CESNET/cesnet-datazoo
CESNET DataZoo: A toolset for large network traffic datasets
This tool provides a structured way to access and prepare large datasets of encrypted network traffic, specifically focusing on TLS and QUIC protocols. It helps network researchers and data scientists define training, validation, and test periods, select specific application classes, and apply data transformations. The output is ready-to-use dataframes for building and evaluating traffic classification models.
Available on PyPI.
Use this if you are a network security researcher or data scientist developing machine learning models to classify encrypted network traffic and need curated, large-scale datasets with flexible configuration options.
Not ideal if you are looking for a simple network monitoring tool or a solution for real-time traffic analysis, as this project focuses on preparing historical datasets for research.
Stars
44
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6
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
Dependencies
12
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