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Data as of Oct 20, 2026Based on 7,292 AI responses
Reviewed by Dimitry Apollonsky
The nPrint Project is an open-source collection of software and benchmarks for generalizable, ML-based network traffic analysis, aiming to replace task-specific approaches. It includes nprint, a generic representation for ML-powered traffic analysis; nprintml, which combines nPrint with automated machine learning to create fully automated traffic analysis pipelines; and pcapML (including pcapML_Fe), which encodes metadata into raw traffic captures to standardize dataset-level tasks. The project provides benchmarks to enable quick, comparable evaluation of traffic analysis tasks and is released under the Apache 2.0 license.
Hosted on GitHub Pages
<1%
across nPrint’s markets · since Jul 5
Question: I am looking for a network traffic analysis tool that uses machine learning to detect anomalies.
ChatGPT SearchAug 11, 2026
nPrint/nPrintML — An interesting open-source option if your goal is actually researching or building ML-based traffic analysis, rather than buying an NDR appliance.
Each engine’s share of its own answers across nPrint’s markets · since Jul 5
This page is cited in 75% of the answers that name nPrint.
Review this page on your site for accurate product details and clear explanations of who it helps.
All-time evidence through 2026-08-11.
Review the page on nprint.github.io (opens in a new tab)nprint.github.io 100%Other sites 0%
Question: I am looking for a network traffic analysis tool that uses machine learning to detect anomalies.
ChatGPT SearchJul 26, 2026
The nPrint Project was created specifically to simplify machine learning on network traffic.
Excerpts where nPrint appeared in the AI's answer
nPrint/nPrintML — An interesting open-source option if your goal is actually researching or building ML-based traffic analysis, rather than buying an NDR appliance.
The nPrint Project was created specifically to simplify machine learning on network traffic.
