Factual package intelligence from PyPI

PriceAnomalyTracker 1.1.3 package intelligence

PriceAnomalyTracker is a Python library for detecting anomalies in time series data. Using unsupervised learning methods, it applies clustering techniques (such as K-Means and DBSCAN) and normality tests (such as the Shapiro Test) to identify anomalies in a wide range of data.

pip install priceanomalytracker

Current version
1.1.3
Python requirement
Not declared
License
MIT License
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
10.0 KiB
Release history
5 releases with files
Median release cadence
0 days

PriceAnomalyTracker dependencies

PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy
  2. scikit-learn
  3. scipy

Compatibility and release files

PriceAnomalyTracker publishes 1 wheel and 1 source archive for version 1.1.3. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .