STUMPY is a powerful and scalable Python library for modern time series analysis

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

The fastest way to compute matrix profiles on CPU and GPU!

An open-source library of algorithms to analyse time series in GPU and CPU.

R Functions implementing UCR Matrix Profile Algorithm

golang library for computing matrix profiles along with other time series analysis features

A Java library for Matrix Profile

Time-series analysis using the Matrix profile in Julia

An academic project to introduce Dynamic Time Warping (DTW) distance into Matrix Profile.

This is the core functions needed by the `tsmp` package. The low level and carefully checked mathematical functions are here. These are implementations of the Matrix Profile concept that was created by CS-UCR <http://www.cs.ucr.edu/~eamonn/MatrixProfile.html>.

NATSA is the first near-data-processing accelerator for time series analysis based on the Matrix Profile (SCRIMP) algorithm. NATSA exploits modern 3D-stacked High Bandwidth Memory (HBM) to enable efficient and fast matrix profile computation near memory. Described in ICCD 2020 by Fernandez et al. https://people.inf.ethz.ch/omutlu/pub/NATSA_time-…

C# binding for Khiva library.

PhD Programme in Health Data Science - detecting life-threatening ECG patterns using low-end devices

Jupyter Notebooks for time series analysis using STUMPY (matrix profile)

Config files for my GitHub profile. Please don't fork it. I am using lowlighter/metrics to retrieve and display information from github. Check the information in the tool author repository or raw.

Time Series Anomaly Detection Solutions for KDD2021 UCR dataset

Publishing and analysing time series on the Semantic Web with Matrix Profile techniques

node-matrix-profile provides a binding to use SCAMP in your Node.js applications

A python implementation of the SiMPle-Fast algorithm for audio motif detection

Matrix Profile application in building energy field.