Our objective is to enhance the interoperability and usability of the time series analysis ecosystem in its entirety. sktime provides a unified interface for distinct but related time series learning tasks . It features dedicated time series algorithms and tools for composite model building , such as pipelining, ensembling, tuning, and reduction, empowering users to apply algorithms designed for one task to another.

sktime also provides interfaces to related libraries , for example [scikit-learn], [statsmodels], [tsfresh], [PyOD], and [fbprophet], among others.