awesome-cl
Petalisp
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awesome-cl | Petalisp | |
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64 | 17 | |
2,450 | 424 | |
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8.7 | 8.5 | |
7 days ago | about 2 months ago | |
Makefile | Common Lisp | |
GNU General Public License v3.0 or later | GNU Affero General Public License v3.0 |
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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.
awesome-cl
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3 years of fulltime Rust game development, and why we're leaving Rust behind
I know you're not asking for recommendations, but Lisp, particularly SBCL, really seems to check all your boxes. I say this as someone who generally reaches for Scheme when it comes to Lisps too.
There are a few game engines[0] for CL, but most of them seem to be catered specifically to 2D games.
[0] https://github.com/CodyReichert/awesome-cl?tab=readme-ov-fil...
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KamilaLisp – A functional, flexible and concise Lisp
Hello, a single counter-example I hope https://lispcookbook.github.io/cl-cookbook/editor-support.ht...
(see more from https://github.com/CodyReichert/awesome-cl?tab=readme-ov-fil...
https://cl-community-spec.github.io/pages/index.html
and some more)
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Why Is Common Lisp Not the Most Popular Programming Language?
Everyone, if you don't have a clue on how's Common Lisp going these days, I suggest:
https://lisp-journey.gitlab.io/blog/these-years-in-common-li... (https://www.reddit.com/r/lisp/comments/107oejk/these_years_i...)
A curated list of libraries: https://github.com/CodyReichert/awesome-cl
Some companies, the ones we hear about: https://github.com/azzamsa/awesome-lisp-companies/
and oh, some more editors besides Emacs or Vim: https://lispcookbook.github.io/cl-cookbook/editor-support.ht... (Atom/Pulsar support is good, VSCode support less so, Jetbrains one getting good, Lem is a modern Emacsy built in CL, Jupyter notebooks, cl-repl for a terminal REPL, etc)
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Common Lisp: An Interactive Approach (1992) [pdf]
check out the editor section, there's more than Emacs these days: https://lispcookbook.github.io/cl-cookbook/editor-support.ht...
- https://github.com/CodyReichert/awesome-cl for libraries
- https://www.classcentral.com/report/best-lisp-courses/#ancho...
- a recent overview of the ecosystem: https://lisp-journey.gitlab.io/blog/these-years-in-common-li... (shameless plug, on HN: https://news.ycombinator.com/item?id=34321090)
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Spinneret: A modern Common Lisp HTML generator
More HTML generators for CL: https://github.com/CodyReichert/awesome-cl#html-generators-a... there are lispy ones (Spinneret), Django-like ones (Djula, I like it, easy to use and extend), HTML-based allowing for inline Lisp code (Ten), JSX-like ones (lsx, markup), and more.
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Common Lisp JSON parser?
https://github.com/CodyReichert/awesome-cl is usually a good place to find recommendations. Jzon is pretty good.
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All of Mark Watson's Lisp Books
> obstacles add up
I actually agree. It wasn't smooth for me to ship my first CL app. It's all better now (more tools, more documentation, more blog posts from several people, more SO questions and answers!).
> performant
SBCL is in the same ballpack of C, Rust or Java in many benchmarks.
In this article series, the author writes the same program in CL, Rust and Java. In fact, he copy-pastes a PG snippet from 30 years ago. This snippet beats Rust and Java in LOC and speed. But, yeah, he wasn't writing super efficient Rust code, so after many discussions, pull requests and sweating, the Rust code became the most performant. https://renato.athaydes.com/posts/revisiting-prechelt-paper-... It didn't take work to make the CL code performant, more so for the Rust one ;)
a benchmark after sb-simd vectorization: https://preview.redd.it/vn5juu36v2681.png?width=715&format=p... (https://www.reddit.com/r/Common_Lisp/comments/riedio/quite_a...)
> good tools for networking, for writing concurrent or asynchronous code, for graphics,
I refer the reader to https://github.com/CodyReichert/awesome-cl but yes, CL won't have the best libraries in some scenarii (GUI? Tk libs are good, we have Gtk4, a Qt5 library used in production© by a big player but difficult to install etc)
> it doesn't give you a good package manager or means of distributing code
Quicklisp is neat, with limitations, that can be addressed with Qlot, ql-https, or CLPM or the newest ocicl.
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How to Understand and Use Common Lisp
It's a good book!
