Factual package intelligence from PyPI

periodicity-detection 0.2.0 package intelligence

Detect the dominant period in univariate, equidistant time series data.

pip install periodicity-detection

Current version
0.2.0
Python requirement
>=3.10
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
40.0 KiB
Release history
7 releases with files
Median release cadence
129 days

periodicity-detection dependencies

PyPI declares 17 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.21.6
  2. pandas >=1.5.3
  3. scipy >=1.7.3
  4. statsmodels >=0.13.5
  5. spectrum >=0.8
  6. typing_extensions >=4.7.1
  7. matplotlib >=3.5.3

The compact report shows 12 of 17 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

periodicity-detection publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14.

Release activity and sources

PyPI lists 7 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 .