ParameterizedFunctions.jl VS JuMP.jl

Compare ParameterizedFunctions.jl vs JuMP.jl and see what are their differences.

ParameterizedFunctions.jl

A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications (by SciML)
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ParameterizedFunctions.jl JuMP.jl
1 3
76 2,134
- 0.7%
6.5 9.3
9 days ago 5 days ago
Julia Julia
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ParameterizedFunctions.jl

Posts with mentions or reviews of ParameterizedFunctions.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.

JuMP.jl

Posts with mentions or reviews of JuMP.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-03.
  • Optimization
    2 projects | /r/Julia | 3 Feb 2023
    JuMP.jl is my personal go-to when solving "big" optimization problems in Julia (maybe it's overkill for your application).
  • Multiple dispatch: Common Lisp vs Julia
    4 projects | /r/Julia | 5 Mar 2022
    A 100+ contributor project
  • Julia macros
    5 projects | /r/Julia | 19 Dec 2021
    Macros are very useful if you want to create Domain Specific Languages (DSLs), see https://github.com/jump-dev/JuMP.jl or if you want to transpile a subset of Julia to another language or say GPU code.

What are some alternatives?

When comparing ParameterizedFunctions.jl and JuMP.jl you can also consider the following projects:

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.

MuladdMacro.jl - This package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem

ModelingToolkit.jl - An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

ComponentArrays.jl - Arrays with arbitrarily nested named components.

DifferentialEquations.jl - Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

NumericalAlgorithms.jl - [DEPRECATED] Statistics & Numerical algorithms implemented in Julia.

OMLT - Represent trained machine learning models as Pyomo optimization formulations

ConstructiveGeometry.jl - Algorithms and syntax for building CSG objects within Julia.

LaTeXDatax.jl - Julia plugin for the datax LaTeX package