• ✨ Follows scikit-learn API conventions for easy integration with existing machine learning workflows.
• ✨ Supports variable-length time series without requiring padding.
• ✨ Compatible with multiple computational backends including NumPy and Torch.
• ✨ Includes specialized time series metrics such as Dynamic Time Warping.