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Maybe of interest in that context:

The authors of that tool have a strong background in modeling and simulation of differential algebraic equations. Not so much in designing DSLs, though, so there maybe some technical oddities. But I expect the simulation aspect to be quite decent.

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Modia.jl is great! Though note that there are other M&S DAE libraries in Julia which stray from the Modelica DSL syntax. For example, ModelingToolkit.jl can do it directly by modifying Julia code:

https://www.stochasticlifestyle.com/generalizing-automatic-d...

or it can work via a component-based modeling DSL:

https://mtk.sciml.ai/dev/tutorials/acausal_components/

Modia.jl is built by Hilding Elmquist, Martin Otter and their collaborators. These are some of the best folks in the world - Hilding's thesis in 1978 described equation oriented modeling. It had to wait until computers became powerful enough in the 90s to become broadly usable.

https://people.inf.ethz.ch/fcellier/Res/Soft/Dymola_engl.htm...

We've had the benefit of learning from them and their presentations at JuliaCon and collaborating. More is coming. In the meanwhile - do see this JuliaCon talk by Hilding:

https://www.youtube.com/watch?v=hVg1eL1Qkws

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