Factual package intelligence from PyPI

clinikit 0.1.1 package intelligence

A lightweight, sklearn-compatible Python toolkit for tabular machine learning.

pip install clinikit

Current version
0.1.1
Python requirement
<3.14,>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
386.4 KiB
Release history
2 releases with files
Median release cadence
0 days

clinikit dependencies

PyPI declares 61 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. catboost >=1.2
  2. imbalanced-learn >=0.12
  3. jinja2 >=3.1
  4. joblib >=1.4
  5. lightgbm >=4.0
  6. matplotlib >=3.8
  7. numpy >=1.26
  8. pandas >=2.2
  9. pyyaml >=6.0
  10. scikit-learn >=1.4
  11. scipy >=1.11
  12. typer >=0.9
  13. xgboost >=2.0

The compact report shows 25 of 61 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

clinikit publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.

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 .