DiffEqBase.jl VS JFVM.jl

Compare DiffEqBase.jl vs JFVM.jl and see what are their differences.

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DiffEqBase.jl JFVM.jl
1 1
297 42
1.0% -
9.3 0.0
14 days ago about 1 year 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.

DiffEqBase.jl

Posts with mentions or reviews of DiffEqBase.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-29.

JFVM.jl

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

What are some alternatives?

When comparing DiffEqBase.jl and JFVM.jl you can also consider the following projects:

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.

MethodOfLines.jl - Automatic Finite Difference PDE solving with Julia SciML

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

DiffEqOperators.jl - Linear operators for discretizations of differential equations and scientific machine learning (SciML)

ComponentArrays.jl - Arrays with arbitrarily nested named components.

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

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.

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

18S096SciML - 18.S096 - Applications of Scientific Machine Learning

SciMLBenchmarks.jl - Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R