Modern companions would be:
- the Cookbook: https://lispcookbook.github.io/cl-cookbook/ (check out the editors section: Atom/Pulsar, VSCode, Sublime, Jetbrains, Lem...)
- https://github.com/CodyReichert/awesome-cl to find libraries
Also:
- https://stevelosh.com/blog/2018/08/a-road-to-common-lisp/
- https://news.ycombinator.com/item?id=34321090 2022 in review
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Why Lisp?
> static strong typing
Alright, here is it: https://github.com/coalton-lang/coalton/
> small efficient native binaries
The numbers are: with SBCL's core-compression, a web app with dozens on dependencies will weight ±30 to 40MB. This includes the compiler, the debugger, etc. Without core compression, we reach ±150MB.
> The actor runtime?
the actor library: https://github.com/mdbergmann/cl-gserver
> couldn't find a way to make money with it. I suspect many other programmers are in my boat.
Alright. Some do, that's life. Yes, some companies go with CL even in 2023 (https://lisp-journey.gitlab.io/blog/lisp-interview-kina/, they released https://github.com/KinaKnowledge/juno-lang lately; Feetr (finance): https://twitter.com/feetr_io/status/1587182923911991303)
https://github.com/azzamsa/awesome-lisp-companies/
> Give us an HTTP (1.x & 2.0) and WebSockets libraries
How so? We have those libraries. HTTP/2: https://github.com/zellerin/http2/
https://github.com/CodyReichert/awesome-cl
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Peter Norvig – Paradigms of AI Programming Case Studies in Common Lisp
https://leanpub.com/lovinglisp -- this one is great, and the first thing I recommend
https://lispcookbook.github.io/cl-cookbook/ -- also great and up to date
https://awesome-cl.com/ -- for anything else.
Petalisp
- Petalisp: Elegant High Performance Computing
- Is there a tutorial for automatic differentiation with petalisp?
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Is there a language with lisp syntax but C semantics?
While not "as fast as C" (C is not the absolute pinnacle of performance), Common Lisp is incredibly fast compared to the majority of programming languages around today. There is even a huge amount of ongoing work being done to make it faster still. We are seeing many interesting projects that make better use of the hardware in your computer (e.g. https://github.com/marcoheisig/Petalisp).
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Common Lisp Implementations in 2023
i think lisp-stat library is actually being developed. however one numerical cl library that doesnt get enough mention and is being constantly developed is petalisp for HPC
https://github.com/marcoheisig/Petalisp
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numericals - Performance of NumPy with the goodness of Common Lisp
However, if you have a lisp library that puts those semantics to use, then you could get it to employ magicl/ext-blas and cl-bmas to speed it up. (petalisp looks relevant, but I lack the background to compare it with APL.)
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New Lisp-Stat Release
> his means cl pagckages can be "done".
this is true if there is nothing functional that can be added to a package. however its very much not true for ml frameworks right now. new things are being added all the time in the field. however even in the package i linked you have the necessary ingredients for any deep learning model: cuda and back propagation. the other person mentioned convolution which i think is pretty trivial to implement but still, if you expect everything for you to be ready made then you should probably stick to tf and pytorch. if you want to explore the cutting edge and push the boundaries then i think common lisp is a good tool. as an aside it might also be interesting to note that a common lisp package (Petalisp) is being used for high performance computing by a german university
https://github.com/marcoheisig/Petalisp
- The Julia language has a number of correctness flaws
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When a young programmer who has been using C for several years is convinced that C is the best possible programming language and that people who don't prefer it just haven't use it enough, what is the best argument for Lisp vs C, given that they're already convinced in favor of C?
One trick is that Common Lisp can generate and compile code at runtime, whereas static languages typically do not have a compiler available at runtime. This lets you make your own lazy person's JIT/staged compiler, which is useful if some part of the problem is not known at compile-time. Such an approach has been used at least for array munging, type munging and regular expression munging.
What are some alternatives?
cl-str - Modern, simple and consistent Common Lisp string manipulation library.
JWM - Cross-platform window management and OS integration library for Java
awesome-lisp-companies - Awesome Lisp Companies
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
coalton - Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
magicl - Matrix Algebra proGrams In Common Lisp.
ocaml - The core OCaml system: compilers, runtime system, base libraries
lish - Lisp Shell
clog - CLOG - The Common Lisp Omnificent GUI
StatsBase.jl - Basic statistics for Julia
cl-cookbook - The Common Lisp Cookbook
Optimization.jl - Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.