awesome-cl
magicl
awesome-cl | magicl | |
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64 | 14 | |
2,458 | 226 | |
- | 0.4% | |
8.7 | 5.4 | |
10 days ago | 6 months ago | |
Makefile | Common Lisp | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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.
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.
magicl
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A tutorial quantum interpreter in 150 lines of Lisp
(Link didn't work for me)
https://github.com/quil-lang/magicl/blob/master/src/high-lev...
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Why Lisp?
use MAGICL. [1] It is optionally and transparently accelerated by BLAS/LAPACK.
[1] https://github.com/quil-lang/magicl/blob/master/doc/high-lev...
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How fast can you multiply matrices using only common lisp?
Maybe have a look at how magicl does this?
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A software engineer's circuitous journey to calculate eigenvalues
This is essentially the first option, which is already supported by MAGICL by loading MAGICL/EXT-LAPACK [1].
[1] https://github.com/quil-lang/magicl#extensions
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Uncle Stats Wants You
I think what the magicl team has done is brilliant - allowing multiple implementations is awesome.
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Good Lisp libraries for math
Second up is magicl, especially useful if performance is a concern. This might not be as extensive as numcl, but it's been battle tested in the industry over the last decade or so. Because this uses generic functions, so long as you are using not-very-small arrays, performance should not be a concern for you. And even if you are, you could write your own functions that use the low-level functions that magicl's backends define. Otherwise performance can be at par with numpy.
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Why is python numpy *so* much faster than lisp in this example?
This Dev How-To describes (I hope in enough detail) how to add these specialized routines to MAGICL.
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CL-AUTOWRAP generated (C)BLAS wrapper in QUICKLISP
I agree... and I do don't want be the person who has not rallied. I just took a look at guicho's issue from 2019. And here, you yourself have admitted that the high level interface is less than ideal and needs more work. However, the very point that magicl is an industry standard could imply that potentially radical backward-incompatible changes can be hard. But, honestly, I want to discuss this, time permitting!
- Fast and Elegant Clojure: Idiomatic Clojure without sacrificing performance
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Anybody using Common Lisp or clojure for data science
Common Lisp is a great language to build new tools for data science, but currently has pretty awful library support existing data science workflows. Common Lisp is sorely lacking in high-quality statistics, plotting, and sparse arrays. There’s been a long work-in-progress library to bring flexible and high-performance linear algebra to Lisp, but it needs more contributors.
What are some alternatives?
cl-str - Modern, simple and consistent Common Lisp string manipulation library.
lisp-matrix - A matrix package for common lisp building on work by Mark Hoemmen, Evan Monroig, Tamas Papp and Rif.
awesome-lisp-companies - Awesome Lisp Companies
py4cl - Call python from Common Lisp
coalton - Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
criterium - Benchmarking library for clojure
Petalisp - Elegant High Performance Computing
ocaml - The core OCaml system: compilers, runtime system, base libraries
hash-array-mapped-trie - A hash array mapped trie implementation in c.
clog - CLOG - The Common Lisp Omnificent GUI
april - The APL programming language (a subset thereof) compiling to Common Lisp.