Lispsyntax.jl: A Clojure-like Lisp syntax for julia

• LispSyntax.jl

  7 222 0.0 Julia

  lisp-like syntax in julia

• jlisp

  1 6 0.0 Julia

  Discontinued An even lispier dialect of Julia [WIP]

Great example of building something fun not because we should but because we can :)

My take on "Lisp in Julia" using deprecated-but-still-parseable syntax instead of a string macro: https://github.com/christopher-dG/jlisp

I should probably put some examples in the readme.

• WorkOS

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• Fennel

  90 2,281 9.1 Fennel

  Lua Lisp Language

My current favourite of these is this Lua version: https://github.com/bakpakin/Fennel

• femtolisp

  10 1,550 0.0 Scheme

  a lightweight, robust, scheme-like lisp implementation

A fun Julia easter egg I recently discovered.

Running 'julia --lisp' launches a femtolisp (https://github.com/JeffBezanson/femtolisp) interpreter.

• ModelingToolkit.jl

  15 1,333 9.8 Julia

  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

  

What you see most is domain-specific languages implemented through macro's. For instance this package, https://jump.dev/JuMP.jl/dev/examples/basic/ or https://github.com/SciML/ModelingToolkit.jl

• julia

  350 44,469 10.0 Julia

  The Julia Programming Language

  

The Julia parser is actually written in femtolisp: https://docs.julialang.org/en/v1/devdocs/eval/#dev-parsing

https://github.com/JuliaLang/julia/blob/master/src/julia-par...

• Carp

  84 5,393 0.7 Haskell

  A statically typed lisp, without a GC, for real-time applications.

  

This is the closest I've seen: https://github.com/carp-lang/Carp

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• awesome-lisp-companies

  51 575 6.8

  Awesome Lisp Companies

> magic

I'd say yes, this, though you don't actually manipulate a proper AST, but a list (tree) of program instructions. An AST would be given by a "code walker". Plus, the syntax is small and coherent, the language is stable. With most implementations of Common Lisp, you code against a live image, so you get instant feedback: compile a function with a keybinding, see compiler warnings or errors instantly, try it right away in the REPL (no process had to restart), get an interactive debugger on an error, fix it and resume the execution from a chosen frame (no stack unbinding), inspect objects… when ready, build a binary, and deploy. Today, SBCL's compile-time type-inference warnings are very helpful.

Of course, some companies use CL in a million-sized codebase (if that helps as a counter example): Google (ITA software), SISCOG (underground and rail transport optimisation), ACL2 (industry-strength theorem prover)…

https://lisp-lang.org/success/

https://github.com/azzamsa/awesome-lisp-companies (disclaimer: these resources are not complete)

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