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.
PySAD: A Streaming Anomaly Detection Framework in Python
PySAD is a Python framework for real-time streaming anomaly detection with bounded memory, single-pass processing, and adaptability to various learning paradigms.
- Year
- 2020
- Venue
- arXiv 2020
- Authors
- 2
- Hosting
- Abstract onlyARXIV-DEFAULT
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- Abstract & full text
- arxiv.org/abs/2009.02572ARXIV-DEFAULT
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- Semantic Scholar