Matrixprofile-ts – A Python library for timeseries motifs and discords
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile - target/matrixprofile-ts
Matrixprofile-ts – A Python library for timeseries motifs and discords launched on January 4, 2019 with 95 votes, #365 of 2,587 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 7 years on.
In plain words
Matrixprofile-ts is a Python library designed for analyzing time series data to identify motifs and discords. It's built for developers and data scientists who need to find recurring patterns and anomalies in temporal datasets. The library provides tools to detect similar subsequences within time series and locate unusual data segments, making it useful for applications like sensor data analysis, financial monitoring, and anomaly detection in sequential information.
written from the facts on this page · September 2026
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