Oceananigans.jl VS Metal.jl

Compare Oceananigans.jl vs Metal.jl and see what are their differences.

Oceananigans.jl

🌊 Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs (by CliMA)
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Oceananigans.jl Metal.jl
4 1
875 328
1.6% 2.7%
9.5 8.9
5 days ago 2 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.
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.

Oceananigans.jl

Posts with mentions or reviews of Oceananigans.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-27.
  • Julia 1.10 Released
    15 projects | news.ycombinator.com | 27 Dec 2023
    I think it’s also the design philosophy. JuMP and ForwardDiff are great success stories and are packages very light on dependencies. I like those.

    The DiffEq library seems to pull you towards the SciML ecosystem and that might not be agreeable to everyone.

    For instance a known Julia project that simulates diff equations seems to have implemented their own solver

    https://github.com/CliMA/Oceananigans.jl

  • GPU vendor-agnostic fluid dynamics solver in Julia
    11 projects | news.ycombinator.com | 8 May 2023
    I‘m currently playing around with Oceananigans.jl (https://github.com/CliMA/Oceananigans.jl). Do you know how both are similar or different?

    Oceananigans.jl has really intuitive step-by-step examples and a great discussion page on GitHub.

  • Supercharged high-resolution ocean simulation with Jax
    5 projects | news.ycombinator.com | 5 Dec 2021

Metal.jl

Posts with mentions or reviews of Metal.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-27.
  • What Apple hardware do I need for CUDA-based deep learning tasks?
    3 projects | /r/macbook | 27 May 2023
    If you are really committed to running on Apple hardware then take a look at Tensorflow for macOS. Another option is the Julia programming language which has very basic Metal support at a CUDA-like level. FluxML would be the ML framework in Julia. I’m not sure either option will be painless or let you do everything you could do with a Nvidia GPU.

What are some alternatives?

When comparing Oceananigans.jl and Metal.jl you can also consider the following projects:

MATDaemon.jl

Flux.jl - Relax! Flux is the ML library that doesn't make you tensor

FiniteDiff.jl - Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

ClimateMachine.jl - Climate Machine: an Earth System Model that automatically learns from data

MITgcm - M.I.T General Circulation Model master code and documentation repository

CUDA.jl - CUDA programming in Julia.

opendylan - Open Dylan compiler and IDE

TensorFlow.jl - A Julia wrapper for TensorFlow

julia-ml-from-scratch - Machine learning from scratch in Julia

julia - The Julia Programming Language

XLA.jl - "Maybe we have our own magic."

Makie.jl - Interactive data visualizations and plotting in Julia