Open Source C UML Tools for Linux

An optimized C library for numerically solving exterior ballistics problems. It supports standard drag models (Drag Functions G1-G8). The solution method is the common "3 degree of freedom" analysis found in many commercial programs.

A portable, high-level 3D engine with an emphasis on generality. So far it is mainly used in CAD applications in need of geometrical constraint solving and other geometrical methods. FreeSG is designed as an integrable component and not a framework.

Generates and simulates realistic traffic patterns. Focuses on detailed zone model & simplistic characters living at designated zones. Easy-to-use plugin for city and traffic simulators. Demo uses Ogre 3D.

MASyV (Multi-Agent System Visualization) enables one to write agent-based models/cellular automata, eg. in C, visualize them in real time & capture to movie file with MASyVs GUI & message passing lib. Includes examples: Hello World, ants, viral infection

The Network Security Response Framework (NSRF) allows for testing different computer security response engines and methodologies. It supports simulated and real: Intrusion Detection Systems (sensors), Attacks, and Responses.

RANGE: produce random genetic transcription networks in the NEMO language, which when compiled outputs models in Systems Biology Markup Language. Generate synthetic microarray data, or use NEMO alone to SBML-ize a network, or visualize it in cytoscape.

SPSens is a complete software package written in C that estimates parameter sensitivities for stochastic models of chemical and biochemical reaction networks using Monte Carlo (MC) stochastic simulations. It is possible to estimate sensitivities with respect to system parameters using the following algorithms: finite difference methods (crude monte carlo, common reaction path, coupled finite differences); likelihood ratio methods; and regularized pathwise derivatives. Additionally the package includes basic stochastic simulation algorithms. The package includes several example networks which can be easily modified for other networks. Serial and parallel MPI implementations can be built and called from the command line. The serial implementation of the package can also be called from Matlab via the MEX interface with limited functionality. It supports many user specified options, including the use of antithetic sampling that can be used in some cases to increase efficiency.

This project aims to model parasites in order to assist in the analysis and prediction of their behavior.