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KU1K is a set of tools for 4D,5D and 6D compact U(1) lattice gauge theory Monte Carlo simulation using the Skipis-Vantzos algorithm. As the calculations involved, even for the 4D case, are consuming, the project is modular so as to run on the Grid.
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?)
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.
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FEVal, the Finite Element Evaluator written in Python, provides easy conversion for many Finite Element data formats (both binary and ascii). Mesh modification is very easy. Values of model results can be accessed given coordinates in physical space.
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.
Freeode is a compiler for the SIML programming language. It is a specialized language to solve differential equations. The compiler creates a python program that uses Numpy and Scipy to do the numerical computations.
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.
aVolve is an evolutionary/genetic algorithm designed to evolve single-cell organisms in a micro ecosystem. It currently uses the JGAP Genetic algorithm, but does include a primitive genetic algorithm written in Python.
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This is an educational example of how to run a numerical model (in Fortran) from Python, including data handling (netCDF), configuration with a config file, etc.
Parilya is a educational-pourpose cellular automata framework written in Python and GTK. The main goal of Parilya is to give you the possibility to easily and quickly code your bidimensional cellular automata in a full-featured GTK+ workbench.
Python program devoted to study the relationship between cells during inmune response. It is based on a 3D periodic boundary conditions grid where cells see each other and react according to certain movement, growth and interaction rules.
Distributions Networks Analyzer (DNA) is a tool for simulating (power flow) and analyzing electrical distribution networks. Users can easily implement and test their own power flow, optimal power flow and control algorithms.
Set of scripts based on gaussian optics, which allow you to analyze the image waist created from a gaussian beam, and quickly determine 1-lens and 2-lens mode matching configurations to match a beam waist to another waist size
Create a series of programs to help ABAQUS users from creating models to retrieve results.
Partially dump the slow and resource-consuming CAE interface.
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.