Github

Our group’s Github page is here. You can find software packages for the tools we develop, and investigate code for reproducing results in our published papers.

CompEngine

We have developed an interactive website, CompEngine, that allows you to upload and explore connections between your time-series data and a library of thousands of diverse empirical and synthetic time series.

Have a play!

Open software

We have also developed a range of software packages related to time-series analysis (with more on the way!):

• hctsa (Matlab), allows you to apply thousands of time-series analysis methods to a time-series dataset in Matlab.
• catch22 (C, Matlab, python, R, Julia) allows you to evaluate 22 time-series features, coded efficiently in C and wrapped for python and with native versions for R and Julia.
• pyspi (python) is a comprehensive library for computing pairwise interactions from multivariate time series.
• theft (R) implements the extraction, analysis, and visualisation of a range of open time-series features.

Advice

We keep an active website containing general research advice across a range of topics here.