A comprehensive implementation of dynamic time warping (DTW) algorithms in Python. 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.
| Name | Type | Version | Platform | Labels | Updated | Size | Downloads | Actions |
|---|
linux-aarch64/dtw-python-1.7.4-py313h3f3e313_1.conda | conda | 1.7.4 | linux-aarch64 | main | Feb 4, 2026, 09:22 AM | 332.61 KB | 50 | |
linux-aarch64/dtw-python-1.7.4-py314h66bbcb4_1.conda | conda | 1.7.4 | linux-aarch64 | main | Feb 4, 2026, 09:21 AM | 337.33 KB | 50 | |
linux-aarch64/dtw-python-1.7.4-py312hd4ef8b2_1.conda | conda | 1.7.4 | linux-aarch64 | main | Feb 4, 2026, 09:20 AM | 332.92 KB | 49 | |
linux-aarch64/dtw-python-1.7.4-py310h810c811_1.conda | conda | 1.7.4 | linux-aarch64 | main | Feb 4, 2026, 09:20 AM | 323.01 KB | 46 | |
linux-aarch64/dtw-python-1.7.4-py314ha3940a1_1.conda | conda | 1.7.4 | linux-aarch64 | main | Feb 4, 2026, 09:20 AM | 334.5 KB | 47 | |
linux-aarch64/dtw-python-1.7.4-py311h87ac78a_1.conda | conda | 1.7.4 | linux-aarch64 | main | Feb 4, 2026, 09:19 AM | 333.32 KB | 45 | |
osx-arm64/dtw-python-1.7.4-py312hf57c059_1.conda | conda | 1.7.4 | macOS-arm64 | main | Feb 4, 2026, 09:07 AM | 321.97 KB | 53 | |
osx-arm64/dtw-python-1.7.4-py313hf5115c3_1.conda | conda | 1.7.4 | macOS-arm64 | main | Feb 4, 2026, 09:06 AM | 321.79 KB | 49 | |
osx-64/dtw-python-1.7.4-py313hceb611b_1.conda | conda | 1.7.4 | macOS-64 | main | Feb 4, 2026, 09:06 AM | 323.45 KB | 40 | |
osx-arm64/dtw-python-1.7.4-py314h2115a04_1.conda | conda | 1.7.4 | macOS-arm64 | main | Feb 4, 2026, 09:03 AM | 326.06 KB | 51 | |
osx-arm64/dtw-python-1.7.4-py314h5749d07_1.conda | conda | 1.7.4 | macOS-arm64 | main | Feb 4, 2026, 09:01 AM | 328.59 KB | 40 | |
osx-64/dtw-python-1.7.4-py314h26e5826_1.conda | conda | 1.7.4 | macOS-64 | main | Feb 4, 2026, 09:00 AM | 327.83 KB | 39 | |
osx-64/dtw-python-1.7.4-py314h3d59089_1.conda | conda | 1.7.4 | macOS-64 | main | Feb 4, 2026, 09:00 AM | 331.95 KB | 44 | |
osx-64/dtw-python-1.7.4-py310hf8253f3_1.conda | conda | 1.7.4 | macOS-64 | main | Feb 4, 2026, 08:59 AM | 315.21 KB | 44 | |
osx-arm64/dtw-python-1.7.4-py310h1d5274f_1.conda | conda | 1.7.4 | macOS-arm64 | main | Feb 4, 2026, 08:58 AM | 312.47 KB | 45 | |
osx-64/dtw-python-1.7.4-py311hff505d5_1.conda | conda | 1.7.4 | macOS-64 | main | Feb 4, 2026, 08:58 AM | 325.87 KB | 44 | |
osx-64/dtw-python-1.7.4-py312h8ab2c85_1.conda | conda | 1.7.4 | macOS-64 | main | Feb 4, 2026, 08:58 AM | 323 KB | 45 | |
osx-arm64/dtw-python-1.7.4-py311h48bb571_1.conda | conda | 1.7.4 | macOS-arm64 | main | Feb 4, 2026, 08:58 AM | 322.34 KB | 50 | |
linux-64/dtw-python-1.7.4-py314hc02f841_1.conda | conda | 1.7.4 | linux-64 | main | Feb 4, 2026, 08:56 AM | 336.94 KB | 230 | |
win-64/dtw-python-1.7.4-py310h8f3aa81_1.conda | conda | 1.7.4 | win-64 | main | Feb 4, 2026, 08:55 AM | 335.83 KB | 66 | |
win-64/dtw-python-1.7.4-py314h38e64bc_1.conda | conda | 1.7.4 | win-64 | main | Feb 4, 2026, 08:55 AM | 357.53 KB | 49 | |
win-64/dtw-python-1.7.4-py314h2dcd201_1.conda | conda | 1.7.4 | win-64 | main | Feb 4, 2026, 08:55 AM | 349.31 KB | 74 | |
win-64/dtw-python-1.7.4-py312h196c9fc_1.conda | conda | 1.7.4 | win-64 | main | Feb 4, 2026, 08:55 AM | 347.04 KB | 79 | |
win-64/dtw-python-1.7.4-py313h0591002_1.conda | conda | 1.7.4 | win-64 | main | Feb 4, 2026, 08:55 AM | 347.98 KB | 73 | |
win-64/dtw-python-1.7.4-py311h17033d2_1.conda | conda | 1.7.4 | win-64 | main | Feb 4, 2026, 08:55 AM | 349.01 KB | 86 |