1
  • jax-cuda13-plugin ==0.11.1
  • jaxlib ==0.11.1
  • keras ==3.15.1
  • kiwisolver ==1.5.0
  • libclang ==18.1.1
  • libtpu ==0.0.46
  • markdown-it-py ==4.2.0
  • matplotlib ==3.11.1
  • mdurl ==0.1.2
  • ml-dtypes ==0.6.0
  • mpmath ==1.4.1
  • namex ==0.1.0
  • numpy ==2.1.3
  • numpy ==2.5.2
  • numpy-typing-compat ==20260602.2.1
  • numpy-typing-compat ==20260602.2.5
  • nvidia-cublas ==13.6.1.10
  • nvidia-cublas-cu12 ==12.9.2.10
  • nvidia-cuda-cccl ==13.3.3.4.1
  • nvidia-cuda-cccl-cu12 ==12.9.27
  • nvidia-cuda-crt ==13.3.73
  • nvidia-cuda-cupti ==13.3.75
  • nvidia-cuda-cupti-cu12 ==12.9.79
  • nvidia-cuda-nvcc ==13.3.73
  • nvidia-cuda-nvcc-cu12 ==12.9.86
  • nvidia-cuda-nvrtc ==13.3.33
  • nvidia-cuda-nvrtc-cu12 ==12.9.86
  • nvidia-cuda-runtime ==13.3.29
  • nvidia-cuda-runtime-cu12 ==12.9.79
  • nvidia-cudnn-cu12 ==9.24.0.43
  • nvidia-cudnn-cu13 ==9.24.0.43
  • nvidia-cufft ==12.3.0.29
  • nvidia-cufft-cu12 ==11.4.1.4
  • nvidia-cusolver ==12.2.6.9
  • nvidia-cusolver-cu12 ==11.7.5.82
  • nvidia-cusparse ==12.8.2.51
  • nvidia-cusparse-cu12 ==12.5.10.65
  • nvidia-nccl-cu12 ==2.31.2
  • nvidia-nccl-cu13 ==2.31.2
  • nvidia-nvjitlink ==13.3.33
  • nvidia-nvjitlink-cu12 ==12.9.86
  • nvidia-nvshmem-cu12 ==3.7.2
  • nvidia-nvshmem-cu13 ==3.7.2
  • nvidia-nvvm ==13.3.73
  • opt-einsum ==3.4.0
  • optree ==0.19.1
  • optype ==0.18.0
  • packaging ==26.3
  • pillow ==12.3.0
  • pluggy ==1.6.0
  • portpicker ==1.6.0
  • protobuf ==7.35.1
  • psutil ==7.2.2
  • pyelftools ==0.33
  • pygments ==2.21.0
  • pyparsing ==3.3.2
  • pyproject-hooks ==1.2.0
  • pytest ==9.1.1
  • pytest-xdist ==3.8.0
  • python-dateutil ==2.9.0.post0
  • requests ==2.34.2
  • rich ==15.0.0
  • scipy ==1.18.0
  • scipy-stubs ==1.18.0.1
  • setuptools ==84.0.0
  • six ==1.17.0
  • sortedcontainers ==2.4.0
  • tensorflow ==2.21.0
  • tensorstore ==0.1.85
  • termcolor ==3.3.0
  • typing-extensions ==4.16.0
  • urllib3 ==2.7.0
  • wheel ==0.48.0
  • wrapt ==2.3.0
  • zipp ==4.1.0
  • zstandard ==0.25.0
build/requirements_lock_3_15.txt pypi
  • absl-py ==2.5.0
  • auditwheel ==6.8.1
  • build ==1.5.0
  • cloudpickle ==3.1.2
  • colorama ==0.4.6
  • etils ==1.14.0
  • execnet ==2.1.2
  • filelock ==3.32.3
  • flatbuffers ==25.12.19
  • fsspec ==2026.7.0
  • hypothesis ==6.165.10
  • iniconfig ==2.3.0
  • jax ==0.11.1
  • jaxlib ==0.11.1
  • libtpu ==0.0.46
  • markdown-it-py ==4.2.0
  • mdurl ==0.1.2
  • ml-dtypes ==0.6.0
  • mpmath ==1.4.1
  • numpy ==2.5.2
  • numpy-typing-compat ==20260602.2.5
