classifier-toolkit 0.2.6 package intelligence

classifier-toolkit dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

1. catboost <2.0.0,>=1.2.2
2. category-encoders <3.0.0,>=2.6.3
3. colorama <0.5.0,>=0.4.6
4. lightgbm <5.0.0,>=4.5.0
5. matplotlib <4.0.0,>=3.9.2
6. nbformat >=5.10.4
7. numpy <3.0,>=2.0
8. optuna <4.0.0,>=3.5.0
9. pandas <3.0.0,>=2.2.0
10. polars <2.0.0,>=1.2.1
11. pyarrow >=18.0.0
12. scikit-learn <2.0.0,>=1.4.0
13. scipy >=1.11.0
14. shap >=0.46.0
15. statsmodels <0.15.0,>=0.14.2
16. tabulate <0.10.0,>=0.9.0
17. tqdm <5.0.0,>=4.66.0
18. xgboost <3.0.0,>=2.1.1

The compact report shows 18 of 20 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

classifier-toolkit publishes 1 wheel and 1 source archive for version 0.2.6. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for classifier-toolkit 0.2.6

An OSV query completed on 2026-07-21 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: meaningful summary, license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 9 releases with files. The first dated release is 2024-09-13; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on 2026-07-20. The preceding dated release was 2026-07-20.

4 historical releases are fully yanked in PyPI metadata.

• Documentation