ruptures swMATH ID: 22394 Software Authors: Charles Truong, Laurent Oudre, Nicolas Vayatis Description: ruptures: change point detection in Python. 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. Homepage: https://arxiv.org/abs/1801.00826 Source Code: https://github.com/deepcharles/ruptures Dependencies: Python Keywords: Change Point Detection; Signal Segmentation; Time Series; Python; Computation; arXiv stat.CO; Mathematical Software; arXiv cs.MS; arXiv Related Software: GitHub; Python; changepoint; ecp; PyEMD; Deeptime; darts; cesium; Banpei; ta; TA-Lib; surfboard; SigPy; PyRate; PyCBC; MintPy; jhTAlib; AlphaPy; tftb; PyTorchTS Cited in: 1 Publication Cited by 3 Authors 1 Arlot, Sylvain 1 Celisse, Alain 1 Harchaoui, Zaid Cited in 1 Serial 1 Journal of Machine Learning Research (JMLR) Cited in 1 Field 1 Statistics (62-XX) Citations by Year