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https://github.com/rapidsai/cuml

cuda gpu machine-learning machine-learning-algorithms nvidia

Score: 26.659417051371904

Last synced: 37 minutes ago
JSON representation

Repository metadata:

cuML - RAPIDS Machine Learning Library


Owner metadata:


Committers metadata

Last synced: 3 days ago

Total Commits: 12,839
Total Committers: 193
Avg Commits per committer: 66.523
Development Distribution Score (DDS): 0.855

Commits in past year: 682
Committers in past year: 45
Avg Commits per committer in past year: 15.156
Development Distribution Score (DDS) in past year: 0.664

Name Email Commits
Corey J. Nolet c****t@g****m 1856
Thejaswi Rao r****i@g****m 1677
Dante Gama Dessavre d****g@n****m 1628
divyegala d****a@g****m 449
Vishal Mehta v****m@n****m 346
Louis Sugy l****y@n****m 322
salonijain27 s****6@g****m 322
Jim Crist-Harif j****f@g****m 308
Salonijain27 s****6@g****u 303
Victor Lafargue v****e@n****m 299
Tamas Bela Feher t****r@n****m 272
Simon Andersen s****n@n****m 247
Max Rietmann m****n@n****m 221
John Zedlewski j****i@n****m 216
Nanthini Balasubramanian n****b@n****m 199
Simon Adorf s****f@n****m 191
Onur Yilmaz o****z@n****m 178
Saloni Jain s****6@r****u 172
Andy Adinets a****s@n****m 162
Philip Hyunsu Cho c****1@c****u 153
Raymond Douglass r****y@r****m 141
Daniel Han-Chen d****n@g****m 135
Mike Wendt m****t@m****m 131
Vinay Deshpande v****d@n****m 123
Nick Becker n****0@g****m 117
Levs Dolgovs l****s@n****m 114
William Hicks w****s 109
Bradley Dice b****e@b****m 104
Michael Demoret m****t@n****m 101
Saloni Jain s****n@d****m 99
and 163 more...

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 762
Total pull requests: 1,884
Average time to close issues: 11 months
Average time to close pull requests: 23 days
Total issue authors: 301
Total pull request authors: 84
Average comments per issue: 2.05
Average comments per pull request: 2.2
Merged pull request: 1,305
Bot issues: 2
Bot pull requests: 183

Past year issues: 153
Past year pull requests: 284
Past year average time to close issues: 16 days
Past year average time to close pull requests: 4 days
Past year issue authors: 41
Past year pull request authors: 34
Past year average comments per issue: 0.95
Past year average comments per pull request: 1.77
Past year merged pull request: 152
Past year bot issues: 1
Past year bot pull requests: 18

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/rapidsai/cuml

Top Issue Authors

  • csadorf (125)
  • jcrist (58)
  • dantegd (35)
  • beckernick (27)
  • divyegala (21)
  • cjnolet (19)
  • aamijar (18)
  • betatim (15)
  • wphicks (14)
  • jinsolp (12)
  • jameslamb (10)
  • jakirkham (9)
  • Intron7 (8)
  • hcho3 (8)
  • teju85 (7)

Top Pull Request Authors

  • jcrist (259)
  • rapids-bot[bot] (183)
  • csadorf (166)
  • dantegd (129)
  • bdice (126)
  • hcho3 (79)
  • betatim (74)
  • viclafargue (69)
  • jameslamb (65)
  • vyasr (63)
  • GPUtester (57)
  • divyegala (48)
  • wphicks (42)
  • KyleFromNVIDIA (38)
  • mroeschke (34)

Top Issue Labels

  • ? - Needs Triage (331)
  • bug (295)
  • feature request (148)
  • question (62)
  • inactive-90d (39)
  • inactive-30d (38)
  • Cython / Python (35)
  • doc (34)
  • cuml-accel (33)
  • improvement (24)
  • ci (22)
  • CUDA / C++ (15)
  • tests (14)
  • Tech Debt (13)
  • good first issue (13)
  • 0 - Backlog (12)
  • cuml-cpu (9)
  • Dask / cuml.dask (9)
  • sklearn-api-compat (8)
  • algo: svm (7)
  • algo: umap (7)
  • information-requested (6)
  • non-breaking (5)
  • New Algorithm (5)
  • Tracker (5)
  • algo: neighbors (5)
  • algorithms/hdbscan (4)
  • algo: hdbscan (4)
  • FIL (4)
  • conda (4)

