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tslearn

The machine learning toolkit for time series analysis in Python

aeon

A toolkit for time series machine learning and deep learning

kshape

Python implementation of k-Shape

tsml

A toolkit for time series machine learning algorithms that don't fit in aeon. Use aeon instead if you can!

fabba

An efficient symbolic time series approximation with ABBA.

pyiomica

PyIOmica (pyiomica) is a Python package for omics analyses.

featts

FeatTS is a Semi-Supervised Clustering method that leverages features extracted from the raw time series to create clusters that reflect the original time series.

tsa-course

Book and material for the course "Time series analysis with Python" (STA-2003)

reservoir-computing

Library for implementing reservoir computing models (Echo State Networks) for multivariate time series classification, clustering, and forecasting.

tck

Kernel similarity for classification and clustering of multi-variate time series with missing values.

constrained-linkage

Hierarchical agglomerative clustering with soft constraints (SciPy-compatible Z).

chronoclust

A clustering algorithm that will perform clustering on each of a time-series of discrete datasets, and explicitly track the evolution of clusters over time.

tsma

(time series model analyses) This package offers tools for analyzing models that generate multivariate time series as output.

kgraph-ts

Graph Embedding for Interpretable Time Series Clustering

timexseries-clustering

Library for Time-Series Clustering-as-a-Service.