ultralisp
Petalisp
ultralisp | Petalisp | |
---|---|---|
16 | 17 | |
220 | 445 | |
0.9% | - | |
8.3 | 8.5 | |
23 days ago | 6 days ago | |
Common Lisp | Common Lisp | |
- | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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ultralisp
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June 2023 Quicklisp dist update now available
If it reduces your pain, you can add it to https://ultralisp.org without any hussle.
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Deploying a web server in SBCL to cloud
- as a dockerized daemon (here is my Dockerfile describing a few microservices: https://github.com/ultralisp/ultralisp/blob/master/Dockerfile)
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Ocicl – An ASDF system distribution and management tool for Common Lisp
Other options are:
- Quicklisp -really slick, libraries in there are curated. (with https support here: https://github.com/rudolfochrist/ql-https and here: https://github.com/snmsts/quicklisp-https.git)
- for project-local dependencies like virtualenv: https://github.com/fukamachi/qlot
- a new, more traditional one: https://www.clpm.dev (CLPM comes as a pre-built binary, supports HTTPS by default, supports installing multiple package versions, supports versioned systems, and more)
For recent Quicklisp upgrades: http://ultralisp.org/
Ocicl is very new (5 days) and tries a new approach, building "on tools from the world of containers".
- Ultralisp – Fast Common Lisp Repository
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Review of 8 Common Lisp IDEs Which One to Choose? [EN Subs]
I'm the author and I'm using Emacs + SLY. Happily switched to Emacs from VIM about 10 years ago when decided to invest all my free time into Common Lisp.
And yes, I have real project experience – a lot of Commmon Lisp libraries at https://github.com/40ants and also I'm developing a hosting for CL library distributions: https://ultralisp.org
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OpenAPI Client Generator
So far openapi-generator is mostly tested on linux/sbcl and it should work for most spec files. It would be great to have some criticism/feedback/improvement ideas. You can download it from Ultralisp via (ql:quickload :openapi-generator)(you may need to update first (ql:update-dist "ultralisp"))
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How to replace Quicklisp and Qlot with CLPM (screencast)
See also Ultralisp, a Quicklisp distribution that builds every 5 minutes: https://ultralisp.org/ where you can publish packages.
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Looking for good common lisp projects on github to read?
There is also a repository behind Ultralisp.org: https://github.com/ultralisp/ultralisp
- Building a Startup on Clojure
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New Lisp-Stat Release
Quicklisp ships releases once a month, so it is very possible it didn't pick the latest release yet.
Your solution is to clone the repository into ~/quicklisp/local-projects/.
Another one would be to use the Ultralisp distribution, that ships every five minutes. https://ultralisp.org/
(ql-dist:install-dist "http://dist.ultralisp.org/"
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?
qlot - A project-local library installer for Common Lisp
awesome-cl - A curated list of awesome Common Lisp frameworks, libraries and other shiny stuff.
ftw - Common Lisp Win32 GUI library
JWM - Cross-platform window management and OS integration library for Java
phel-lang - Phel is a functional programming language that transpiles to PHP. A Lisp dialect inspired by Clojure and Janet.
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.
4ever-clojure - Pure cljs version of 4clojure, meant to run forever!
lish - Lisp Shell
pgloader - Migrate to PostgreSQL in a single command!
StatsBase.jl - Basic statistics for Julia