Motif Discovery Python Packages

stumpy

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

pyjaspar

pyJASPAR: A Pythonic interface to JASPAR transcription factor motifs

matrixprofile

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

memewrap

Python wrappers for the MEME-suite CLI: STREME, TOMTOM and FIMO.

matrixprofile-ts

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

motiflets

Motiflets

moca

:m: Tool for motif conservation analysis

leitmotif

Discovering Leitmotifs in Multidimensional Time Series

motifscan

A motif discovery tool to detect the occurrences of known motifs

tsmd

The TSMD project brings together Motif Discovery methods for Time Series, aiming to compare their performance through well-defined research questions and to simplify their practical use. It provides both guidelines for selecting the most suitable methods based on the data, and accessible implementations of the most relevant approaches.

dtai-locomotif

LoCoMotif is a time series motif discovery method that discovers variable-length motif sets in multivariate time series using time warping

beautifulmotifs

Detect and extract beautiful musical motifs from MIDI files with transformers