DifferentialEquations.jl Alternatives

DifferentialEquations.jl reviews and mentions

• Modelica
  11 projects | news.ycombinator.com | 16 Dec 2024

  Another up-and-coming solution is Julia's simulation ecosystem [1]. It is powered by the commercial organization behind the Julia programming language, which has received DARPA funding [2] to build out these tools. This ecosystem unifies researchers in numerical methods [3], scalable compute, and domain experts in modeling engineering systems (electrical, mechanical, etc.) I believe this is where simulation is headed.

  [1] https://juliahub.com/products/juliasim

  [2] https://news.ycombinator.com/item?id=26425659

  [3] https://docs.sciml.ai/DiffEqDocs/stable/

• Startups are building with the Julia Programming Language
  3 projects | news.ycombinator.com | 13 Dec 2022

  This lists some of its unique abilities:

  https://docs.sciml.ai/DiffEqDocs/stable/

  The routines are sufficiently generic, with regard to Julia’s type system, to allow the solvers to automatically compose with other packages and to seamlessly use types other than Numbers. For example, instead of handling just functions Number→Number, you can define your ODE in terms of quantities with physical dimensions, uncertainties, quaternions, etc., and it will just work (for example, propagating uncertainties correctly to the solution¹). Recent developments involve research into the automated selection of solution routines based on the properties of the ODE, something that seems really next-level to me.

  [1] https://lwn.net/Articles/834571/

• From Common Lisp to Julia
  11 projects | news.ycombinator.com | 6 Sep 2022

  https://github.com/SciML/DifferentialEquations.jl/issues/786. As you could see from the tweet, it's now at 0.1 seconds. That has been within one year.

  Also, if you take a look at a tutorial, say the tutorial video from 2018,

• When is julia getting proper precompilation?
  3 projects | /r/Julia | 10 Dec 2021

  It's not faith, and it's not all from Julia itself. https://github.com/SciML/DifferentialEquations.jl/issues/785 should reduce compile times of what OP mentioned for example.

• Julia 1.7 has been released
  15 projects | news.ycombinator.com | 30 Nov 2021

  Let's even put raw numbers to it. DifferentialEquations.jl usage has seen compile times drop from 22 seconds to 3 seconds over the last few months.

  https://github.com/SciML/DifferentialEquations.jl/issues/786

• Suggest me a Good library for scientific computing in Julia with good support for multi-core CPUs and GPUs.
  3 projects | /r/Julia | 18 Sep 2021
• DifferentialEquations compilation issue in Julia 1.6
  1 project | /r/Julia | 27 Mar 2021

  https://github.com/SciML/DifferentialEquations.jl/issues/737 double posted, with the answer here. Please don't do that.

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