Modia.jl

Modeling and simulation of multidomain engineering systems (by ModiaSim)

Modia.jl Alternatives

Similar projects and alternatives to Modia.jl

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better Modia.jl alternative or higher similarity.

Modia.jl reviews and mentions

Posts with mentions or reviews of Modia.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-02.
  • An open source, educational, low-cost modern analog computer
    4 projects | news.ycombinator.com | 2 Jun 2023
    For circuits a lot of them are represented by differential-algebraic equations (DAEs) and require modeling tools in order to handle the high differential index of the systems. This is the reason why they are typically handled via acausal modeling systems which can do index reduction. For Julia, this is the ModelingToolkit portion of the SciML ecosystem (https://docs.sciml.ai/ModelingToolkit/stable/), and some modeling tools like https://github.com/ModiaSim/Modia.jl and OpenModelica front-ends https://github.com/OpenModelica/OMJulia.jl.
  • ‘Machine Scientists’ Distill the Laws of Physics from Raw Data
    8 projects | news.ycombinator.com | 10 May 2022
    The thing to watch in the space of Simulink/Modelica is https://github.com/SciML/ModelingToolkit.jl . It's an acausal modeling system similar to Modelica (though extended to things like SDEs, PDEs, and nonlinear optimization), and has a standard library (https://github.com/SciML/ModelingToolkitStandardLibrary.jl) similar to the MSL. There's still a lot to do, but it's pretty functional at this point. The two other projects to watch are FunctionalModels.jl (https://github.com/tshort/FunctionalModels.jl, which is the renamed Sims.jl), which is built using ModelingToolkit.jl and puts a more functional interface on it. Then there's Modia.jl (https://github.com/ModiaSim/Modia.jl) which had a complete rewrite not too long ago, and in its new form it's fairly similar to ModelingToolkit.jl and the differences are more in the details. For causal modeling similar to Simulink, there's Causal.jl (https://github.com/zekeriyasari/Causal.jl) which is fairly feature-complete, though I think a lot of people these days are going towards acausal modeling instead so flipping Simulink -> acausal, and in that transition picking up Julia, is what I think is the most likely direction (and given MTK has gotten 40,000 downloads in the last year, I think there's good data backing it up).

    And quick mention to bring it back to the main thread here, the DataDrivenDiffEq symbolic regression API gives back Symbolics.jl/ModelingToolkit.jl objects, meaning that the learned equations can be put directly into the simulation tools or composed with other physical models. We're really trying to marry this process modeling and engineering world with these "newer" AI tools.

  • Julia Receives DARPA Award to Accelerate Electronics Simulation by 1,000x
    7 projects | news.ycombinator.com | 11 Mar 2021
    Maybe of interest in that context:

    https://github.com/ModiaSim/Modia.jl

    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.

  • A note from our sponsor - SaaSHub
    www.saashub.com | 24 Apr 2024
    SaaSHub helps you find the best software and product alternatives Learn more →

Stats

Basic Modia.jl repo stats
4
317
6.7
6 months ago

Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com