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
- Host: GitHub
- URL: https://github.com/rapidsai/cuml
- Owner: rapidsai
- License: apache-2.0
- Created: 2018-10-11T15:45:35.000Z (over 7 years ago)
- Default Branch: main
- Last Pushed: 2026-05-26T18:04:15.000Z (4 days ago)
- Last Synced: 2026-05-26T19:07:25.805Z (4 days ago)
- Topics: cuda, gpu, machine-learning, machine-learning-algorithms, nvidia
- Language: Python
- Homepage: https://docs.rapids.ai/api/cuml/stable/
- Size: 73 MB
- Stars: 5,202
- Watchers: 72
- Forks: 624
- Open Issues: 862
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Codeowners: .github/CODEOWNERS
Owner metadata:
- Name: RAPIDS
- Login: rapidsai
- Email:
- Kind: organization
- Description: Open GPU Data Science
- Website: https://rapids.ai
- Location:
- Twitter: RAPIDSai
- Company:
- Icon url: https://avatars.githubusercontent.com/u/43887749?v=4
- Repositories: 122
- Last Synced at: 2024-04-15T04:58:14.907Z
- Profile URL: https://github.com/rapidsai
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 | 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
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
- Total packages: 9
-
Total downloads:
- pypi: 323,215 last-month
- Total docker downloads: 144
- Total dependent packages: 9 (may contain duplicates)
- Total dependent repositories: 12 (may contain duplicates)
- Total versions: 89
- Total maintainers: 5
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
- actions/labeler main composite
- docker://takanabe/github-actions-automate-projects v0.0.1 composite
- actions/checkout v4 composite
- ${BASE} latest build
- ${PYTHON_PACKAGE_MANAGER}-base latest build
- 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
- cuda-toolkit [cublas,cufft,curand,cusolver,cusparse]>=12,<14
- libraft ==26.2.*,>=0.0.0a0
- rapids-logger ==0.2.*,>=0.0.0a0