  • nvidia-cublas ==13.6.1.10
  • nvidia-cublas-cu12 ==12.9.2.10
  • nvidia-cuda-cccl ==13.3.3.4.1
  • nvidia-cuda-cccl-cu12 ==12.9.27
  • nvidia-cuda-crt ==13.3.73
  • nvidia-cuda-cupti ==13.3.75
  • nvidia-cuda-cupti-cu12 ==12.9.79
  • nvidia-cuda-nvcc ==13.3.73
  • nvidia-cuda-nvcc-cu12 ==12.9.86
  • nvidia-cuda-nvrtc ==13.3.33
  • nvidia-cuda-nvrtc-cu12 ==12.9.86
  • nvidia-cuda-runtime ==13.3.29
  • nvidia-cuda-runtime-cu12 ==12.9.79
  • nvidia-cudnn-cu12 ==9.24.0.43
  • nvidia-cudnn-cu13 ==9.24.0.43
  • nvidia-cufft ==12.3.0.29
  • nvidia-cufft-cu12 ==11.4.1.4
  • nvidia-cusolver ==12.2.6.9
  • nvidia-cusolver-cu12 ==11.7.5.82
  • nvidia-cusparse ==12.8.2.51
  • nvidia-cusparse-cu12 ==12.5.10.65
  • nvidia-nccl-cu12 ==2.31.2
  • nvidia-nccl-cu13 ==2.31.2
  • nvidia-nvjitlink ==13.3.33
  • nvidia-nvjitlink-cu12 ==12.9.86
  • nvidia-nvshmem-cu12 ==3.7.2
  • nvidia-nvshmem-cu13 ==3.7.2
  • nvidia-nvvm ==13.3.73
  • opt-einsum ==3.4.0
  • optype ==0.18.0
  • packaging ==26.3
  • pillow ==12.3.0
  • pluggy ==1.6.0
  • portpicker ==1.6.0
  • psutil ==7.2.2
  • pyelftools ==0.33
  • pygments ==2.21.0
  • pyproject-hooks ==1.2.0
  • pytest ==9.1.1
  • pytest-xdist ==3.8.0
  • rich ==15.0.0
  • scipy ==1.18.0
  • scipy-stubs ==1.18.0.1
  • setuptools ==84.0.0
  • sortedcontainers ==2.4.0
  • tensorstore ==0.1.85
  • typing-extensions ==4.16.0
  • wheel ==0.48.0
  • zipp ==4.1.0
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build/nvidia-requirements.txt pypi
  • nvidia-cublas >=13.0.0.19
  • nvidia-cublas-cu12 >=12.1.3.1
  • nvidia-cuda-crt >=13.0.48
  • nvidia-cuda-cupti >=13.0.48
  • nvidia-cuda-cupti-cu12 >=12.1.105
  • nvidia-cuda-nvcc >=13.0.48
  • nvidia-cuda-nvcc-cu12 >=12.6.85
  • nvidia-cuda-nvrtc >=13.0.48
  • nvidia-cuda-nvrtc-cu12 >=12.1.55
  • nvidia-cuda-runtime >=13.0.48
  • nvidia-cuda-runtime-cu12 >=12.1.105
  • nvidia-cudnn-cu12 >=9.8,<10.0
  • nvidia-cudnn-cu13 >=9.12.0.46,<10.0
  • nvidia-cufft >=12.0.0.15
  • nvidia-cufft-cu12 >=11.0.2.54
  • nvidia-cusolver >=12.0.3.29
  • nvidia-cusolver-cu12 >=11.4.5.107
  • nvidia-cusparse >=12.6.2.49
  • nvidia-cusparse-cu12 >=12.1.0.106
  • nvidia-nccl-cu12 >=2.18.1
  • nvidia-nccl-cu13 >=2.27.7
  • nvidia-nvjitlink >=13.0.39
  • nvidia-nvjitlink-cu12 >=12.1.105
  • nvidia-nvshmem-cu12 >=3.2.5
  • nvidia-nvshmem-cu13 >=3.3.20
  • nvidia-nvvm >=13.0.48
build/requirements_lock_3_12.txt pypi
  • absl-py ==2.5.0
  • astunparse ==1.6.3
  • auditwheel ==6.8.1
  • build ==1.5.0
  • certifi ==2026.7.22
  • charset-normalizer ==3.5.1
