dtw 1.4.0

The dtw Python package is a powerful tool for handling time-series data. It offers a complete implementation of Dynamic Time Warping (DTW) algorithms, which are used to optimally map one time-series (query) onto another (reference) by applying local stretch or compression to the time axes. This package is a Python equivalent of the R's DTW package and doesn't depend on any other Python packages. It's a great tool for any Python developer working with time-series data.

Stars: 1156, Watchers: 1156, Forks: 233, Open Issues: 16

The pollen-robotics/dtw repo was created 10 years ago and the last code push was 6 months ago.
The project is very popular with an impressive 1156 github stars!

How to Install dtw

You can install dtw using pip

pip install dtw

or add it to a project with poetry

poetry add dtw

Package Details

Author

Pierre Rouanet

License

GNU GENERAL PUBLIC LICENSE Version 3

Homepage

https://github.com/pierre-rouanet/dtw

PyPi:

https://pypi.org/project/dtw/

GitHub Repo:

https://github.com/pierre-rouanet/dtw

Classifiers

• Scientific/Engineering

Related Packages

Errors

A list of common dtw errors.

Code Examples

Here are some dtw code examples and snippets.

GitHub Issues

The dtw package has 16 open issues on GitHub

• Getting unexpected keyword argument "dist" error.
• Could you kindly suggest how to adapt my own distance matrix for dtw function?

See more issues on GitHub