Factual package intelligence from PyPI
Scikit-longitudinal is an open-source Python library for longitudinal data analysis, building on Scikit-learn's foundation with tools tailored for repeated measures data.
pip install scikit-longitudinal
PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<2.0.0,>=1.11.0<3.0.0,>=2.2.0<4.0.0,>=3.8.0<2.0.0,>=1.0.0<8.0.0,>=7.3.1<1.0.0,>=0.14.0<2.0.0,>=1.26.4<1.0.0,>=0.20.1>=2.2.2<4.0.0,>=3.1.0>=1.1.2>=13.6.0The compact report shows 12 of 17 declarations. The interactive dependency graph loads the complete metadata.
Scikit-longitudinal publishes 1 wheel and 1 source archive for version 0.1.10. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13.
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.
PyPI lists 19 releases with files. The first dated release is ; 14 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .