DTAIDistance

Time series distances (DTW, ED), clustering and subsequence search

Description:

Library for time series distances (e.g. Dynamic Time Warping). The library offers a pure Python implementation and a fast implementation in C. The C implementation has only Cython as a dependency. It is compatible with Numpy and Pandas and implemented to avoid unnecessary data copy operations.

More Information:

Originates from the AI-Driven Data Science research challenge (FAIR 2019–2023).
Responsible Research Lead: Jesse Davis, Hendrik Blockeel, Luc De Raedt
Authors: Wannes Meert, Aras Yurtman, Kilian Hendrickx, Pieter Robberechts
Programming Language: Python and C
Link to the repository
Categories: Time series, anomaly detection, un/semi-supervised learning