Factual package intelligence from PyPI

timeseriesqualitycheck 0.0.3 package intelligence

timeseriesqualitycheckis a Python package designed to assess the quality of time-series data. It provides a straightforward way to evaluate the integrity and cleanliness of time-series datasets by analyzing their Time Pattern Cohesion Score (TPCS) and Signal-to-Noise Ratio (SNR)

pip install timeseriesqualitycheck

Current version
0.0.3
Python requirement
>=3.6
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
10.4 KiB
Release history
3 releases with files
Median release cadence
0 days

timeseriesqualitycheck dependencies

PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.15.0
  2. pandas >=1.15.0
  3. sequentiality
  4. tpcs
  5. scipy

Compatibility and release files

timeseriesqualitycheck publishes 1 wheel and 1 source archive for version 0.0.3. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Release activity and sources

PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .