Factual package intelligence from PyPI
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
pip install tubular
PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<3.0.0,>=1.5.0>=1.2.0>=2.16.0<=1.38.1,>=1.21.0>=0.19.0>=4.5.0The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.
tubular publishes 1 wheel and 1 source archive for version 3.9.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
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 53 releases with files. The first dated release is ; 28 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .