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Symbolics.jl is a high-performance symbolic computation library for the Julia programming language. It enables users to define, manipulate, and analyze mathematical expressions symbolically, with strong support for symbolic differentiation, simplification, equation solving, and code generation. Designed for use in scientific computing, machine learning, and engineering, Symbolics.jl integrates smoothly with Julia’s numerical ecosystem, allowing symbolic expressions to be compiled and optimized for high-speed evaluation.

...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]...

...You can set up your simulations quickly as well as tailor the code to your own specific needs and create a custom multiphysics models. QuickerSim CFD Toolbox is appreciated by engineers for its simplicity and flexibility. It doesn’t require any preliminary programming skills and enables the development of efficient tools dedicated to specific projects. The open structure of the Toolbox allows scientists to take full advantage of its features and adapt the software to their field of research. QuickerSim CFD Toolbox facilitates implementation of custom multiphysics models accommodating projects in various branches of science and engineering.