Open Source Python Simulation Software
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Python Simulation Software
View 207 business solutionsBrowse free open source Python Simulation Software and projects below. Use the toggles on the left to filter open source Python Simulation Software by OS, license, language, programming language, and project status.
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CDNsim is a GNU/LINUX simulation tool for CDNs, written in C++ (core) and python (GUI wizard). It models: redirection policies, cache policies, TCP/IP, batch simulations, statistics extraction and more. CDNsim is uses the OMNet++ library
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Simulator of virtual animals made up of biological neural networks for research in the Computational Neuroscience field.
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SunlightLB is an open-source 3d lattice Boltzmann code which can be used to solve a variety of hydrodynamics problems, including passive scalar transport problems.
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Synthetic Biology Software Suite (SynBioSS) is composed of a wiki for biochemical kinetic constants, a graphical interface for simulating synthetic biological pathways, and a simulator that runs on either a desktop or supercomputer.
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allink
Software for data analysis, image processing, simulations, solver.
Collection of utilities based on two basics classes: Matematica and VarData. Matematica) performs math operations on vectors and matrices for smoothing, interpolation, convolution, image processing... VarData) manipulate a structure of points connected by links. Addraw) openGL engine. ElPoly) analyze mechanical properties of polymer and membrane like structures. Addyn) perform molecular dynamics and Monte Carlo simulations and has a solver for 4th oder PDE. Avvis) perform all the operation of Matematica on different sets of data visualized on a Qt graphical interface. DrImage) image manipulation on the Matematica filters. The program is intended to use as less as possible external libs (optional: openGL, gsl, fftw, cgal, png, tiff, boost, MPI, Qt...). -
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STOCHSIM is a stochastic simulator for biochemical reactions. The particles are represented as individual software objects which react according to probabilities derived from concentrations and rate constants. Simple spatial structures can be built.
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