polymorphic-functions
A function type to dispatch on types instead of classes with partial support for dispatching on optional and keyword argument types. (by digikar99)
fast-generic-functions
Seal your generic functions for an extra boost in performance. (by marcoheisig)
Our great sponsors
polymorphic-functions | fast-generic-functions | |
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6 | 2 | |
50 | 86 | |
- | - | |
5.6 | 0.0 | |
27 days ago | over 3 years ago | |
Common Lisp | Common Lisp | |
- | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
polymorphic-functions
Posts with mentions or reviews of polymorphic-functions.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-24.
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Adding new types and operators to Lisp
If performance is a concern, then you would want to stick to CLHS provided simple-array and create appropriate types using deftype, and then dispatch on the types either by yourself, or by using something like polymorphic-functions and polymorph.maths.
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defgeneric and &rest
If you want to dispatch on vectors, you can try out polymorphic-functions which was made for the express purpose of dispatching on specialized arrays aka types rather than classes.
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numericals - Performance of NumPy with the goodness of Common Lisp
Since the past year or two, I have been working on numericals that aims to provide the speed of NumPy with the goodness of Common Lisp. In particular, this includes the use of dynamic variables, restarts, and compiler-notes wherever appropriate. It uses CLTL2 API (and may be slightly more) under the hood to provide AOT dispatch, but nothing stops you from combining it with JAOT dispatch provided by numcl/specialized-function. This also spawned a number of projects most notably polymorphic-functions to dispatch on types instead of classes and extensible-compound-types that allows one to define user defined compound types (beyond just the type-aliases enabled by deftype. Fortunately enough, interoperation between magicl, numcl and numericals/dense-numericals actually looks plausible!
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Common Lisp polymorphic stories.
Before reading this, please go and check out https://github.com/digikar99/polymorphic-functions which this project is fully based on. It's great.
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polymorphic-functions - Possibly AOT dispatch on argument types with support for optional and keyword argument dispatch
What I am calling parametric polymorphism is this test:
fast-generic-functions
Posts with mentions or reviews of fast-generic-functions.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-04.
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If Lisp is so great
* CLOS being bolted on instead of truly integrated in the language; would need a JIT and something like https://github.com/marcoheisig/fast-generic-functions on system classes to go fast enough, Julia kinda does this (but it hurts my eyes)
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Common Lisp polymorphic stories.
About static typing and generic functions, are there limitations to fast-generic-functions built over sealable-metaobjects too? I felt that reasonable, albeit it takes away the dynamic nature of the objects after sealing.
What are some alternatives?
When comparing polymorphic-functions and fast-generic-functions you can also consider the following projects:
lisp-interface-library - LIL: abstract interfaces and supporting concrete data-structures in Common Lisp
ctype - CL type system implementation
cl-parametric-types - (BETA) C++-style templates for Common Lisp
numericals - CFFI enabled SIMD powered simple-math numerical operations on arrays for Common Lisp [still experimental]
cffi - The Common Foreign Function Interface
generic-cl - Generic function interface to standard Common Lisp functions
coalton - Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
dense-arrays - Numpy like array object for common lisp
ccl - Clozure Common Lisp
polymorphic-functions vs lisp-interface-library
fast-generic-functions vs ctype
polymorphic-functions vs cl-parametric-types
fast-generic-functions vs lisp-interface-library
polymorphic-functions vs ctype
polymorphic-functions vs numericals
polymorphic-functions vs cffi
polymorphic-functions vs generic-cl
polymorphic-functions vs coalton
polymorphic-functions vs dense-arrays
polymorphic-functions vs ccl