The methods developed in the research theme on causality are continuously added to the Tigramite package. Tigramite is a causal time series analysis python package. It allows to efficiently reconstruct causal graphs from high-dimensional time series datasets and model the obtained causal dependencies for causal mediation and prediction analyses. Causal discovery is based on linear as well as non-parametric conditional independence tests applicable to discrete or continuously-valued time series. Tigramite also includes functions for high-quality plots of the results.
The package is hosted on Github: https://github.com/jakobrunge/tigramite