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ManageEngine NetFlow Analyzer vs PySAD

ManageEngine NetFlow Analyzer

manageengine.com

PySAD

github.com

Side by side

FigureManageEngine NetFlow AnalyzerPySAD
Price from$172/moFree
Free planYesYes
Free trial——
Open source——
WebYes—
WindowsYesYes
macOS—Yes
LinuxYesYes
iOSYes—
AndroidYes—
Plans published41
Spec score · Anomaly Detection Software7.5 (#11)7.4 (#14)

Plans

ManageEngine NetFlow Analyzer

  • Free EditionFree
  • Standard Edition$172 a month
  • Professional Edition$245 a month
  • Enterprise Edition$3,795 a month

ManageEngine NetFlow Analyzer pricing →

PySAD

  • PySADFree

PySAD pricing →

In their own words

ManageEngine NetFlow Analyzer

ManageEngine NetFlow Analyzer monitors network traffic and bandwidth, with application visibility and analysis of conversations between network endpoints. It supports NetFlow, sFlow, IPFIX, J-Flow, NetStream, cflowd, and AppFlow. The product is deployed on premises and lists Android, iOS, Linux, web, and Windows platforms. Its Free Edition costs nothing and covers 2 interfaces. Standard Edition costs $172 a month for 10 interfaces; Professional Edition costs $245 a month for 10 interfaces. Enterprise Edition costs $3,795 a month for 100 interfaces. The listed pricing model is freemium, with a 30-day trial. Interface capacity differs by edition, so the number of interfaces to monitor is central to choosing an option. ManageEngine was founded in 1996 and is headquartered in Pleasanton, California, United States.

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PySAD

PySAD is a free, open-source Python framework for online anomaly detection in streaming data. Its models update when each new data instance arrives, supporting sequential detection for univariate and multivariate data. The project describes 16 online detectors, including xStream, LODA, RS-Hash, Half-Space Trees, and Robust Random Cut Forest. It also provides stream simulators, evaluators, preprocessors, statistic trackers, postprocessors, and probability calibrators. Integrations allow batch anomaly detectors from PyOD to run in a streaming setting. Experiments can use supervised, semi-supervised, or unsupervised settings. The documentation says streaming methods may retain one instance or a small recent window to meet memory and processing constraints. Installation is available through pip or the GitHub source; the current README lists Python 3.10 or newer on Linux, macOS, and Windows. PySAD is self-hosted and distributed under a BSD 3-Clause license. Its plan costs nothing, and 17 labelled benchmark datasets are downloaded on first use.

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