numcl
awesome-cl
numcl | awesome-cl | |
---|---|---|
9 | 65 | |
627 | 2,469 | |
0.3% | - | |
0.0 | 8.7 | |
7 months ago | 3 days ago | |
Common Lisp | Makefile | |
GNU General Public License v3.0 or later | 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.
numcl
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How fast can you multiply matrices using only common lisp?
Is it me or numcl is faster than magicl? Matrix multiplication on magicl with pure lisp backend is
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Rewrite Your Scripts In LISP - with Roswell
Interesting, I will, thanks! I am aware of numcl for CL, but I don't think it is "there" yet :).
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Good Lisp libraries for math
The first that comes to mind is numcl. This works if (i) performance is not seriously a concern, (ii) you are not annoyed by julia-like JIT/JAOT compilation delays, (iii) copy-based slicing won't be a performance issue for you. To be fair, limitation (i) might be overcome by writing a better (simd-based) backend for numcl. numcl is fast, it compiles to fairly good code, but simd can boost the performance by another 4-8 times or so.
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Efficiently/easily sample from a list - any existing alternative?
am I missing something that already exists (numcl / Alexandria / core language, etc?)
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Lisp as an Alternative to Java (2000)
>Either implement numpy equivalent on your own or half of your code is data massaging data between libraries
I haven't tested this but here you go:
https://github.com/numcl/numcl
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Machine Learning in Lisp
Personally, I've been relying on the stream-based method using py4cl/2, mostly because I did not - and perhaps do not - have the knowledge and time to dig into the CFFI based method. The limitation is that this would get you less than 10000 python interactions per second. That is sufficient if you will be running a long running python task - and I have successfully run trivial ML programs using it, but any intensive array processing gets in the way. For this later task, there are a few emerging libraries like numcl and array-operations without SIMD (yet), and numericals using SIMD. For reasons mentioned on the readme, I recently cooked up dense-arrays. This has interchangeable backends and can also use cl-cuda. But barring that, the developer overhead of actually setting up native-CFFI ecosystem is still too high, and I'm back to py4cl/2 for tasks beyond array processing.
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cbaggers/rtg-math - a selection of the math routines most commonly needed for making realtime graphics in lisp (2, 3 and 4 component vectors, 3x3 and 4x4 matrices, quaternions, spherical and polar coordinates). [2019]
numcl - Numpy clone in Common Lisp. [LGPL3][9].
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SBCL: New in Version 2.1.0
[3] https://github.com/numcl/numcl
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.
What are some alternatives?
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
cl-str - Modern, simple and consistent Common Lisp string manipulation library.
april - The APL programming language (a subset thereof) compiling to Common Lisp.
awesome-lisp-companies - Awesome Lisp Companies
lisp-matrix - A matrix package for common lisp building on work by Mark Hoemmen, Evan Monroig, Tamas Papp and Rif.
coalton - Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
Petalisp - Elegant High Performance Computing
cl-containers - Containers Library for Common Lisp
ocaml - The core OCaml system: compilers, runtime system, base libraries
magicl - Matrix Algebra proGrams In Common Lisp.
clog - CLOG - The Common Lisp Omnificent GUI