dtw-python

View on PyPIReverse Dependencies (15)

1.4.2 dtw_python-1.4.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
dtw_python-1.4.2-cp39-cp39-win_amd64.whl
dtw_python-1.4.2-cp39-cp39-macosx_10_9_x86_64.whl
dtw_python-1.4.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
dtw_python-1.4.2-cp38-cp38-win_amd64.whl
dtw_python-1.4.2-cp38-cp38-macosx_10_9_x86_64.whl
dtw_python-1.4.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
dtw_python-1.4.2-cp37-cp37m-win_amd64.whl
dtw_python-1.4.2-cp37-cp37m-macosx_10_9_x86_64.whl
dtw_python-1.4.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
dtw_python-1.4.2-cp36-cp36m-win_amd64.whl
dtw_python-1.4.2-cp36-cp36m-macosx_10_9_x86_64.whl
dtw_python-1.4.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
dtw_python-1.4.2-cp312-cp312-win_amd64.whl
dtw_python-1.4.2-cp312-cp312-macosx_10_9_x86_64.whl
dtw_python-1.4.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
dtw_python-1.4.2-cp311-cp311-win_amd64.whl
dtw_python-1.4.2-cp311-cp311-macosx_10_9_x86_64.whl
dtw_python-1.4.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
dtw_python-1.4.2-cp310-cp310-win_amd64.whl
dtw_python-1.4.2-cp310-cp310-macosx_10_9_x86_64.whl

Wheel Details

Project: dtw-python
Version: 1.4.2
Filename: dtw_python-1.4.2-cp38-cp38-macosx_10_9_x86_64.whl
Download: [link]
Size: 364146
MD5: 66d78271ebbac1fc1a86ef95b12cf08c
SHA256: 4f3dca863cd3ae57ea6a04b2383512c050ace850e828f29dce561e9673517345
Uploaded: 2024-03-19 07:46:42 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: dtw-python
Version: 1.4.2
Summary: 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.
Author: Toni Giorgino
Author-Email: toni.giorgino[at]gmail.com
Home-Page: https://DynamicTimeWarping.github.io
License: GNU General Public License v3
Keywords: dtw,timeseries
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: GNU General Public License v2 or later (GPLv2+)
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.6
Requires-Dist: numpy (>=1.19)
Requires-Dist: scipy (>=1.1)
Description-Content-Type: text/x-rst
License-File: COPYING
License-File: AUTHORS.rst
[Description omitted; length: 6202 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: false
Tag: cp38-cp38-macosx_10_9_x86_64

RECORD

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top_level.txt

dtw

entry_points.txt

dtw = dtw.__main__:main