ruptures: change point detection in Python

TL;DR

ruptures is a Python library that simplifies offline change point detection in non-stationary signals, offering various algorithms with a user-friendly interface and modular design for easy extension.

Contribution

It introduces a comprehensive, easy-to-use Python package for change point detection with modular algorithms and models, enhancing flexibility and accessibility.

Findings

Supports exact and approximate detection methods

Provides a consistent, well-documented interface

Allows easy extension and customization of algorithms

Abstract

ruptures is a Python library for offline change point detection. This package provides methods for the analysis and segmentation of non-stationary signals. Implemented algorithms include exact and approximate detection for various parametric and non-parametric models. ruptures focuses on ease of use by providing a well-documented and consistent interface. In addition, thanks to its modular structure, different algorithms and models can be connected and extended within this package.