LaTeXDatax.jl VS Latexify.jl

Compare LaTeXDatax.jl vs Latexify.jl and see what are their differences.

LaTeXDatax.jl

Julia plugin for the datax LaTeX package (by Datax-package)

Latexify.jl

Convert julia objects to LaTeX equations, arrays or other environments. (by korsbo)
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LaTeXDatax.jl Latexify.jl
1 2
26 531
- -
3.6 6.9
9 months ago 9 days ago
Julia Julia
MIT License MIT License
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.
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LaTeXDatax.jl

Posts with mentions or reviews of LaTeXDatax.jl. We have used some of these posts to build our list of alternatives and similar projects.

Latexify.jl

Posts with mentions or reviews of Latexify.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-24.
  • Converting Symbolics.jl Objects to SymPy.jl Objects
    4 projects | /r/Julia | 24 Oct 2022
    My current solution to this is to use Latexify.jl, great module name btw, to convert the objects to latex, then perform some dodgy string manipulation on the latex, specifically turning it into a form readable by the Python module latex2sympy2 which has a function latex2sympy which can properly convert it. I've written a function to_sympy() which properly converts the Num and Matrix{NUM} types:
  • Don't be scared.. Math and Computing are friends..
    1 project | /r/ProgrammerHumor | 3 Feb 2022
    That's funny, I just implemented that conversion for Latexify.jl: https://github.com/korsbo/Latexify.jl/pull/205

What are some alternatives?

When comparing LaTeXDatax.jl and Latexify.jl you can also consider the following projects:

DataFrames.jl - In-memory tabular data in Julia

OrdinaryDiffEq.jl - High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

JuMP.jl - Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

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

Pluto.jl - 🎈 Simple reactive notebooks for Julia

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.

Symbolics.jl - Symbolic programming for the next generation of numerical software