Welcome to catch22
CAnonical Time-series CHaracteristics
Want to do feature-based time-series analysis, fast, and in a coding language of your choice? The catch22 feature set provides open access to a powerful reduced set of time-series analysis features that compute quickly.
A generally applicable subset of 22 features from the hctsa time-series feature library that provide an effective general summary of time-series statistical properties.
Available as native Python, Julia, MATLAB, and R packages (that call C-compiled executables).
Language-Specific Documentation
Choose your coding language below (or from the sidebar). Each pages cover all aspects of usage in a particular language including installation guides, tutorials and frequently asked questions.
Feature Descriptions
Want to know what each time-series feature in the catch22 set computes? Access a high level summary of catch22 features with the feature table or delve into the specifics with detailed descriptions and tutorials on each feature.
Publications using Catch22
An ever-growing list of publications that use catch22.
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