  • cloudpickle ==3.1.2
  • colorama ==0.4.6
  • contourpy ==1.3.3
  • cycler ==0.12.1
  • etils ==1.14.0
  • execnet ==2.1.2
  • filelock ==3.32.3
  • flatbuffers ==25.12.19
  • fonttools ==4.63.0
  • fsspec ==2026.7.0
  • gast ==0.7.0
  • google-pasta ==0.2.0
  • grpcio ==1.83.0
  • h5py ==3.14.0
  • hypothesis ==6.165.10
  • idna ==3.18
  • iniconfig ==2.3.0
  • jax ==0.11.1
  • jax-cuda12-pjrt ==0.11.1
  • jax-cuda12-plugin ==0.11.1
  • jax-cuda13-pjrt ==0.11.1
  • jax-cuda13-plugin ==0.11.1
  • jaxlib ==0.11.1
  • keras ==3.15.1
  • kiwisolver ==1.5.0
  • libclang ==18.1.1
  • libtpu ==0.0.46
  • markdown-it-py ==4.2.0
  • matplotlib ==3.11.1
  • mdurl ==0.1.2
  • ml-dtypes ==0.6.0
  • mpmath ==1.4.1
  • namex ==0.1.0
  • numpy ==2.1.3
  • numpy ==2.5.2
  • numpy-typing-compat ==20260602.2.1
  • numpy-typing-compat ==20260602.2.5
  • nvidia-cublas ==13.6.1.10
  • nvidia-cublas-cu12 ==12.9.2.10
  • nvidia-cuda-cccl ==13.3.3.4.1
  • nvidia-cuda-cccl-cu12 ==12.9.27
  • nvidia-cuda-crt ==13.3.73
  • nvidia-cuda-cupti ==13.3.75
  • nvidia-cuda-cupti-cu12 ==12.9.79
  • nvidia-cuda-nvcc ==13.3.73
  • nvidia-cuda-nvcc-cu12 ==12.9.86
  • nvidia-cuda-nvrtc ==13.3.33
  • nvidia-cuda-nvrtc-cu12 ==12.9.86
  • nvidia-cuda-runtime ==13.3.29
  • nvidia-cuda-runtime-cu12 ==12.9.79
  • nvidia-cudnn-cu12 ==9.24.0.43
  • nvidia-cudnn-cu13 ==9.24.0.43
  • nvidia-cufft ==12.3.0.29
  • nvidia-cufft-cu12 ==11.4.1.4
  • nvidia-cusolver ==12.2.6.9
  • nvidia-cusolver-cu12 ==11.7.5.82
  • nvidia-cusparse ==12.8.2.51
  • nvidia-cusparse-cu12 ==12.5.10.65
  • nvidia-nccl-cu12 ==2.31.2
  • nvidia-nccl-cu13 ==2.31.2
  • nvidia-nvjitlink ==13.3.33
  • nvidia-nvjitlink-cu12 ==12.9.86
  • nvidia-nvshmem-cu12 ==3.7.2
  • nvidia-nvshmem-cu13 ==3.7.2
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  • opt-einsum ==3.4.0
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  • requests ==2.34.2
  • rich ==15.0.0
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  • setuptools ==84.0.0
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  • tensorflow ==2.21.0
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  • wheel ==0.48.0
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build/requirements_lock_3_14.txt pypi
  • absl-py ==2.5.0
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  • build ==1.5.0
  • cloudpickle ==3.1.2
  • colorama ==0.4.6
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  • hypothesis ==6.165.10
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  • jax ==0.11.1
