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
- Host: GitHub
- URL: https://github.com/jax-ml/jax
- Owner: jax-ml
- License: apache-2.0
- Created: 2018-10-25T21:25:02.000Z (almost 8 years ago)
- Default Branch: main
- Last Pushed: 2026-08-19T13:02:20.000Z (6 days ago)
- Last Synced: 2026-08-19T13:34:35.512Z (6 days ago)
- Topics: jax
- Language: Python
- Homepage: https://docs.jax.dev
- Size: 177 MB
- Stars: 36,178
- Watchers: 328
- Forks: 3,738
- Open Issues: 2,586
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Citation: CITATION.bib
- Authors: AUTHORS
Owner metadata:
- Name: jax-ml
- Login: jax-ml
- Email:
- Kind: organization
- Description: miscellaneous libraries and projects relating to JAX
- Website: github.com/google/jax
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/58486408?v=4
- Repositories: 6
- Last Synced at: 2023-03-06T21:12:23.854Z
- Profile URL: https://github.com/jax-ml
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 | 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
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
- Total packages: 25
-
Total downloads:
- pypi: 38,989,205 last-month
- conda: 5,411,840 total
- Total docker downloads: 1,117,814,720
- Total dependent packages: 1,385 (may contain duplicates)
- Total dependent repositories: 10,632 (may contain duplicates)
- Total versions: 713
- Total maintainers: 24
nixpkgs-unstable: python313Packages.jax-cuda12-plugin
JAX Plugin for CUDA12
- Homepage: https://github.com/jax-ml/jax/tree/main/jax_plugins/cuda
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/jax-cuda12-plugin/default.nix#L127
- Licenses: Apache-2.0
- Latest release: 0.9.2 (published 5 months ago)
- Last Synced: 2026-04-02T19:03:02.873Z (5 months ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 0.044%
- Stargazers count: 0.077%
- Forks count: 0.098%
- Maintainers (1)
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)
- Homepage: https://github.com/jax-ml/jax
- Documentation: https://jax-rocm7-pjrt.readthedocs.io/
- Licenses: Apache-2.0
- Latest release: 0.11.1 (published 7 days ago)
- Last Synced: 2026-08-23T15:33:04.767Z (1 day ago)
- Versions: 23
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 13,294 Last month
-
Rankings:
- Dependent packages count: 8.493%
- Average: 28.249%
- Dependent repos count: 48.006%
- Maintainers (7)
pypi.org: jax-rocm7-plugin
JAX Plugin for AMD GPUs (ROCm:unknown)
- Homepage: https://github.com/jax-ml/jax
- Documentation: https://jax-rocm7-plugin.readthedocs.io/
- Licenses: Apache-2.0
- Latest release: 0.11.1 (published 7 days ago)
- Last Synced: 2026-08-23T15:32:36.269Z (1 day ago)
- Versions: 23
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 13,555 Last month
-
Rankings:
- Dependent packages count: 8.493%
- Average: 28.249%
- Dependent repos count: 48.006%
- Maintainers (7)
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
- Homepage: https://github.com/jax-ml/jax/tree/main/jax_plugins/cuda
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/jax-cuda12-pjrt/default.nix#L95
- Licenses: Apache-2.0
- Latest release: 0.9.2 (published 5 months ago)
- Last Synced: 2026-04-03T10:08:53.019Z (5 months ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
- Maintainers (1)
nixpkgs-unstable: python314Packages.jax-cuda12-plugin
JAX Plugin for CUDA12
- Homepage: https://github.com/jax-ml/jax/tree/main/jax_plugins/cuda
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/jax-cuda12-plugin/default.nix#L127
- Licenses: Apache-2.0
- Latest release: 0.8.2 (published 7 months ago)
- Last Synced: 2026-07-28T18:00:35.247Z (28 days ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
- Maintainers (1)
nixpkgs-unstable: python314Packages.jax-cuda12-pjrt
JAX XLA PJRT Plugin for NVIDIA GPUs
- Homepage: https://github.com/jax-ml/jax/tree/main/jax_plugins/cuda
- Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/jax-cuda12-pjrt/default.nix#L95
- Licenses: Apache-2.0
- Latest release: 0.8.2 (published 7 months ago)
- Last Synced: 2026-03-08T04:41:18.262Z (6 months ago)
- Versions: 1
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
- Maintainers (1)
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- 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
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- jax-cuda12-pjrt ==0.11.1
- jax-cuda12-plugin ==0.11.1
- jax-cuda13-pjrt ==0.11.1
- jax-cuda13-plugin ==0.11.1
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- 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
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- 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
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- nvidia-cusparse-cu12 ==12.5.10.65
- nvidia-nccl-cu12 ==2.31.2
- nvidia-nccl-cu13 ==2.31.2
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- nvidia-nvshmem-cu12 ==3.7.2
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- nvidia-nvvm ==13.3.73
- opt-einsum ==3.4.0
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- packaging ==26.3
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- pytest ==9.1.1
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- python-dateutil ==2.9.0.post0
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- cloudpickle ==3.1.2
- colorama ==0.4.6
- etils ==1.14.0
- execnet ==2.1.2
- filelock ==3.32.3
- flatbuffers ==25.12.19
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- hypothesis ==6.165.10
- iniconfig ==2.3.0
- jax ==0.11.1
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- 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
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- nvidia-cusolver-cu12 ==11.7.5.82
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- nvidia-cusparse-cu12 ==12.5.10.65
- nvidia-nccl-cu12 ==2.31.2
- nvidia-nccl-cu13 ==2.31.2
- nvidia-nvjitlink ==13.3.33
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- nvidia-nvshmem-cu12 ==3.7.2
- nvidia-nvshmem-cu13 ==3.7.2
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- wheel ==0.48.0
- zipp ==4.1.0
- jax *