Projects: pypi: dtw-python
https://packages.ecosyste.ms/registries/pypi.org/packages/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.
25 versions
Latest release: almost 4 years ago
17 dependent packages
58,237 downloads last month
Science Score: 90/100
Starting Score: 100 points
Bonuses:
Penalties:
-
-10
PyPI ecosystem
General-purpose ecosystem
Very Likely Science (90)
Papers Mentioning dtw-python 2
10.3390/e23091191
A General Metric for the Similarity of Both Stochastic and Deterministic System DynamicsCited by: 4
Author(s): Colin Shea-Blymyer, Subhradeep Roy, Benjamin C. Jantzen
Software Mentions: 1
Published: almost 5 years ago
10.1016/j.pmedr.2021.101510
Self-rated health trajectories: A dynamic time warp analysisCited by: 2
Author(s): Brian M. Doornenbal, Renz Bakx
Software Mentions: 1
Published: over 4 years ago