Factual package intelligence from PyPI

XeroML 0.0.3 package intelligence

A data management platform

pip install xeroml

Current version
0.0.3
Python requirement
>=3.9
License
Apache-2.0
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
240.4 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

XeroML dependencies

PyPI declares 24 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas ==2.2.2
  2. numpy ==1.26.4
  3. scipy ==1.13.0
  4. matplotlib ==3.8.2
  5. statsmodels ==0.14.0
  6. scikit-learn ==1.4.2
  7. xgboost ==1.7.6
  8. seaborn ==0.13.1
  9. torch ==2.1.2
  10. nimfa ==1.4.0
  11. optuna ==3.3.0
  12. ipywidgets ==8.0.4
  13. joblib ==1.2.0
  14. tqdm ==4.65.0
  15. catboost ==1.2.5
  16. imbalanced-learn ==0.12.2
  17. IPython ==8.20.0
  18. kaleido ==0.2.1

The compact report shows 18 of 24 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

XeroML publishes 1 wheel and 1 source archive for version 0.0.3. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.9.

Security snapshot for XeroML 0.0.3

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.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .