@article{truong_ruptures_2018,
	title = {ruptures: change point detection in {Python}},
	shorttitle = {ruptures},
	url = {http://arxiv.org/abs/1801.00826},
	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.},
	urldate = {2020-10-02},
	journal = {arXiv:1801.00826 [cs, stat]},
	author = {Truong, Charles and Oudre, Laurent and Vayatis, Nicolas},
	month = jan,
	year = {2018},
	note = {arXiv: 1801.00826},
	keywords = {Computer Science - Mathematical Software, Statistics - Computation},
}

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