LispSyntax.jl
WaterLily.jl
LispSyntax.jl | WaterLily.jl | |
---|---|---|
7 | 1 | |
222 | 532 | |
- | - | |
0.0 | 9.3 | |
2 months ago | 11 days ago | |
Julia | Julia | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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LispSyntax.jl
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GPU vendor-agnostic fluid dynamics solver in Julia
It turns out that Julia is ~a lisp, just with a weird syntax. If you look at the metaprogramming facilities, all expressions are first turned into s-exprs while parsing. There is no problem having a LISP syntax for Julia, and in fact this has been implemented! (https://github.com/swadey/LispSyntax.jl)
https://docs.julialang.org/en/v1/manual/metaprogramming/
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From Common Lisp to Julia
The REPL had a patch, https://github.com/swadey/LispSyntax.jl/issues/36, but for some reason it didn't get released 3 years ago when the patch was actually created.
- Lispsyntax.jl: A Clojure-like Lisp syntax for julia
WaterLily.jl
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GPU vendor-agnostic fluid dynamics solver in Julia
Their Github page has it: https://github.com/weymouth/WaterLily.jl
What are some alternatives?
femtolisp - a lightweight, robust, scheme-like lisp implementation
oneAPI.jl - Julia support for the oneAPI programming toolkit.
opendylan - Open Dylan compiler and IDE
awesome-lisp-companies - Awesome Lisp Companies
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
julia - The Julia Programming Language
doc - Flexible documentation generator for Common Lisp projects.
cl-lsp - An implementation of the Language Server Protocol for Common Lisp
www.julialang.org - Julia Project website
Carp - A statically typed lisp, without a GC, for real-time applications.
Fennel - Lua Lisp Language
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.