fem_hughes VS dolfinx

Compare fem_hughes vs dolfinx and see what are their differences.

fem_hughes

DLEARN is a linear static and dynamic finite element code written in Fortran. (by fit087)
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fem_hughes dolfinx
1 18
7 658
- 2.4%
10.0 9.6
almost 7 years ago about 23 hours ago
Fortran C++
GNU General Public License v3.0 only GNU Lesser General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

fem_hughes

Posts with mentions or reviews of fem_hughes. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-05.
  • Eighty Years of the Finite Element Method: Birth, Evolution, and Future
    2 projects | news.ycombinator.com | 5 Nov 2022
    I was lucky enough to have taken two FEA classes from Hughes in the 80s. I worked with his DLEARN [1] code many times back then. He was a great teacher.

    I never had the pleasure of taking classes from Juan Carlos Simo, but he was known to have outstanding classes. His was a very brilliant light & life cut too short by cancer at the young age of 42.

    [1]. DLEARN is a linear static and dynamic finite element code written in Fortran. https://github.com/fit087/fem_hughes

dolfinx

Posts with mentions or reviews of dolfinx. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-19.

What are some alternatives?

When comparing fem_hughes and dolfinx you can also consider the following projects:

Gridap.jl - Grid-based approximation of partial differential equations in Julia

mfem - Lightweight, general, scalable C++ library for finite element methods

taichi - Productive, portable, and performant GPU programming in Python.

ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

pykokkos - Performance portable parallel programming in Python.

libmesh - libMesh github repository

FreeFem-sources - FreeFEM source code

preCICE - A coupling library for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations.

moose - Multiphysics Object Oriented Simulation Environment

seed7 - Source code of Seed7

rodin - Modern C++17 finite element method and shape optimization framework.

hippylib - An Extensible Software Framework for Large-Scale Inverse Problems