PySAD

6.9easy start · #9 of 19
in Anomaly Detection Software

Free to practise onyes
Free trialnot on record
Well documentedyes
Runs where you workyes

Runs on Linux, Mac, Windows.

PySAD is ranked #9 of 19 in anomaly detection software on The Geeks Club. It runs on Linux, macOS, Windows. There is a free plan.

PySAD plans and pricing

All plans

PySAD Free Open-source Python framework github.com · 2 Oct 2026

Compared on anomaly detection software

Free plan: Yes
Detection method: hybrid
Real-time detection: Yes
Supported data: univariate data; multivariate data; streaming data
Deployment options: self-hosted

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The record

Purpose: PySAD is an open-source Python framework for anomaly detection on streaming multivariate data.
Online detection: Its models update as each new data instance arrives for online or sequential anomaly detection.
Detectors: The repository describes 16 online detectors, including xStream, LODA, RS-Hash, Half-Space Trees, and Robust Random Cut Forest.
Resource use: The documentation says streaming methods may store only an instance or a small window of recent instances to meet memory and processing constraints.
Evaluation tools: PySAD includes stream simulators, evaluators, preprocessors, statistic trackers, postprocessors, and probability calibrators.
PyOD integration: PySAD provides integrations that let batch anomaly detectors from PyOD run in a streaming setting.
Data and learning settings: The framework supports models for univariate and multivariate data and experiments in supervised, semi-supervised, and unsupervised settings.
Installation: The project can be installed with pip or from its GitHub source, and its current README lists Python 3.10 or newer on Linux, macOS, and Windows.
License: The project is distributed under a BSD 3-Clause license.
Support: The maintainer says issues and pull requests are welcome and aims to reply within a few days; questions and show-and-tell go in GitHub Discussions.
Benchmarks: The README says 17 labelled benchmark datasets are downloaded on first use.
Security: The repository links to a security policy, but the policy page could not be opened during this research.
Maintainer: The GitHub profile identifies Selim Firat Yilmaz as an AI researcher based in London, UK.
Price from: Free

Where it ranks on The Geeks Club

Best Anomaly Detection Software in 2026#9 of 19

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Sources

pysad.readthedocs.io/en/stable/· checked 2 Oct 2026
github.com/selimfirat/pysad· checked 2 Oct 2026
github.com/selimfirat· checked 2 Oct 2026