PySAD: A Streaming Anomaly Detection Framework in Python

• URL: http://arxiv.org/abs/2009.02572v1
• Date: Sat, 5 Sep 2020 17:41:37 GMT
• Title: PySAD: A Streaming Anomaly Detection Framework in Python
• Authors: Selim F. Yilmaz and Suleyman S. Kozat
• Abstract summary: PySAD is an open-source python framework for anomaly detection on streaming data. PySAD builds upon popular open-source frameworks such as PyOD and scikit-learn.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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