Factual package intelligence from PyPI

rayml 0.2.21 package intelligence

A high-performance Python ML package.

pip install rayml

Current version
0.2.21
Python requirement
<3.14,>=3.12
License
GPL-3.0-or-later
Distribution type
Includes compiled wheel
Release files
8 (8 wheels, 0 source)
Download size
2.5 MiB
Release history
2 releases with files
Median release cadence
1 days

rayml dependencies

PyPI declares 14 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas <2.4.0,>=2.2.0
  2. numpy <2.4.0,>=2.1.2
  3. scikit-learn ~=1.6.1
  4. gunicorn >=20.0.0
  5. xgboost ~=3.0.1
  6. scipy ~=1.15.2
  7. optuna <5.0.0,>=4.5.0
  8. dill <1.0.0,>=0.4.0
  9. lz4 <5.0.0,>=4.4.4
  10. matplotlib <4.0.0,>=3.10.0
  11. seaborn <1.0.0,>=0.13.0
  12. cryptography >=45.0
  13. zstandard <1.0.0,>=0.23.0
  14. tqdm <5.0.0,>=4.67.1

Compatibility and release files

rayml publishes 8 wheels and 0 source archives for version 0.2.21. Wheel platform tags: macosx_11_0_arm64, manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64, manylinux2014_x86_64.manylinux_2_17_x86_64, win_amd64.

No version-specific Python classifiers are declared.

Metadata completeness

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

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.