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Differential-algebraic simulator in python. Process and control systems are modelled w/ bloc diagrams. It allows algebraic loops, has an automatic steady-state computation, detects singular systems, and uses variable time-step transient integration.
icetools provides a development environment for numerical ice flow models/simulations. Nonlinear rheology and Stokes approach are implemented. "Ready to use" programs/scripts are available based on different numerical libraries, from educational to HPC
Multiplayer framework for flight simulators. Based on M&S HLA 1.3 standards. Provides a 3D air traffic visualization tool and HLA plug-ins for FlightGear, Microsoft Flight Simulator X and X-Plane.
General purpose discrete event simulation (DES) framework for the Python programming language. Khronos gathers ideas from other simulation software and tries to provide a simple and poweful toolset for simulation of discrete systems.
The SIMP/STEP platform provides a fast, efficient, portable abstract framework for interactive and scripted cellular automata and lattice gas computing in the Python environment. SIMP provides a high-level 'programmable matter' laboratory built on
This project is a complete cross-platform (Windows, Linux) framework for Evolutionary Computation in pure python. See the project site at http://pyevolve.sourceforge.net or the blog at http://pyevolve.sourceforge.net/wordpress
Emulica provides manufacturing control engineers and researchers with generic modeling components to build industry-scale virtual (emulated) shop floor systems, and thus test control approaches.
This project examines techniques to model three-dimensional rigid body motion using the geometric algebra of Dual Quaternions and how such models compare to more traditional models when used in underconstrained filtering applications.
ByoDyn (http://cbbl.imim.es/ByoDyn) is a software tool for the study of biochemical networks within the framework of systems biology. SBML compatible, ByoDyn is a group effort of the Computational Biochemistry and Biophysics Lab.
FAUNUS is an object oriented class library for molecular simulation, written in C++. It contains routines and utility programs for, Metropolis Monte Carlo sampling (NVT, NPT, NmuT ensembles), Macromolecules, Proton Titration, Widom Analysis etc.
Ouroborus is an artificial life framework for mobile agents on a background of cellular automata. It can be used to teach and research topics such as population genetics, ecology and evolution. The demo includes a curses view and live Csound audio.
IFoam is an OpenFOAM derived framework. It uses Python programming language for definition of its API. Itegrates visual components for limited post-processing. Provides access to some GUI components for more efficient set up the simulation cases.
The Location Containment Object Model(LCOM) is a simulation framework written in Python. LCOM provides a rule-based solution to handling partial object containment, object migration, message passing, and simulation observation.
Use SASSIE to generate and manipulate large numbers of molecular structures and then calculate the SAXS, SANS, and neutron reflectivity profiles from atomistic structures. Use for intrinsically disordered proteins. We need alpha-testers and developers.
Spyse is a software framework for building multi-agent systems. It allows Python developers to build distributed intelligent systems of multiple cooperative agents based on FIPA, OWL, SOA and many others. Spyse is designed for ease-of-use and fun.
A small simulator for Mendelian genetics, genetic drift, natural selection and random mutations, built on matplotlib and wxpython. A graph will be generated that traces the distribution of genotypes at successive generations.
PGAF provides a framework tuned, user-specific genetic algorithms by handling I/O, UI, and parallelism. It is designed for optimizing functions that take a "very long time" to evaluate.
Free HyperSim is a generic simulator (simulink like) platform adapted for shared projects. Components (icons) are plugins (python code, batch or executable files) which can be shared between users.
The Model Interaction Environment for Neuroscience provides tools for development, searching, editing, execution, and visualization of biophysical models, abstract mathematical models, and experimental protocols used in neuroscience research.
A 3D robots simulator written in python. Uses ODE physics and OpenGL/Inventor graphics. A differential wheels robot is provided. There is no user interface but the code is small and is intended to be easily extended for your simulations.
PyPhys is a set of physical quantity classes written in Python. The classes represent physical quantities (like length, pressure, energy, etc.) that can be assigned and extracted in many different units.