DTAIDistance: Dynamic Time Warping for Time Series

DTAIDistance is a Python library providing highly optimized distance measures for time series, primarily focusing on Dynamic Time Warping (DTW). It features both a pure Python implementation and a significantly faster C implementation, making it suitable for performance-critical applications. The library also includes functionalities for time series clustering, multi-dimensional DTW, and subsequence search. It is actively maintained by the DTAI Research Group, with the current stable version being 2.4.0.