PySAD: A Streaming Anomaly Detection Framework in Python
- AI4TS

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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.
View on arXiv@article{yilmaz2025_2009.02572, title={ PySAD: A Streaming Anomaly Detection Framework in Python }, author={ Selim F. Yilmaz and Suleyman S. Kozat }, journal={arXiv preprint arXiv:2009.02572}, year={ 2025 } }
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