Open Source Python Simulation Software - Page 11

Simulator for large neuronal networks using leaky INF as its basic element. Simple few line scripts will enable rapid creation of large networks with different connectivities. Aimed at researchers interested in quickly testing large networks of neurons.

Stochastic simulator for signaling pathways occuring in biological cells. Handles reaction-diffusion processes in 3D tetrahedral meshes. Please check our new repository: https://github.com/CNS-OIST/STEPS

As the final step of manufacturing, assembly plays a very important role. During lens assembly, fabrication errors of components are summarized and dramatically affects lens performance. Selective assembly is cost-effective solution for improving the quality of assembled product. Also selective assembly could reduce cost of product by allowing loose tolerances. Selective Assembly GUI Application (SAGA) is ZEMAX extension which allows you to arrange components in best possible assemblies.

Sempy is a Python package for the solution of partial differential equations using the spectral element method.

SimED is a user-friendly Differential Equation simulation software. It can integrate numerically ODEs (Ordinary Differential Equations) using several methods, plot time and phase-space diagrams for variables, and interactively choose initial conditions.

SimForge is a web-based Agent Based Model of an Open Source Ecosystem implemented in Python with Django. Developers act on randomly drawn preferences to create, collaborate, and use software.

SAPS (Simple AOMDV Protocol Simulator) to narzędzie, które powstało na wydziale EITI Politechniki Warszawskiej. Służy do symulacji rutowania w sieciach opartych o protokół AOMDV. Wymagane biblioteki: - Python3.0+ - PyQt5+ - seqdiag ToDo: - Translacja na jęz. angielski - Ustawienia programu - Obserwacja wielu węzłów MSC. Autorzy: Daniel Waślicki Maciej Chotkowski

Slowmo is an application developed to calculate and plot the travel times of the wave front of a tsunami.

This Python module provides basic facilities for mathematics on fixed-point numbers. The number of fractional binary digits is tunable, allowing near-arbitrary precision arithmetic. Arithmetic & functions such as sqrt, exp, log, sin & cos are available. For the latest releases please visit https://github.com/rwpenney/spfpm

edef - A small simulation framework for logic circuits, autoregressive processes, digital controller circuits and many more. Also there is a GUI application, that integrates a simple development environment and a circuit editor.

Simula Generación 1.

This is a set of Python classes that can be used to simulate dynamic multi-body systems. It used to be a project for studies. Now it is not being worked on anymore, but it is completely GPLized.

Sketcher is a real-time 2D physics simulator where objects drawn on a virtual sketchpad can interact with each other when gravity is enabled. Additional features will allow multiple users to join sessions and concurrently interact using shared sketchpads

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.

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.

The aim of project is creating program environment for solving some integral equations, arising at solving mathematical problems of the diffraction theory.

Spasmos is a Python package that allows scientists to simulate the dynamics of highly collisional plasmas using a number of numerical methods.

As of August 2018 Spheral++ has moved to Github -- please see the current repository at https://github.com/jmikeowen/spheral We are leaving a frozen version here on SourceForge for historical reasons. Spheral++ provides a steerable parallel environment for performing coupled hydrodynamical & gravitational numerical simulations. Hydrodynamics and gravity are modelled using particle based methods (SPH and N-Body).

En demonstratar av ett verktyg som simulerar åtgärder mot buller från järnväg.

SunlightDPD provides a home for open source codes related to the dissipative particle dynamics (DPD) simulation method. Currently the file release contains the HNC integral equation code.

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.

This project simulates a multi-agent system (swarm) behavior both graphically and not. The purpose of this project is to research the properties suggested in "stability analysis of swarms" V.Gazi & K.M.Passino. Using the vpython library for 3D modeling

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.

TEACUP automates many aspects of running TCP performance experiments in a specially-constructed physical testbed. TEACUP enables repeatable testing of different TCP algorithms over a range of emulated network path conditions, bottleneck rate limits and bottleneck queuing disciplines. TEACUP utilises a text-based configuration file to define experiments as combinations of parameters specifying desired network path and end host conditions. When multiple values are provided (e.g. for TCP congestion control algorithm), an experiment is made up of multiple tests. For each experiment and test, TEACUP collects a range of data, such as tcpdump files of traffic seen or TCP stack information (e.g. using Web10G). TEACUP also collects a variety of metadata from the end hosts and bottleneck router, such as the actual OS/kernel version(s) used. TEACUP also provides some simple tools for analysing the results of experiments, such as plotting a flow's experienced RTT over time.

This is a template Python code set which makes it easy to use JModelica to solve optimal control problem. The template includes a sample model definition file (opt_definition.mop) and a .bat file (run_me.bat) to start its calculation. After download the template, immediately you can run JModelica by only double-clicking run_me.bat file, and obtain the optimization result. Please go to the page given below for the information of how to start to use this and its details.