tslearn is a Python library providing machine learning algorithms specifically designed for time series data. It implements common time series operations such as classification, clustering, and similarity measurement using dynamic time warping (DTW). The toolkit offers compatible interfaces with scikit-learn for estimators and transformers, enabling standard ML workflows on time- series datasets.