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vtkModeling-beta.zip: it is an extension of Visualization ToolKit 5.0. Basically it's a collection of deformation algorithms, like laplacian surface editing, moving least square, mass spring system, etc.
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.
Guanxi is a robust analysis and simulation application for Social Network Analysts. Guanxi allows researchers in the field to create, import, and export an endless array of networks, analyze their structure, and run custom dynamics over them.
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Translates OpenFOAM (Open Source CFD Toolbox, see http://sourceforge.net/projects/foam) data into MED format (see http://www.code-aster.org/outils/med). The initial goal to develop this utility was to be able integrate OpenFOAM functionality with SALOME
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.
MC Traffic es un software que modela el tráfico de la Ciudad de México. Escrito principalmente en Python y Pygame, MC Traffic permite usar imágenes descargadas de Google Maps para hacer simulaciones controladas.
HOT is a package of Matlab and Octave compatible functions that manage thermodynamic data for a wide range of species. Functions calculate almost all the most common thermodynamic quantities of mixtures.
Python users may also want to look at PYroMat at https://chmarti1.github.io/PYroMat/index.html
Programs to download and work with satellite measurements, calculate solar wind (SW) propagation time and compare data to other satellites. It uses and compares different modern techniques to determine the SW planar structures orientation.
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BARNACLE is a Python library for RNA 3D structure prediction. It can be used for probabilistic sampling of RNA structures that are compatible with a given nucleotide sequence and that are RNA like on a local length scale.
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.
The aim of project is creating program environment for solving some integral equations, arising at solving mathematical problems of the diffraction theory.
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.
The project wants to give support to the different tasks and jobs that are made in the common electrical industry. There are many commercial applications that already do the work. We can development by ourselves and make accesible for every one who need
This project is started out of the idea to simulate simple creatures like game of live. The goal is to build up an multi processor/host environment to simulate the building of simple live in given world environments.
GAI is a graphical GIS based front end to ANUGA which allows convenient and visual tools for setting up hydrodynamic models. GAI depends on ANUGA to run the models created by GAI.
Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.
Brian is a new simulator for spiking neural networks available on almost all platforms. The motivation for this project is that a simulator should not only save the time of processors, but also the time of scientists.
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.