ManageEngine NetFlow Analyzer vs PySAD
ManageEngine NetFlow Analyzer
manageengine.comPySAD
github.comSide by side
| Figure | ManageEngine NetFlow Analyzer | PySAD |
|---|---|---|
| Price from | $172/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| Plans published | 4 | 1 |
| Spec score · Anomaly Detection Software | 7.5 (#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
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.
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.