Open Source Python Simulation Software - Page 10

A package for preference handling and aggregation rules. A number of voting rules discussed in social choice literature have been implemented in order to study various properties of these rules in simulations with randomly generated preferences.

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.

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.

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.

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.

QMcBeaver is an object-oriented program to perform Quantum Monte Carlo calculations on atoms and molecules. It is designed to be easy to modify, allowing new ideas to be quickly implemented.

QtoNum is a calculator for qualitative values (-, +), intervals and crisp numbers with arbitrary precision. QtoNum also handles infinitesimals and infinites. All these types can be mixed in expressions and conversions are performed automatically. QtoNum can be used as an interactive calculator (command line) and as a calculus library.

Calculate electronic properties of graphene-like systems with a user friendly interface. The code uses the tight binding approximation and it is able to stude in a 0D, 1D and 2D geometries, orbital and magnetic fields, intrinsic and extrinsic spin-orbit coupling, sublattice imbalance, and interactions at the mean field level. The most recent version can be found in https://github.com/joselado/quantum-honeycomp Example videos https://www.youtube.com/watch?v=8gO1yRmwgAs https://www.youtube.com/watch?v=FQlkqAW7Nhs https://www.youtube.com/watch?v=R7Kt3_DHTtM https://www.youtube.com/watch?v=tQKG_h0FaTM

The "RISC-0" project is a collection of Python libraries and programs to support the RISC architecture described by Prof. Niklaus Wirth on his web page (http://www.inf.ethz.ch/personal/wirth/Articles/FPGA-relatedWork/index.html)

This project has migrated to github: https://github.com/raysect

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