Welcome to the pyhctsa documentation.¶

The PYthon toolkit for Highly Comparative Time-Series Analsyis (pyhctsa) is a living library of time-series analysis methods. With over 4500 time-series features derived from interpretable theory, pyhctsa is the most comprehensive feature set in native Python.

Installation¶

Before installing pyhctsa, we strongly recommend setting up a virtual environment to prevent dependency clashes:

Navigation¶

Select from the cards below to navigate the pyhctsa documentation:

Citation¶

If you use pyhctsa in your work or publications, please cite:

Moore, J. B., & Fulcher, B. D. (2026). pyhctsa: Python Toolkit of Highly Comparative Time Series Analysis Features [Software]. Zenodo. https://doi.org/10.5281/zenodo.18652238

Or in BibTeX (version-agnostic):

@software{pyhctsa:2026,
  author       = {Moore, Joshua B. and Fulcher, Ben D.},
  title        = {pyhctsa: Python Toolkit of Highly Comparative Time Series Analysis Features},
  year         = {2026},
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.18529934},
  url          = {https://doi.org/10.5281/zenodo.18529934}
}

News and updates¶

Joshua Moore

Apr 18, 2026

8 min read

© 2026 Joshua Moore and Ben Fulcher. You may use, modify, and distribute this software with appropriate attribution.