Factual package intelligence from PyPI
Embedding-based train/test splitting beyond random splits: adversarial, overlap, and distribution-balanced splits for robust model evaluation.
pip install splytters
PyPI declares 29 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.23>=1.9>=1.1The compact report shows 12 of 29 declarations. The interactive dependency graph loads the complete metadata.
splytters publishes 1 wheel and 1 source archive for version 0.2.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14.
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 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .