Factual package intelligence from PyPI
Sparse linear regression models
pip install sparse-lm
PyPI declares 26 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.23>=1.2>=1.2.1>=1.9The compact report shows 18 of 26 declarations. The interactive dependency graph loads the complete metadata.
sparse-lm publishes 0 wheels and 1 source archive for version 0.5.2. Wheel platform tags: No wheel platform tags.
Declared Python classifiers: 3.10, 3.9.
PyPI does not currently declare: Python requirement, project URL. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 9 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
The project does not publish external project URLs in its PyPI metadata.