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

Score: 30.478406081898246

Last synced: about 11 hours ago
JSON representation

Repository metadata:

A stand-alone implementation of several NumPy dtype extensions used in machine learning.


Owner metadata:


GitHub Events

Total
Last Year

Committers metadata

Last synced: about 11 hours ago

Total Commits: 309
Total Committers: 38
Avg Commits per committer: 8.132
Development Distribution Score (DDS): 0.709

Commits in past year: 73
Committers in past year: 15
Avg Commits per committer in past year: 4.867
Development Distribution Score (DDS) in past year: 0.644

Name Email Commits
Jake VanderPlas j****p@g****m 90
dependabot[bot] 4****] 62
Peter Hawkins p****s@g****m 57
Jake VanderPlas v****s@g****m 16
Antonio Sanchez c****s@g****m 12
David Majnemer m****r@g****m 9
The ml_dtypes Authors n****y@g****m 8
Sebastian Berg s****b@n****m 7
Sergey Kozub s****b@n****m 6
Alexander Pivovarov p****a@a****m 4
Paul Balanca p****b@g****i 3
vfdev-5 v****5@g****m 3
Adrian Ciausu a****u@g****m 2
Daniel Ng d****g@g****m 2
Patrik Fimml p****l@n****m 2
Raashish Aggarwal 9****1 2
Reed Wanderman-Milne r****m@g****m 2
Sergei Lebedev s****v@g****m 2
sandeepgupta12 s****2@i****m 1
mohsinm-dev m****v@g****m 1
Gregory Pataky g****y@g****m 1
Victor Hugo Vianna Silva v****a@g****m 1
lsb l****n@g****m 1
Tzu-Wei Sung t****g@g****m 1
Swudu Susuwu 2****u@g****m 1
Sebastian Turner s****4@g****m 1
Parker Schuh p****s@g****m 1
Johannes Reifferscheid j****s@g****m 1
Jean-Baptiste VESLIN 1****e 1
Jake Harmon j****n@g****m 1
and 8 more...

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 67
Total pull requests: 398
Average time to close issues: about 2 months
Average time to close pull requests: 12 days
Total issue authors: 45
Total pull request authors: 33
Average comments per issue: 1.81
Average comments per pull request: 0.72
Merged pull request: 283
Bot issues: 0
Bot pull requests: 193

Past year issues: 8
Past year pull requests: 70
Past year average time to close issues: 5 months
Past year average time to close pull requests: about 1 month
Past year issue authors: 7
Past year pull request authors: 14
Past year average comments per issue: 1.13
Past year average comments per pull request: 1.3
Past year merged pull request: 48
Past year bot issues: 0
Past year bot pull requests: 41

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

Top Issue Authors

  • hawkinsp (6)
  • apivovarov (5)
  • jakevdp (5)
  • justinchuby (3)
  • seberg (3)
  • mrahtz (2)
  • daskol (2)
  • awf (2)
  • colehaus (2)
  • wonjeon (2)
  • oToToT (1)
  • sw23 (1)
  • acampove (1)
  • tboerstad (1)
  • joshlk (1)

Top Pull Request Authors

  • copybara-service[bot] (100)
  • jakevdp (97)
  • dependabot[bot] (93)
  • hawkinsp (38)
  • sergey-kozub (9)
  • apivovarov (8)
  • balancap (6)
  • vfdev-5 (6)
  • seberg (4)
  • SwuduSusuwu (4)
  • EylonKrause (3)
  • sandeepgupta12 (2)
  • DeanTMaxim (2)
  • vatsalsalla (2)
  • raashish1601 (2)

Top Issue Labels

  • enhancement (7)
  • bug (3)
  • contributions welcome (3)
  • pull ready (1)

Top Pull Request Labels

  • pull ready (241)
  • dependencies (93)
  • github_actions (66)
  • python (27)
  • documentation (2)

Package metadata

pypi.org: ml-dtypes

ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning.

  • Homepage:
  • Documentation: https://ml-dtypes.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release: 0.6.0 (published 3 months ago)
  • Last Synced: 2026-11-02T01:55:56.859Z (1 day ago)
  • Versions: 19
  • Dependent Packages: 57
  • Dependent Repositories: 2,044
  • Downloads: 27,704,997 Last month
  • Docker Downloads: 1,084,420,341
  • Rankings:
    • Downloads: 0.137%
    • Dependent repos count: 0.242%
    • Dependent packages count: 0.402%
    • Average: 0.406%
    • Docker downloads count: 0.844%
  • Maintainers (2)
proxy.golang.org: github.com/jax-ml/ml_dtypes

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/jax-ml/ml_dtypes#section-documentation
  • Licenses: apache-2.0
  • Latest release: v0.6.0 (published 3 months ago)
  • Last Synced: 2026-11-02T01:36:32.639Z (1 day ago)
  • Versions: 17
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent packages count: 4.262%
    • Average: 4.408%
    • Dependent repos count: 4.553%
spack.io: py-ml-dtypes

A stand-alone implementation of several NumPy dtype extensions used in machine learning libraries.

