In the Crest catalog
NVIDIA/cuml
NVIDIA cuML: GPU-Accelerated Machine Learning
- Stars
- 5.3K
- Forks
- 683
- Language
- Python
- Last push
- 22d ago
- Last release
- 3mo ago
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
Package · PyPI
cuml-cu12
PyPI · v26.10.0 · Apache-2.0
NVIDIA cuML: GPU-Accelerated Machine Learning
Install
pip install cuml-cu12Adoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.70
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 6.9
- 23 versions over its life
Growth by period
PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
- 7 days
- Not published by PyPI
- Not published
- 30 days
- Not published by PyPI
- Not published
- 90 days
- Not published by PyPI
- Not published
- 1 year
- Not published by PyPI
- Not published
Adoption history
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
Facts from the registry
- Latest version
- v26.10.0
- 23 versions
- First published
- JUN 13, 2023
- Last release
- OCT 8, 2026
- 16d ago
- Licence
- Apache-2.0
Repository
Dependencies latest version · v26.10.0
Runtime 18
- cuda-bindings
<13.0,>=12.9.2 - cuda-toolkit
==12.* - cudf-cu12
==26.10.* - cupy-cuda12x
!=14.1.0,>=14.0.1 - joblib
>=0.11 - libcuml-cu12
==26.10.* - numba
<0.65.0,>=0.60.0 - numba-cuda
>=0.22.2 - numpy
<3.0,>=2.0 - nvforest-cu12
==26.10.* - nvidia-nvjitlink-cu12
<13,>=12.9 - packagingAny version
- pylibraft-cu12
==26.10.* - richAny version
- rmm-cu12
==26.10.* - scikit-learn
>=1.6 - scipy
>=1.14.0 - treelite
<5.0.0,>=4.7.2
Related packages
- libcuml-cu12cuML - RAPIDS ML Algorithms (C++)Published from the same repository
- matrx-aiUnified multi-provider AI client, orchestration, and tool systemSame primary category
- autogluon-multimodalFast and Accurate ML in 3 Lines of CodeSame primary category
- autogluon-tabularFast and Accurate ML in 3 Lines of CodeSame primary category
- autogluon-featuresFast and Accurate ML in 3 Lines of CodeSame primary category
- autogluon-coreFast and Accurate ML in 3 Lines of CodeSame primary category
- autogluon-commonFast and Accurate ML in 3 Lines of CodeSame primary category
Related news
No published news event mentions this package or its repository yet.