{"library":"fastdtw","type":"library","category":null,"description":"FastDTW is a Python implementation of the FastDTW algorithm, which provides optimal or near-optimal alignments with an O(N) time and memory complexity for Dynamic Time Warping (DTW) of time series. The current version is 0.3.4, with its last release in October 2019, suggesting a maintenance rather than active development phase.","language":"en","status":"maintenance","version":"0.3.4","tags":["time series","DTW","dynamic time warping","similarity","approximation","signal processing","distance metric"],"last_verified":"Wed May 27","install":[{"cmd":"pip install fastdtw","imports":["from fastdtw import fastdtw"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":null,"npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":4.5,"avg_import_s":0.25,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/fastdtw/compatibility"}}