  • Homepage: https://github.com/jax-ml/ml_dtypes
  • Licenses: []
  • Latest release: (published 1 day ago)
  • Last Synced: 2026-11-02T01:36:32.702Z (1 day ago)
  • Versions: 0
  • Dependent Packages: 5
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 0.0%
    • Stargazers count: 19.855%
    • Average: 26.247%
    • Forks count: 26.487%
    • Dependent packages count: 58.645%
  • Maintainers (1)
anaconda.org: ml_dtypes

ml_dtypes is a stand-alone implementation of several NumPy dtype extensions used in machine learning libraries, including: bfloat16: an alternative to the standard float16 format float8_*: several experimental 8-bit floating point representations including: float8_e4m3b11fnuz, float8_e4m3fn, float8_e4m3fnuz, float8_e5m2, float8_e5m2fnuz int4 and uint4: low precision integer types.

  • Homepage: https://pypi.org/project/ml-dtypes
  • Licenses: Apache-2.0
  • Latest release: 0.5.4 (published 12 months ago)
  • Last Synced: 2026-04-01T09:03:32.363Z (7 months ago)
  • Versions: 7
  • Dependent Packages: 2
  • Dependent Repositories: 0
  • Downloads: 12,874 Total
  • Rankings:
    • Dependent packages count: 41.026%
    • Stargazers count: 44.991%
    • Average: 49.305%
    • Forks count: 53.534%
    • Dependent repos count: 57.67%
anaconda.org: libml_dtypes-headers

A stand-alone implementation of several NumPy dtype extensions used in machine learning.

  • Homepage: https://github.com/jax-ml/ml_dtypes
  • Licenses: Apache-2.0
  • Latest release: 0.5.1 (published over 1 year ago)
  • Last Synced: 2026-07-30T02:03:57.572Z (3 months ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 401 Total
  • Rankings:
    • Dependent packages count: 51.216%
    • Average: 53.761%
    • Dependent repos count: 56.307%
nixpkgs-unstable: python313Packages.ml-dtypes

Stand-alone implementation of several NumPy dtype extensions used in machine learning libraries

nixpkgs-24.11: python311Packages.ml-dtypes

Stand-alone implementation of several NumPy dtype extensions used in machine learning libraries

gentoo-portage: dev-python/ml-dtypes

A stand-alone implementation of several NumPy dtype extensions

  • Homepage: https://github.com/jax-ml/ml_dtypes/
  • Documentation: https://packages.gentoo.org/packages/dev-python/ml-dtypes
  • Licenses: Apache-2.0
  • Latest release: 0.5.4 (published 6 months ago)
  • Last Synced: 2026-05-27T02:28:33.334Z (5 months ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 0.0%
    • Dependent packages count: 0.0%
    • Average: 100%
nixpkgs-23.11: python311Packages.ml-dtypes

A stand-alone implementation of several NumPy dtype extensions used in machine learning libraries

nixpkgs-24.05: python311Packages.ml-dtypes

A stand-alone implementation of several NumPy dtype extensions used in machine learning libraries

nixpkgs-24.05: python312Packages.ml-dtypes

A stand-alone implementation of several NumPy dtype extensions used in machine learning libraries

nixpkgs-23.11: python310Packages.ml-dtypes

A stand-alone implementation of several NumPy dtype extensions used in machine learning libraries

nixpkgs-unstable: python314Packages.ml-dtypes

Stand-alone implementation of several NumPy dtype extensions used in machine learning libraries

guix: python-ml-dtypes

NumPy dtype extensions used in machine learning

nixpkgs-24.11: python312Packages.ml-dtypes

Stand-alone implementation of several NumPy dtype extensions used in machine learning libraries


Dependencies

.github/workflows/test.yml actions
  • actions/checkout v3 composite
  • actions/setup-python v4 composite
  • pre-commit/action v3.0.0 composite
.github/workflows/wheels.yml actions
  • actions/checkout v3 composite
  • actions/download-artifact v3 composite
  • actions/setup-python v4 composite
  • actions/upload-artifact v3 composite
  • docker/setup-qemu-action v2 composite
  • pypa/gh-action-pypi-publish v1.5.0 composite
pyproject.toml pypi
  • numpy >1.20
  • numpy >=1.21.2; python_version>'3.9'
  • numpy >=1.23.3; python_version>'3.10'
  • numpy >=1.26.0; python_version>'3.12'