  • jax-cuda12-pjrt ==0.11.1
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  • jax-cuda13-pjrt ==0.11.1
  • jax-cuda13-plugin ==0.11.1
  • jaxlib ==0.11.1
  • kiwisolver ==1.5.0
  • libtpu ==0.0.46
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  • mdurl ==0.1.2
  • ml-dtypes ==0.6.0
  • mpmath ==1.4.1
  • numpy ==2.5.2
  • numpy-typing-compat ==20260602.2.5
  • nvidia-cublas ==13.6.1.10
  • nvidia-cublas-cu12 ==12.9.2.10
  • nvidia-cuda-cccl ==13.3.3.4.1
  • nvidia-cuda-cccl-cu12 ==12.9.27
  • nvidia-cuda-crt ==13.3.73
  • nvidia-cuda-cupti ==13.3.75
  • nvidia-cuda-cupti-cu12 ==12.9.79
  • nvidia-cuda-nvcc ==13.3.73
  • nvidia-cuda-nvcc-cu12 ==12.9.86
  • nvidia-cuda-nvrtc ==13.3.33
  • nvidia-cuda-nvrtc-cu12 ==12.9.86
  • nvidia-cuda-runtime ==13.3.29
  • nvidia-cuda-runtime-cu12 ==12.9.79
  • nvidia-cudnn-cu12 ==9.24.0.43
  • nvidia-cudnn-cu13 ==9.24.0.43
  • nvidia-cufft ==12.3.0.29
  • nvidia-cufft-cu12 ==11.4.1.4
  • nvidia-cusolver ==12.2.6.9
  • nvidia-cusolver-cu12 ==11.7.5.82
  • nvidia-cusparse ==12.8.2.51
  • nvidia-cusparse-cu12 ==12.5.10.65
  • nvidia-nccl-cu12 ==2.31.2
  • nvidia-nccl-cu13 ==2.31.2
  • nvidia-nvjitlink ==13.3.33
  • nvidia-nvjitlink-cu12 ==12.9.86
  • nvidia-nvshmem-cu12 ==3.7.2
  • nvidia-nvshmem-cu13 ==3.7.2
  • nvidia-nvvm ==13.3.73
  • opt-einsum ==3.4.0
  • optype ==0.18.0
  • packaging ==26.3
  • pillow ==12.3.0
  • pluggy ==1.6.0
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  • pyelftools ==0.33
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  • pyparsing ==3.3.2
  • pyproject-hooks ==1.2.0
  • pytest ==9.1.1
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  • python-dateutil ==2.9.0.post0
  • rich ==15.0.0
  • scipy ==1.18.0
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  • typing-extensions ==4.16.0
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.github/workflows/bazel_oneapi_presubmit.yml actions
.github/workflows/bazel_rocm.yml actions
  • ./.github/actions/download-jax-rocm-wheels * composite
  • ./.github/actions/upload-test-artifacts * composite
  • actions/checkout 3d3c42e5aac5ba805825da76410c181273ba90b1 composite
  • aws-actions/configure-aws-credentials e6de054238d6b7531b4efff3b6587d9aade6a06c composite
  • google-ml-infra/actions/ci_connection 7f5ca0c263a81ed09ea276524c1b9192f1304e3c composite
.github/workflows/bazel_rocm_presubmit.yml actions
.github/workflows/bazel_test_tpu.yml actions
  • ./.github/actions/download-jax-cpu-wheels * composite
  • ./.github/actions/upload-test-artifacts * composite
