Struggling to choose between SimScale and Code_Saturne? Both products offer unique advantages, making it a tough decision.
SimScale is a Development solution with tags like cfd, fea, thermal-analysis, cloudbased, web-interface.
It boasts features such as Cloud-based CAE platform, CFD, FEA and thermal simulation capabilities, Intuitive web interface, Collaboration tools, Automated meshing, Result visualization and postprocessing, Geometry import and repair tools, Material database, API access and pros including No need for expensive hardware or software licenses, Easy to use interface, Collaboration features, Fast set up time, Pay-as-you-go pricing, Result accuracy.
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.
SimScale is a cloud-based CAE software that enables engineers to perform simulations like CFD, FEA and thermal analysis using an intuitive web interface. It eliminates the need to invest in expensive hardware and software licenses.
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.