Dduq-traffic is a project that helps businesses monitor and analyze website traffic. It provides insights on user behavior, allowing businesses to identify potential issues and optimize their online presence.

The ctf_2023 project is a platform designed for ethical hacking competitions, focusing on capturing and analyzing network traffic, identifying and reporting security vulnerabilities. It offers a competitive environment for cybersecurity enthusiasts and professionals to test and improve their skills.

This project is a network traffic analysis tool that studies the TCP, ARP, and DNS protocols. It allows the user to capture and analyze network traffic to understand the behavior of these protocols. The tool also provides a time sequence graph to visualize the evolution of sequence numbers in TCP traffic.

The rt-capture-module project is a network traffic analysis tool designed to capture and analyze network packets in real-time. It can identify and categorize network devices, as well as generate network topology maps to provide a visual representation of the network. The project's primary goal is to enhance network security and performance by providing detailed insights into network traffic.

TorPylle is a Python implementation of the OR (TOR) protocol using the Scapy library. It allows users to analyze network traffic and implement custom network protocols.

Shlink-app is a URL shortening service that allows users to reduce long URLs to a shorter version, making them easier to share and remember. The service tracks clicks on the shortened URLs, providing detailed statistics about the traffic, such as the number of clicks, the location of the users, and the referrer. This information can be used to analyze the audience and the performance of marketing campaigns.

Track Analyzer est une pipeline Python de visualisation et d'analyse de données de suivi d'objets. Il ne réalise pas de suivi d'objets, mais permet de visualiser et de quantifier tout type de données de suivi. Il analyse les trajectoires en calculant des grandeurs telles que la vitesse, l'accélération, le coefficient de diffusion, la densité locale, etc. Les trajectoires peuvent être représentées sur l'image d'origine en 2D ou 3D en utilisant un codage de couleur personnalisé.