Time Series Classification Python Packages

sktime

A unified framework for machine learning with time series

tslearn

The machine learning toolkit for time series analysis in Python

pyts

A Python package for time series classification

aeon

A toolkit for time series machine learning and deep learning

tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

pytorchtime

Datasets, Transforms and Models specific to Time Series, powered by PyTorch

awesomepmc

Copula-based pairwise Markov chains for non-Gaussian time-series classification, estimation, imputation and forecasting.

momentfm

MOMENT: A Family of Open Time-series Foundation Models, ICML'24

pyrregular

Irregular time series in Python: datasets, classifiers and the benchmark from our ICLR 2026 paper.

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!

fast-borf

Fast, interpretable Bag-of-Receptive-Fields (BORF) features for regular and irregular time series classification, with saliency explanations. IEEE Access 2024.

sequentia

Scikit-Learn compatible HMM and DTW based sequence machine learning algorithms in Python.

convst

Implementation of the Random Dilated Shapelet Transform algorithm along with interpretability tools. ReadTheDocs documentation is not up to date with the current version for now.

tck

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

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!

deep-rehab-pile

A Standardized Benchmark for Skeleton-Based Rehabilitation Assessment Using Deep Learning

refstat

Distance-based deviation scoring, reference standardisation, and temporal pattern decomposition for small reference sets

wtk

A Wasserstein Subsequence Kernel for Time Series.

data-aug-4-tsc

Re-framing Time Series Augmentation Through the Lens of Generative Models

sktime-dl

DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow

tisc

Simple model creation for time series classification in Pytorch

sktime-backup

A unified framework for machine learning with time series