description	CAnonical Time-series CHaracteristics
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Welcome to catch22

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		python_light.png	python.md
	MATLAB		MATLAB_light.png	matlab.md
	R		R_light (1).png	r.md
	Julia		julia_light.png	julia.md
	C-compiled executable		C_light (1).png	c-compiled.md

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		table_of_spis_light.png	feature-overview-table.md
	Detailed Descriptions		got_light.png	feature-descriptions

Publications using Catch22

An ever-growing list of publications that use catch22.

	List of Publications		spi_descriptions_light.png	publications-using-catch22.md

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