  • actions/checkout 3d3c42e5aac5ba805825da76410c181273ba90b1 composite
  • google-ml-infra/actions/ci_connection 7f5ca0c263a81ed09ea276524c1b9192f1304e3c composite
.github/workflows/cloud-tpu-ci-presubmit.yml actions
.github/workflows/community_release_actions.yml actions
  • 2428392/gh-truncate-string-action b3ff790d21cf42af3ca7579146eedb93c8fb0757 composite
  • tsickert/discord-webhook b217a69502f52803de774ded2b1ab7c282e99645 composite
.github/workflows/documentation.yml actions
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  • actions/checkout 3d3c42e5aac5ba805825da76410c181273ba90b1 composite
  • google-ml-infra/actions/setup-uv-python a1817800cb84c752378772c2a02781cf8309a399 composite
build/requirements_lock_3_14_ft.txt pypi
  • absl-py ==2.5.0
  • auditwheel ==6.8.1
  • build ==1.5.0
  • cloudpickle ==3.1.2
  • colorama ==0.4.6
  • contourpy ==1.3.3
  • cycler ==0.12.1
  • etils ==1.14.0
  • execnet ==2.1.2
  • filelock ==3.32.3
  • flatbuffers ==25.12.19
  • fonttools ==4.63.0
  • fsspec ==2026.7.0
  • hypothesis ==6.165.10
  • iniconfig ==2.3.0
  • jax ==0.11.1
  • jax-cuda12-pjrt ==0.11.1
  • jax-cuda12-plugin ==0.11.1
  • jax-cuda13-pjrt ==0.11.1
  • jax-cuda13-plugin ==0.11.1
  • jaxlib ==0.11.1
  • kiwisolver ==1.5.0
  • libtpu ==0.0.46
  • markdown-it-py ==4.2.0
  • matplotlib ==3.11.1
  • mdurl ==0.1.2
  • ml-dtypes ==0.6.0
  • mpmath ==1.4.1
  • numpy ==2.5.2
  • numpy-typing-compat ==20260602.2.5
  • nvidia-cublas ==13.6.1.10
  • nvidia-cublas-cu12 ==12.9.2.10
  • nvidia-cuda-cccl ==13.3.3.4.1
  • nvidia-cuda-cccl-cu12 ==12.9.27
  • nvidia-cuda-crt ==13.3.73
  • nvidia-cuda-cupti ==13.3.75
  • nvidia-cuda-cupti-cu12 ==12.9.79
  • nvidia-cuda-nvcc ==13.3.73
  • nvidia-cuda-nvcc-cu12 ==12.9.86
  • nvidia-cuda-nvrtc ==13.3.33
  • nvidia-cuda-nvrtc-cu12 ==12.9.86
  • nvidia-cuda-runtime ==13.3.29
  • nvidia-cuda-runtime-cu12 ==12.9.79
  • nvidia-cudnn-cu12 ==9.24.0.43
  • nvidia-cudnn-cu13 ==9.24.0.43
  • nvidia-cufft ==12.3.0.29
  • nvidia-cufft-cu12 ==11.4.1.4
  • nvidia-cusolver ==12.2.6.9
  • nvidia-cusolver-cu12 ==11.7.5.82
  • nvidia-cusparse ==12.8.2.51
  • nvidia-cusparse-cu12 ==12.5.10.65
  • nvidia-nccl-cu12 ==2.31.2
  • nvidia-nccl-cu13 ==2.31.2
  • nvidia-nvjitlink ==13.3.33
  • nvidia-nvjitlink-cu12 ==12.9.86
  • nvidia-nvshmem-cu12 ==3.7.2
  • nvidia-nvshmem-cu13 ==3.7.2
  • nvidia-nvvm ==13.3.73
  • opt-einsum ==3.4.0
  • optype ==0.18.0
  • packaging ==26.3
  • pillow ==12.3.0
  • pluggy ==1.6.0
  • portpicker ==1.6.0
  • psutil ==7.2.2
