oscarescuderoarnanz/dtwParallel
Dynamic Time Warping
This tool helps you compare and align two time-dependent data sequences, even if they have different lengths or contain various types of measurements (like numbers and categories). It takes in your time series data and tells you how similar they are by finding the best way to match up their points over time. Researchers and analysts who work with time-series data, such as financial trends, sensor readings, or biological signals, would find this useful.
No commits in the last 6 months. Available on PyPI.
Use this if you need to precisely measure the similarity between two time series that might be of different lengths or have irregular patterns, and you want to account for stretching or compressing of time.
Not ideal if you only need a simple, point-by-point comparison between two time series that are already perfectly aligned and of the same length.
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47
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12
Language
Jupyter Notebook
License
BSD-2-Clause
Category
Last pushed
Feb 28, 2025
Commits (30d)
0
Dependencies
9
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