Struggling to choose between Calculix and Code_Saturne? Both products offer unique advantages, making it a tough decision.
Calculix is a Science & Engineering solution with tags like fea, structural-analysis, solver.
It boasts features such as Linear and non-linear structural analysis, Implicit finite element solver, Sparse matrix technology, Pre- and post-processing with CGX, Thermal analysis, Coupled thermo-mechanical analysis, Shape optimization, Buckling analysis and pros including Free and open source, Wide range of analysis capabilities, Good performance for large models, Integrated pre- and post-processing.
On the other hand, Code_Saturne is a Science & Engineering product tagged with cfd, fluid-flow, turbulence-modeling, finite-volume-method, open-source.
Its standout features include Computational fluid dynamics, Turbulence modeling, Conjugate heat transfer, Radiative heat transfer, Lagrangian particle tracking, Immersed volumes method for complex geometries, Parallel processing with MPI, Pre- and post-processing with Salome platform, Scripting with Python, and it shines with pros like Open source and free, Good for research and industrial applications, Advanced physics modeling capabilities, Scriptable and extensible, Scales to large simulations with MPI, Pre- and post-processing integration.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Calculix is an open-source finite element analysis application designed for linear and non-linear structural applications. It utilizes an implicit finite element solver with sparse matrix technology for computing structural deformations, stresses, and strains.
Code_Saturne is an open-source computational fluid dynamics software designed for industrial applications and research. It simulates 3D turbulent fluid flow using an unstructured collocated finite volume method.