vellum
array-operations
| vellum | array-operations | |
|---|---|---|
| 7 | 2 | |
| 71 | 40 | |
| - | - | |
| 8.0 | 2.2 | |
| about 2 months ago | almost 2 years ago | |
| Common Lisp | Common Lisp | |
| BSD 2-clause "Simplified" License | GNU General Public License v3.0 or later |
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vellum
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Beaver: a common lisp library for data analysis and manipulation
That's cool. I want to integrate parquet files into Vellum library https://github.com/sirherrbatka/vellum
- Any projects want/need help?
- vellum 1.0.0: Data Frames for Common Lisp
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Anybody using Common Lisp or clojure for data science
Yeah, I use CL for data science, despite lack of suitable tools. I even ended up writing my own: https://github.com/sirherrbatka/clusters https://github.com/sirherrbatka/vellum https://github.com/sirherrbatka/vellum-plot https://github.com/sirherrbatka/statistical-learning
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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]
Vellum - Data Frames for Common Lisp. BSD_2Clause.
- Vellum - Data Frames for Common Lisp
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SBCL: New in Version 2.1.0
https://github.com/sirherrbatka/vellum is maturing and already usable as a data frame library.
array-operations
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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]
array-operations - a collection of functions and macros for manipulating Common Lisp arrays and performing numerical calculations with them. [MIT][200].
What are some alternatives?
cepl - Code Evaluate Play Loop
dense-arrays - Numpy like array object for common lisp
rtg-math - common lisp library providing common math functions used in games
polisher - Infix notation to S-expression (Polish notation) translator for Common Lisp
lisp-matrix - A matrix package for common lisp building on work by Mark Hoemmen, Evan Monroig, Tamas Papp and Rif.
physical-quantities - A common lisp library that provides a numeric type with optional unit and/or uncertainty for computations with automatic error propagation.
numcl-benchmarks - benchmarks against numpy, julia
cl-geometry - Common Lisp package for simple two dimensional computational geometry.
numcl - Numpy clone in Common Lisp
magicl - Matrix Algebra proGrams In Common Lisp.
common-lisp-stat - Common Lisp Statistics -- based on LispStat (Tierney) but updated for Common Lisp and incorporating lessons from R (http://www.r-project.org/). See the google group for lisp stat / common lisp statistics for a mailing list.