Top Pull Request Labels

  • non-breaking (1,275)
  • Cython / Python (1,064)
  • improvement (855)
  • CUDA/C++ (415)
  • bug (385)
  • conda (294)
  • ci (264)
  • CMake (250)
  • breaking (76)
  • 3 - Ready for Review (69)
  • feature request (67)
  • cuml-accel (56)
  • cuml-cpu (48)
  • doc (40)
  • tests (38)
  • DO NOT MERGE (28)
  • 5 - DO NOT MERGE (23)
  • 2 - In Progress (23)
  • 5 - Ready to Merge (16)
  • Dask / cuml.dask (7)
  • CUDA / C++ (7)
  • Tech Debt (7)
  • Build or Dep (6)
  • inactive-30d (6)
  • 4 - Waiting on Reviewer (6)
  • inactive-90d (6)
  • gpuCI (4)
  • 0 - Blocked (3)
  • algo: umap (3)
  • 4 - Waiting on Author (3)

Package metadata

pypi.org: cuml-cu11

cuML - RAPIDS ML Algorithms

  • Homepage: https://github.com/rapidsai/cuml
  • Documentation: https://docs.rapids.ai/api/cuml/stable/
  • Licenses: Apache-2.0
  • Latest release: 25.6.0 (published 12 months ago)
  • Last Synced: 2026-05-27T22:01:18.684Z (3 days ago)
  • Versions: 20
  • Dependent Packages: 4
  • Dependent Repositories: 11
  • Downloads: 1,712 Last month
  • Docker Downloads: 144
  • Rankings:
    • Dependent packages count: 2.367%
    • Average: 3.985%
    • Docker downloads count: 4.316%
    • Dependent repos count: 4.373%
    • Downloads: 4.883%
  • Maintainers (3)
proxy.golang.org: github.com/rapidsai/cuml

  • Homepage:
  • Documentation: https://pkg.go.dev/github.com/rapidsai/cuml#section-documentation
  • Licenses: apache-2.0
  • Latest release: v0.19.0 (published about 5 years ago)
  • Last Synced: 2026-05-27T22:01:19.346Z (3 days ago)
  • Versions: 21
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Stargazers count: 1.132%
    • Forks count: 1.334%
    • Average: 5.483%
    • Dependent packages count: 8.899%
    • Dependent repos count: 10.567%
pypi.org: cuml-cu12

cuML - RAPIDS ML Algorithms

  • Homepage: https://github.com/rapidsai/cuml
  • Documentation: https://docs.rapids.ai/api/cuml/stable/
  • Licenses: apache-2.0
  • Latest release: 26.4.0 (published about 2 months ago)
  • Last Synced: 2026-05-27T22:01:18.593Z (3 days ago)
  • Versions: 20
  • Dependent Packages: 5
  • Dependent Repositories: 1
  • Downloads: 183,113 Last month
  • Rankings:
    • Dependent packages count: 3.173%
    • Downloads: 8.013%
    • Average: 10.907%
    • Dependent repos count: 21.535%
  • Maintainers (1)
spack.io: py-cuml

cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other RAPIDS projects.

  • Homepage: https://github.com/rapidsai/cuml
  • Licenses: []
  • Latest release: 0.15.0 (published about 4 years ago)
  • Last Synced: 2026-05-27T22:01:17.614Z (3 days ago)
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 0.0%
    • Stargazers count: 4.085%
    • Forks count: 4.293%
    • Average: 16.413%
    • Dependent packages count: 57.274%
  • Maintainers (1)
pypi.org: libcuml-cu13

cuML - RAPIDS ML Algorithms (C++)

