Time Series Clustering Python Packages

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.

constrained-linkage

Python implementation of a (plug-and-play) constrained linkage function for constrained hierarchical clustering with maximum cluster size, minimum cluster size, must-link, cannot-link and custom constraints, returns SciPy-compatible linkage matrix for subsequent Hierarchical Agglomerative Clustering. Based on HEAT published in Energy and AI (2025)

reservoir-computing

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

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.

tck

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

tsa-course

A collection of scripts and functions used in the course 'Time Series Analysis with Python'

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.

kgraph-ts

Graph Embedding for Interpretable Time Series Clustering

timexseries-clustering

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

tsma

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

tslearn-m1

The machine learning toolkit for time series analysis in Python