DTW for Python

dtw-python is a comprehensive Python library that provides a faithful, functionally equivalent implementation of Dynamic Time Warping (DTW) algorithms, mirroring the capabilities of the popular R 'dtw' package. It enables optimal alignment between two time series, even if they have different lengths or time axes, and supports various local (slope) and global (window) constraints. The library is currently at version 1.7.4 and maintains an active, though irregular, release cadence, with several updates per year. It is widely used for classification and clustering tasks across domains like bioinformatics, econometrics, and general time series analysis.