Factual package intelligence from PyPI
Useful tools for periodicity analysis in time series data.
pip install periodicity
PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<0.3.3,>=0.2.0>=3.0<2<1.5,>=1.2>=0.5>=1.1<2022,>=0.20The compact report shows 18 of 21 declarations. The interactive dependency graph loads the complete metadata.
periodicity publishes 0 wheels and 1 source archive for version 1.0b7. Wheel platform tags: No wheel platform tags.
No version-specific Python classifiers are declared.
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 10 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
1 historical release is fully yanked in PyPI metadata.