  • Homepage: https://github.com/rapidsai/cuml
  • Documentation: https://libcuml-cu13.readthedocs.io/
  • Licenses: apache-2.0
  • Latest release: 26.4.0 (published about 2 months ago)
  • Last Synced: 2026-05-27T22:01:15.850Z (3 days ago)
  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 9,003 Last month
  • Rankings:
    • Dependent packages count: 9.332%
    • Average: 30.949%
    • Dependent repos count: 52.566%
  • Maintainers (1)
pypi.org: cuml-cu13

cuML - RAPIDS ML Algorithms

  • Homepage: https://github.com/rapidsai/cuml
  • Documentation: https://docs.rapids.ai/api/cuml/stable/
  • Licenses: apache-2.0
  • Latest release: 26.4.0 (published about 2 months ago)
  • Last Synced: 2026-05-27T22:01:19.213Z (3 days ago)
  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 4,456 Last month
  • Rankings:
    • Dependent packages count: 9.338%
    • Average: 30.969%
    • Dependent repos count: 52.6%
  • Maintainers (1)
pypi.org: libcuml-cu12

cuML - RAPIDS ML Algorithms (C++)

  • Homepage: https://github.com/rapidsai/cuml
  • Documentation: https://libcuml-cu12.readthedocs.io/
  • Licenses: apache-2.0
  • Latest release: 26.4.0 (published about 2 months ago)
  • Last Synced: 2026-05-27T22:01:32.032Z (3 days ago)
  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 123,846 Last month
  • Rankings:
    • Dependent packages count: 9.621%
    • Average: 31.898%
    • Dependent repos count: 54.175%
  • Maintainers (1)
pypi.org: libcuml-cu11

cuML - RAPIDS ML Algorithms (C++)

  • Homepage: https://github.com/rapidsai/cuml
  • Documentation: https://libcuml-cu11.readthedocs.io/
  • Licenses: Apache-2.0
  • Latest release: 25.6.0 (published 12 months ago)
  • Last Synced: 2026-05-27T22:01:29.044Z (3 days ago)
  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 517 Last month
  • Rankings:
    • Dependent packages count: 9.621%
    • Average: 31.898%
    • Dependent repos count: 54.175%
  • Maintainers (1)
pypi.org: bdtrinity

BDTrinity - An open source, low-code machine learning library in Python.

  • Homepage: https://matrix-neo.gitbook.io/bd-trinity
  • Documentation: https://bdtrinity.readthedocs.io/
  • Licenses: MIT
  • Latest release: 2.1.0 (published over 1 year ago)
  • Last Synced: 2026-05-27T22:01:19.211Z (3 days ago)
  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 568 Last month
  • Rankings:
    • Dependent packages count: 10.023%
    • Average: 33.216%
    • Dependent repos count: 56.409%
  • Maintainers (1)

Dependencies

.github/workflows/build.yaml actions
.github/workflows/labeler.yml actions
  • actions/labeler main composite
.github/workflows/new-issues-to-triage-projects.yml actions
  • docker://takanabe/github-actions-automate-projects v0.0.1 composite
.github/workflows/pr.yaml actions
.github/workflows/test.yaml actions
pyproject.toml pypi
.github/workflows/pr_issue_status_automation.yml actions
  • actions/checkout v4 composite
.devcontainer/Dockerfile docker
  • ${BASE} latest build
  • ${PYTHON_PACKAGE_MANAGER}-base latest build
.github/workflows/pr_assign_author.yml actions
.github/workflows/trigger-breaking-change-alert.yaml actions
python/cuml/pyproject.toml pypi
  • cuda-python >=13.0.1,<14.0
  • cuda-toolkit [cublas,cufft,curand,cusolver,cusparse]>=12,<14
  • cudf ==26.2.*,>=0.0.0a0
  • cupy-cuda13x >=13.6.0
  • joblib >=0.11
  • libcuml ==26.2.*,>=0.0.0a0
  • numba >=0.60.0,<0.62.0
  • numba-cuda [cu13]>=0.22.1,<0.23.0
  • numpy >=1.23,<3.0
  • packaging *
  • pylibraft ==26.2.*,>=0.0.0a0
  • rich *
  • rmm ==26.2.*,>=0.0.0a0
  • scikit-learn >=1.5
  • scipy >=1.13.0
  • treelite >=4.6.1,<5.0.0
python/libcuml/pyproject.toml pypi
  • cuda-toolkit [cublas,cufft,curand,cusolver,cusparse]>=12,<14
  • libraft ==26.2.*,>=0.0.0a0
  • rapids-logger ==0.2.*,>=0.0.0a0