0

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

Cite

Notes

Only stored in your browser.

Attribution

Abstract & full text
arxiv.org/abs/2009.02572ARXIV-DEFAULT
TL;DR
Semantic Scholar
Attribution policy →

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.

Authors

2