fluid

FLUX — the open, declarative standard for governed synthetic customer universes. Discovery-side sibling of FLUID: declare the universe, prove the rule, ship the contract that was proven.

LunarCFD is a 2D CFD software made for fun

open channel, irrigation, civil engineering

A Python-based PIC/FLIP 3D Fluid Solver for Autodesk Maya

This repository contains the code and data for simulating and analyzing the hydrodynamics of gas bubbles in tapered fluidized beds using CFD and image processing methods.

Fluid Simulation in Python

TwOasis - High-level/high-performance two-phase flow simulation

This repository contains a python script to solve 1d convection diffusion equation, this is a common beginner problem for those starting to get into CFD

Psycho-i is a finite volume solver for the compressible Euler equations with a focus on investigating flow instabilities

Hive mind alpha

A usable yet professional cross-platform programming framework for desktop, mobile, web and IoT apps.

A research-oriented framework for data-driven surrogate modeling of CFD simulations using reduced-order modeling and machine learning.

A comprehensive compilation of open-source software, public datasets, and computational tools for Water Resources Engineering and hydrological modeling.

Pipeline API for manipulating dataframes

Movie recommendation web-service

A data-driven tool for automated particle image velocimetry (PIV) post-processing.

OpenPTV 2.0 is a new repo for the well known OpenPTV toolbox and it has one codebase in Cython 3+ pure Python mode with TraitsUI/Chaco GUI.

A high-performance Python/Numba implementation of Multi-Particle Collision Dynamics (MPCD/SRD) with spherical squirmer boundary conditions. This simulation uses ghost/phantom particles to enforce prescribed tangential slip velocities, enabling the study of self-propelled swimmers and chiral motion in fluid media.

im just gunna scan a bunch of CFD sims and look for weird trends then maybe take that to the lab to see if I was wrong. maybe write a math paper on it or somthing. then prolly just take all that data and feed it a machine learning model, but im getting WAY a head of myself here. im still working on forking properly.