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

fabba

A Python library for the fast symbolic approximation of time series

tsml

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

kshape

Python implementation of k-Shape

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.

tck

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

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)

tsa-course

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

reservoir-computing

Implement Reservoir Computing models for time series classification, clustering, forecasting, and much more!

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

Tsma is a project for times series model analysis, based on a 6-month study on ABMs, in the econophysix team.

kgraph-ts

Graph Embedding for Interpretable Time Series Clustering

timexseries-clustering

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