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pypi.org : dtw-python
A comprehensive implementation of dynamic time warping (DTW) algorithms. DTW computes the optimal (least cumulative distance) alignment between points of two time series. Common DTW variants covered include local (slope) and global (window) constraints, subsequence matches, arbitrary distance definitions, normalizations, minimum variance matching, and so on. Provides cumulative distances, alignments, specialized plot styles, etc.
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purl: pkg:pypi/dtw-python
Keywords: dtw, timeseries, clustering, dynamic, time, warping
License: GPL-2.0
Latest release: 2 months ago
First release: over 4 years ago
Dependent packages: 21
Dependent repositories: 55
Downloads: 86,647 last month
Stars: 248 on GitHub
Forks: 31 on GitHub
Docker dependents: 7
Docker downloads: 387
Total Commits: 288
Committers: 6
Average commits per author: 48.0
Development Distribution Score (DDS): 0.111
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Last synced: about 11 hours ago