  • pyelftools ==0.33
  • pygments ==2.21.0
  • pyparsing ==3.3.2
  • pyproject-hooks ==1.2.0
  • pytest ==9.1.1
  • pytest-xdist ==3.8.0
  • python-dateutil ==2.9.0.post0
  • rich ==15.0.0
  • scipy ==1.18.0
  • scipy-stubs ==1.18.0.1
  • setuptools ==84.0.0
  • six ==1.17.0
  • sortedcontainers ==2.4.0
  • tensorstore ==0.1.85
  • typing-extensions ==4.16.0
  • wheel ==0.48.0
  • zipp ==4.1.0
build/requirements_lock_3_15_ft.txt pypi
  • absl-py ==2.5.0
  • auditwheel ==6.8.1
  • build ==1.5.0
  • cloudpickle ==3.1.2
  • colorama ==0.4.6
  • etils ==1.14.0
  • execnet ==2.1.2
  • filelock ==3.32.3
  • flatbuffers ==25.12.19
  • fsspec ==2026.7.0
  • hypothesis ==6.165.10
  • iniconfig ==2.3.0
  • jax ==0.11.1
  • jaxlib ==0.11.1
  • libtpu ==0.0.46
  • markdown-it-py ==4.2.0
  • mdurl ==0.1.2
  • ml-dtypes ==0.6.0
  • mpmath ==1.4.1
  • numpy ==2.5.2
  • numpy-typing-compat ==20260602.2.5
  • nvidia-cublas ==13.6.1.10
  • nvidia-cublas-cu12 ==12.9.2.10
  • nvidia-cuda-cccl ==13.3.3.4.1
  • nvidia-cuda-cccl-cu12 ==12.9.27
  • nvidia-cuda-crt ==13.3.73
  • nvidia-cuda-cupti ==13.3.75
  • nvidia-cuda-cupti-cu12 ==12.9.79
  • nvidia-cuda-nvcc ==13.3.73
  • nvidia-cuda-nvcc-cu12 ==12.9.86
  • nvidia-cuda-nvrtc ==13.3.33
  • nvidia-cuda-nvrtc-cu12 ==12.9.86
  • nvidia-cuda-runtime ==13.3.29
  • nvidia-cuda-runtime-cu12 ==12.9.79
  • nvidia-cudnn-cu12 ==9.24.0.43
  • nvidia-cudnn-cu13 ==9.24.0.43
  • nvidia-cufft ==12.3.0.29
  • nvidia-cufft-cu12 ==11.4.1.4
  • nvidia-cusolver ==12.2.6.9
  • nvidia-cusolver-cu12 ==11.7.5.82
  • nvidia-cusparse ==12.8.2.51
  • nvidia-cusparse-cu12 ==12.5.10.65
  • nvidia-nccl-cu12 ==2.31.2
  • nvidia-nccl-cu13 ==2.31.2
  • nvidia-nvjitlink ==13.3.33
  • nvidia-nvjitlink-cu12 ==12.9.86
  • nvidia-nvshmem-cu12 ==3.7.2
  • nvidia-nvshmem-cu13 ==3.7.2
  • nvidia-nvvm ==13.3.73
  • opt-einsum ==3.4.0
  • optype ==0.18.0
  • packaging ==26.3
  • pillow ==12.3.0
  • pluggy ==1.6.0
  • portpicker ==1.6.0
  • psutil ==7.2.2
  • pyelftools ==0.33
  • pygments ==2.21.0
  • pyproject-hooks ==1.2.0
  • pytest ==9.1.1
  • pytest-xdist ==3.8.0
  • rich ==15.0.0
  • scipy ==1.18.0
  • scipy-stubs ==1.18.0.1
  • setuptools ==84.0.0
  • sortedcontainers ==2.4.0
  • tensorstore ==0.1.85
  • typing-extensions ==4.16.0
  • wheel ==0.48.0
  • zipp ==4.1.0
examples/ffi/pyproject.toml pypi
  • jax *
jax_plugins/oneapi/pyproject.toml pypi
jax_plugins/oneapi/setup.py pypi
jax_plugins/rocm/pyproject.toml pypi
jax_plugins/rocm/setup.py pypi
jaxlib/mosaic/gpu/wheel/setup.py pypi