Factual package intelligence from PyPI

cuml-cu13 26.6.0 package intelligence

cuML - RAPIDS ML Algorithms

pip install cuml-cu13

Current version
26.6.0
Python requirement
>=3.11
License
Not declared
Distribution type
Includes compiled wheel
Release files
2 (2 wheels, 0 source)
Download size
10.2 MiB
Release history
6 releases with files
Median release cadence
63 days

cuml-cu13 dependencies

PyPI declares 45 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. cuda-python <14.0,>=13.0.1
  2. cuda-toolkit ==13.*
  3. cudf-cu13 ==26.6.*
  4. cupy-cuda13x !=14.0.0,!=14.1.0,>=13.6.0
  5. joblib >=0.11
  6. libcuml-cu13 ==26.6.*
  7. numba-cuda <0.29.0,>=0.22.2
  8. numba <0.65.0,>=0.60.0
  9. numpy <3.0,>=1.26
  10. nvforest-cu13 ==26.6.*
  11. nvidia-nvjitlink <14,>=13.0
  12. packaging

The compact report shows 12 of 45 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

cuml-cu13 publishes 2 wheels and 0 source archives for version 26.6.0. Wheel platform tags: manylinux_2_24_aarch64.manylinux_2_28_aarch64, manylinux_2_24_x86_64.manylinux_2_28_x86_64.

Declared Python classifiers: 3.11, 3.12.

Security snapshot for cuml-cu13 26.6.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Metadata completeness

PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .