Open Source Python Computational Fluid Dynamics (CFD) Software

FEATool Multiphysics (https://www.featool.com) is a fully integrated toolbox for computer aided engineering CAE, finite element analysis & fluid dynamics simulations. With a very easy-to-use GUI, anyone is now able to quickly set up and perform large scale dynamical and complex engineering physics simulations, with coupled fluid flow, heat transfer, structural mechanics, chemical transport, and electromagnetics effects, without having to learn complex programming. In addition to built-in CAD and pre/post-processing, automatic mesh generation, and multi-physics solvers, FEATool also seamlessly integrates the state-of-the-art OpenFOAM [1], SU2, and FEniCS CFD and FEA solvers. Moreover, native itegration with MATLAB and Python allows advanced simulation scripts and programmatic use cases such as in AI and machine learning [2]. [1]: https://www.featool.com/Easy-to-Use-OpenFOAM-GUI/ [2]: https://featool.com/model-showcase/2024-11-12-CFD-and-Flow-Prediction-Based-on-Deep-Learning

Construct2D is a grid generator designed to create 2D grids for CFD computations on airfoils. The grids are generated in Plot3D format. The only required input file is the set of coordinates defining the airfoil geometry, using the same format as XFoil, the popular vortex-panel code for airfoil analysis. Construct2D can create grids with O topology (recommended for airfoils with a blunt trailing edge) or C topology (recommended for airfoils with a sharp trailing edge). Now available in version 2.0: hyperbolic grid generation to create higher quality grids in a fraction of the time compared to elliptic grid generation. Elliptic grid generation is still available also. Smooth airfoil surface spacing is handled automatically with user-controlled clustering parameters. Also included is a visualizer written in Python with matplotlib.

FFTW++ is a C++ header class for the FFTW Fast Fourier Transform library that automates memory allocation, alignment, planning, wisdom, and communication on both serial and parallel (OpenMP/MPI) architectures. In 2D and 3D, hybrid dealiasing of convolutions substantially reduces memory usage and computation time. Wrappers for C, Python, and Fortran are included.

This project consists of two python based parts, ParaPost and TurboVTK, in order to post process Turbomachinery CFD results with ParaView and VTK.

A CFD program that take advantage of CPU and GPU in local and remote resources using OpenCL Python and Qt.

Fluid2D allows to study a wide variety of 2D flows. It is written entirely in Python. It is both a teaching code and a research code, capable of running from one core to thousands. Its numerics has been chosen to yield to as small dissipation as possible allowing to simulate easily high Reynolds flows, much higher than any of its concurrents. High performances are achieved by writting most of the operations as matrix-vector multiplications, handled by numpy that itself relies on the highly optimized BLAS.

OVERVIEW is a framework for optimization that integrates the visualization of complex fluid solutions and geometries taking advantage of the high performance and cutting edge rendering techniques of modern graphic cards.

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.

Translates OpenFOAM (Open Source CFD Toolbox, see http://sourceforge.net/projects/foam) data into MED format (see http://www.code-aster.org/outils/med). The initial goal to develop this utility was to be able integrate OpenFOAM functionality with SALOME

pyFoam is a Python front-end to the OpenFOAM (Open Source CFD Toolbox). It introduces interactivity into OpenFOAM, simplifies connection with third-party functionality and streamlines design of custom user solvers