Machine Learning Library
3.1k 2026-04-22
tslearn-team/tslearn
A comprehensive Python toolkit for machine learning tasks specifically tailored for time series analysis.
Core Features
Standardized time series data formatting and handling (including variable-length support)
Extensive data preprocessing and transformation utilities (scaling, resampling, piece-wise)
Utilities for loading popular time series datasets (UCR) and synthetic data generation
Provides a range of machine learning algorithms optimized for time series data
Quick Start
python -m pip install tslearnDetailed Introduction
tslearn is an open-source Python library designed to empower data scientists and machine learning engineers with robust tools for time series analysis. It simplifies the complex process of preparing, transforming, and applying machine learning algorithms to time series data, supporting various formats including variable-length series. By offering a unified framework for common tasks like data formatting, preprocessing, and dataset management, tslearn aims to accelerate research and development in time series machine learning.