The scattering_models project is a tool for simulating and analyzing particle scattering. It allows users to input particle properties and scattering conditions, and then generates scattering patterns based on various physical models. The results can be visualized and analyzed to gain insights into the scattering behavior of the particles.

This project contains a Logstash configuration file for processing Open edX tracking logs, anonymizing personal user data in the process. The structured data can then be used for various business purposes such as analyzing user behavior or improving course content.

The h24 project is a tool for simulating and analyzing human interactions in various contexts. It allows users to model social behaviors, visualize patterns, and predict health trends based on the simulated data. The project uses advanced algorithms and machine learning techniques to provide accurate and insightful results.

Odile is a project focused on tracing mobile apps on android to analyze user behavior and visualize app usage patterns. It provides insights to improve the user experience and optimize app performance.

CK-ADMGs (Causal Knowledgeable Acyclic Directed Mixed Graphs) is a project that allows users to model causal relationships in complex systems, analyze the impact of interventions, and visualize relationships between variables. It is a powerful tool for decision-making and understanding the behavior of complex systems.

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.

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.