numcl
cl-ana
numcl | cl-ana | |
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9 | 5 | |
627 | 197 | |
0.3% | - | |
0.0 | 0.0 | |
7 months ago | 18 days ago | |
Common Lisp | Common Lisp | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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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
cl-ana
- cl-ana: Free (GPL) Common Lisp data analysis library with emphasis on modularity and conceptual clarity.
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What would be the best language to create a package producing dataviz?
I understand what you mean; but despite CL appearing as a very similar to EL, the trouble would be probably significant due to missing libraries and semantic differences between CL and EL, in case of any significantly sophisticated plotting library, such as cl-ana for example. It is probably easier to port Emacs to CL, than that thing to Emacs :).
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Running Lisp in Production – Grammarly Engineering Blog
There are some other active Lisp efforts in the data science space, such as cl-ana.[1]
[1] https://github.com/ghollisjr/cl-ana
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A bit of circle-jerking and usual questions about which Lisp to choose
If you like spreadsheets, you may appreciate the Cells library. I haven't used it myself yet, however it is billed as "Spreadsheet-like expressiveness for CLOS, the Common Lisp Object System." I believe cl-ana also implements some spreadsheet-like functionality. This article demonstrates some trivial usage of Cells.
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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]
cl-ana - Common Lisp data analysis library with emphasis on modularity and conceptual clarity. It aims to be a general purpose framework for analyzing small and large scale datasets, including binned data analysis and visualization. [GNU GPL3][2].
What are some alternatives?
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
cepl - Code Evaluate Play Loop
april - The APL programming language (a subset thereof) compiling to Common Lisp.
tls1.3 - A Common Lisp implementation of TLS1.3
lisp-matrix - A matrix package for common lisp building on work by Mark Hoemmen, Evan Monroig, Tamas Papp and Rif.
Petalisp - Elegant High Performance Computing
array-operations - Common Lisp library that facilitates working with Common Lisp arrays.
cl-containers - Containers Library for Common Lisp
physical-quantities - A common lisp library that provides a numeric type with optional unit and/or uncertainty for computations with automatic error propagation.
magicl - Matrix Algebra proGrams In Common Lisp.
polisher - Infix notation to S-expression (Polish notation) translator for Common Lisp