auto-07p VS BifurcationKit.jl

Compare auto-07p vs BifurcationKit.jl and see what are their differences.

auto-07p

AUTO is a publicly available software for continuation and bifurcation problems in ordinary differential equations originally written in 1980 and widely used in the dynamical systems community. (by auto-07p)
dynamical-systems Ode ordinary-differential-equations
Source Code
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BifurcationKit.jl

A Julia package to perform Bifurcation Analysis (by bifurcationkit)
Continuation pseudo-arclength-continuation periodic-orbits floquet GPU bifurcation-diagram deflation Pde hopf-point newton-krylov codim2 bifurcation
Source Code
bifurcationkit.github.io
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auto-07p BifurcationKit.jl
2 1
113 285
1.8% 1.1%
7.8 9.4
26 days ago 20 days ago
Fortran Julia
- MIT
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auto-07p

Posts with mentions or reviews of auto-07p. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-11.

BifurcationKit.jl

Posts with mentions or reviews of BifurcationKit.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-11.

What are some alternatives?

When comparing auto-07p and BifurcationKit.jl you can also consider the following projects:

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)

SciMLTutorials.jl - Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

NeuralPDE.jl - Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

ModelingToolkitStandardLibrary.jl - A standard library of components to model the world and beyond

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

DiffEqBase.jl - The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

diffeqpy - Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization

auto-07p vs OrdinaryDiffEq.jl auto-07p vs SciMLTutorials.jl auto-07p vs NeuralPDE.jl auto-07p vs ModelingToolkitStandardLibrary.jl auto-07p vs ModelingToolkit.jl auto-07p vs DiffEqBase.jl auto-07p vs diffeqpy