{"library":"dtaidistance","type":"library","category":null,"description":"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.","language":"python","status":"active","version":"2.4.0","tags":["time series","DTW","dynamic time warping","distance","clustering","signal processing","fast","C-extension","similarity"],"last_verified":"Mon May 25","install":[{"cmd":"pip install dtaidistance","imports":["from dtaidistance import dtw","from dtaidistance import dtw_visualisation as dtwvis","from dtaidistance import dtw_ndim"]},{"cmd":"conda install -c conda-forge dtaidistance","imports":[]}],"homepage":"https://dtaidistance.readthedocs.io/","github":"https://github.com/wannesm/dtaidistance","docs":"https://http://dtaidistance.readthedocs.io","changelog":null,"pypi":"https://pypi.org/project/dtaidistance/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":7.8,"avg_import_s":0.32,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/dtaidistance/compatibility"}}