handlebars-helpers
numcl
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handlebars-helpers | numcl | |
---|---|---|
6 | 9 | |
2,191 | 625 | |
0.7% | 0.3% | |
0.0 | 0.0 | |
3 months ago | 6 months ago | |
JavaScript | Common Lisp | |
MIT License | 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.
handlebars-helpers
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@lrvick bought the expired domain name for the 'foreach' NPM package maintainer. He now controls the package which 2.2m packages depend on.
https://www.npmjs.com/package/handlebars-helpers, if anyone is curious.
- Node.js packages don't deserve your trust
- NPM package ‘ua-parser-JS’ with more than 7M weekly download is compromised
- BREAKING!! NPM package ‘ua-parser-js’ with more than 7M weekly download is compromised
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wait what!?
The biggest project that still depends on it is handlebars-helpers, which accounts for about half of the daily downloads. The other half are probably from installs of old versions of other libraries.
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SBCL: New in Version 2.1.0
I am actually using handlebars along with helpers https://github.com/helpers/handlebars-helpers to automatically generate sql, golang, json and jsx. cl-who is only for markup.
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:
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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].
- SBCL: New in Version 2.1.0
What are some alternatives?
deno-puppeteer - A port of puppeteer running on Deno
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
koa-hbs - Handlebars templates for Koa.js
april - The APL programming language (a subset thereof) compiling to Common Lisp.
regex - An implementation of regular expressions for Rust. This implementation uses finite automata and guarantees linear time matching on all inputs.
lisp-matrix - A matrix package for common lisp building on work by Mark Hoemmen, Evan Monroig, Tamas Papp and Rif.
deno - A modern runtime for JavaScript and TypeScript.
Petalisp - Elegant High Performance Computing
NUnit - NUnit Framework
cl-containers - Containers Library for Common Lisp
lodash - A modern JavaScript utility library delivering modularity, performance, & extras.
magicl - Matrix Algebra proGrams In Common Lisp.