Open Source Simulation Software - Page 69

PyAMS (Python for Analog and Mixed Signals) is used to simplify modeling analog elements and simulate electronic circuit The objectives of PyAMS is: - Drawing circuit by schematic (CAD approach); - Simulating the circuit; - Creating new symbols for models; - Creating new models of electrical elements by using Python language with pyams_lib; - Presenting simulation results in waveform or in probe; - PyAMS is developed with Python 3+, ElectronJS and NodeJs - Licensed under: PyAMS is free to use. GPLv3 . - Open source.

PyAero is a toolkit developped at andheo for CFD software : post-processing, curve generation, … Currently PyAero focuses on ONERA's code "Cedre". PyAero is powered by Qt, Python, PySide, enthought and pyLot.

Ant foraging simulation. Ants can be programmed using Python. Actual programme writtenin c++ using SDL

PyBact is an open source software written in Python for Bacterial Identification. The software generates simulated data matrix which accurately represents the probabilistic positive/negative results of the tested biochemical test.

An interactive tool for the simulation and visualization of the electromagnetic activity of the brain.

Project to be released. Test.

An Economy Simulation with many Possibilities trying to be near to reality. Using XML, Python an OpenGL to make it useable on many OS. And also beeing an simulation taht can be so realistic that ist could be used for research (maybe).

An easy-to-use python interface to GENESIS3.

PyMaTi is a simple and easy to use GUI for numerical and scientific computing in Python. It surrounds well know packages NumPy and Matplotlib and provides possibility to immediately play with numerical python from intuitive user interface.

PyMbs has moved to Bitbucket: https://bitbucket.org/pymbs/pymbs PyMbs is a Python library for modelling holonomic multibody systems. It is able to generate simulation code for Python, Modelica and Matlab.

PyParticles is an opensource particles simulation tool box entirely written in python. It support the most popular integrations methods and the most relevant forces model. It also offer a nice looking OpneGL interface or at your preference a Matplotlib based GUI. PyParticles as a forces models implements Gravity, spring, constant force and electrostatic and the user defined vector field force. As a integrations method it includes Euler, Midpoint, Runge Kutta, Störmer Verlet and Leap frog.

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.

PyPlayground is an environment for developing algorithms involving movement in a space of up to three dimensions using Python.

PyZgoubi is an interface to the Zgoubi particle tracking code written in python. It aims to ease the use of Zgoubi by providing a simple interface to create beam line elements and particles, and to automate running and analysing of simulations.

A collection of modules and enduser tools designed to help design, test and use system models. While my research (hence, the examples) is focused on hydro-ecological systems, the program can be used on any system characterized by ODEs (and soon PDEs?)

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.

PySCeS is the Python Simulator of Cellular Systems. For a network of coupled reactions it does a stoichiometric matrix analysis, calculates the time course and steady state, and does a complete control analysis.

Pysolar is a Python library for calculating the position of the sun relative to the earth as a function of latitude, longitude, and time. There is also code included for other problems related to the development of photovoltaic systems. Still in alpha.

Moved to Google Code, see http://code.google.com/p/pythonequations/downloads/list

The main goal of this project was developing phase-field simulations of lithium dendrite growth with FEniCS programmed in Python. The problem was based in the grand potential-based model of Zijian Hong and Venkatasubramanian Viswanathan (https://doi.org/10.1021/acsenergylett.8b01009) . Some simpler examples were developed before for a first approach with FEniCS: heat equation and combustion model.

Q++ is a cross platform C++ template library used for simulating quantum computation. Its purpose is to allow testing of quantum algorithms by providing a quicker way to create programs compiled for speed.

Sensor training simulator.

QCF is a toolbox of Quantum Computing Functions for Matlab and Octave. It is based on the syntax of Nielsen & Chuang's book 'Quantum Computing and Quantum Information'. It includes simulations of the Grover and Deutsch algorithms and a pdf tutorial.

A cross-platform cellular automaton facility. Implements simulation and visualization of multi-dimensional cellural automatas locally or in distributed mode.

QDC (quick direct-method controlled) is an optimized exact implementation of the Gillespie's direct-method. It is designed for biochemical simulations when there is the need of dynamic parameters whose values can change during the simulation.