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Highly Comparative Time-Series Analysis hctsa


A software package for running highly comparative time-series analysis. hctsa automates the selection of quantitative phenotypes from time-series data by leveraging a large and interdisciplinary literature on time-series analysis. hctsa allows thousands of time-series analysis features to be extracted from time series (or a time-series dataset), as well as tools for normalizing and clustering the data, producing low-dimensional representations of the data, identifying discriminating features between different classes of time series, learning multivariate classification models using large sets of time-series features, finding nearest matches to a time series of interest, and a range of other visualization and analysis functionality.

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hctsa classification

hctsa specifications

Software type:
Restrictions to use:
Programming languages:
Computer skills:
Statistics toolbox, Signal Processing Toolbox, Curve Fitting Toolbox, System Identification Toolbox, Wavelet Toolbox, Econometrics Toolbox
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
GNU General Public License version 3.0

hctsa distribution


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hctsa support



  • Ben D. Fulcher <>


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Monash Institute of Cognitive and Clinical Neurosciences (MICCN), Monash University, Victoria, Australia; Department of Mathematics, Imperial College London, London, UK

Link to literature

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