PySAD: A Streaming Anomaly Detection Framework in Python

PySAD: A Streaming Anomaly Detection Framework in Python. Yilmaz, S. F. & Kozat, S. S. arXiv:2009.02572 [cs, stat], September, 2020. arXiv: 2009.02572

Paper abstract bibtex

PySAD is an open-source python framework for anomaly detection on streaming data. PySAD serves various state-of-the-art methods for streaming anomaly detection. The framework provides a complete set of tools to design anomaly detection experiments ranging from projectors to probability calibrators. PySAD builds upon popular open-source frameworks such as PyOD and scikit-learn. We enforce software quality by enforcing compliance with PEP8 guidelines, functional testing and using continuous integration. The source code is publicly available on https://github.com/selimfirat/pysad.

@article{yilmaz_pysad_2020,
	title = {{PySAD}: {A} {Streaming} {Anomaly} {Detection} {Framework} in {Python}},
	shorttitle = {{PySAD}},
	url = {http://arxiv.org/abs/2009.02572},
	abstract = {PySAD is an open-source python framework for anomaly detection on streaming data. PySAD serves various state-of-the-art methods for streaming anomaly detection. The framework provides a complete set of tools to design anomaly detection experiments ranging from projectors to probability calibrators. PySAD builds upon popular open-source frameworks such as PyOD and scikit-learn. We enforce software quality by enforcing compliance with PEP8 guidelines, functional testing and using continuous integration. The source code is publicly available on https://github.com/selimfirat/pysad.},
	urldate = {2021-10-15},
	journal = {arXiv:2009.02572 [cs, stat]},
	author = {Yilmaz, Selim F. and Kozat, Suleyman S.},
	month = sep,
	year = {2020},
	note = {arXiv: 2009.02572},
	keywords = {Computer Science - Machine Learning, Statistics - Machine Learning},
}

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