STUMPY is a powerful and scalable library that efficiently computes something called the matrix profile, which can be used for a variety of time series data mining tasks such as:
pattern/motif (approximately repeated subsequences within a longer time series) discovery
anomaly/novelty (discord) discovery
shapelet discovery
semantic segmentation
streaming (on-line) data
fast approximate matrix profiles
time series chains (temporally ordered set of subsequence patterns)
snippets for summarizing long time series
pan matrix profiles for selecting the best subsequence window size(s)
https://stumpy.readthedocs.io/en/latest/index.html
https://github.com/TDAmeritrade/stumpy
https://towardsdatascience.com/stumpy-basics-21844a2d2d92
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