Factual package intelligence from PyPI

riskbands 2.4.0 package intelligence

Interpretable binning with temporal stability diagnostics for credit risk, PD, and scorecard workflows.

pip install riskbands

Current version
2.4.0
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
265.6 KiB
Release history
9 releases with files
Median release cadence
2 days

riskbands dependencies

PyPI declares 25 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas >=2.0
  2. numpy >=1.24
  3. scikit-learn >=1.4
  4. scipy >=1.11
  5. optbinning <0.22,>=0.21.0
  6. ortools <9.11,>=9.10.4067
  7. protobuf <6,>=5.29.6
  8. optuna >=3.5.0
  9. category_encoders >=2.6
  10. matplotlib >=3.8
  11. seaborn >=0.13
  12. tqdm >=4.66

The compact report shows 18 of 25 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

riskbands publishes 1 wheel and 1 source archive for version 2.4.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Release activity and sources

PyPI lists 9 releases with files. The first dated release is ; 9 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .