Welcome to the pyhctsa documentation.¶

The PYthon toolkit for Highly Comparative Time-Series Analysis (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 our JOSS paper:

Moore et al., (2026). pyhctsa: A Python package for highly comparative time-series analysis. Journal of Open Source Software, 11(123), 10581, https://doi.org/10.21105/joss.10581

Or in BibTeX (version-agnostic):

@article{Moore2026,
   doi = {10.21105/joss.10581},
   url = {https://doi.org/10.21105/joss.10581},
   year = {2026},
   publisher = {The Open Journal},
   volume = {11},
   number = {123},
   pages = {10581},
   author = {Moore, Joshua B. and Fulcher, Ben D.},
   title = {pyhctsa: A Python package for highly comparative time-series analysis},
   journal = {Journal of Open Source Software}}

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.