Catalyst.jl

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software. (by SciML)

Catalyst.jl Alternatives

Similar projects and alternatives to Catalyst.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 Catalyst.jl alternative or higher similarity.

Catalyst.jl reviews and mentions

Posts with mentions or reviews of Catalyst.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-19.
  • Julia macros
    5 projects | /r/Julia | 19 Dec 2021
  • Should I switch over completely to Julia from Python for numerical analysis/computing?
    5 projects | /r/Julia | 8 Jul 2021
    ModelingToolkit.jl adds a different spin on this by noting what makes a good modeling system isn't top down but a system that allows for bottom up contributions. ModelingToolkit is built on Symbolics.jl which uses OSCAR.jl etc., so every time the symbolics community gets better ModelingToolkit.jl gets better. It connects to the whole SciML ecosystem, so any improvement to any of the SciML interface packages is directly an improvement to ModelingToolkit.jl. ModelingToolkit is made to be a set of composable compiler abstractions called transformations, so anyone can add new packages that do new transformations that improve the ecosystem. One that I really like is MomentClosure.jl which symbolically transforms stochastic ModelingToolkit models (ReactionSystem) to approximate symbolic ODESystem models of the moments. And there's domain-specific langauges like Catalyst.jl being built on the interface to give more ways to build models, which is spawning the biocommunity to make model importers into the symbolic forms, when then feeds more ODE models into the same compiler. JuliaSim is then building on this ecosystem, adding cloud infrastructure that is special-purpose made for doing parallel computations of these models, automatic symbolic model discovery from data, automatic generation of approximate models with machine learning, and tying the Julia Computing compiler team into the web that is building this ecosystem.

Stats

Basic Catalyst.jl repo stats
2
419
9.6
12 days ago

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