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.

Python

MATLAB

R

Julia

C-compiled executable

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.

Summary Table

Detailed Descriptions

Publications using Catch22

An ever-growing list of publications that use catch22.

List of Publications

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