Oceananigans.jl
ClimateMachine.jl
Our great sponsors
Oceananigans.jl | ClimateMachine.jl | |
---|---|---|
4 | 1 | |
875 | 433 | |
1.6% | - | |
9.5 | 0.0 | |
5 days ago | about 1 year ago | |
Julia | Julia | |
MIT License | GNU General Public License v3.0 or later |
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
-
Julia 1.10 Released
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
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
ClimateMachine.jl
-
Is Julia suitable for computational physics?
There are some big projects using all of this. The CLIMA climate model is a good example, and you can find 20 other fluid dynamics simulators. There's differentiable N-body simulators, rigid body and robotics simulators, DFT libraries, etc.
What are some alternatives?
MATDaemon.jl
BlockBandedMatrices.jl - A Julia package for representing block-banded matrices and banded-block-banded matrices
FiniteDiff.jl - Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
SciMLBenchmarks.jl - Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
MITgcm - M.I.T General Circulation Model master code and documentation repository
Metal.jl - Metal programming in Julia
ParallelKMeans.jl - Parallel & lightning fast implementation of available classic and contemporary variants of the KMeans clustering algorithm
opendylan - Open Dylan compiler and IDE
Makie.jl - Interactive data visualizations and plotting in Julia
julia-ml-from-scratch - Machine learning from scratch in Julia
XLA.jl - "Maybe we have our own magic."