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)
ctype
CL type system implementation (by s-expressionists)
Our great sponsors
polymorphic-functions | ctype | |
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6 | 2 | |
50 | 25 | |
- | - | |
5.6 | 6.2 | |
27 days ago | 24 days ago | |
Common Lisp | Common Lisp | |
- | BSD 2-clause "Simplified" 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:
ctype
Posts with mentions or reviews of ctype.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-20.
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Re-targeting (Lisp) compilers
There is significant overlap with SICL and its associated pieces which supply many of the other parts needed to make a Common Lisp. Some of these are Cluster which provides a portable and extensible assembler, Eclector which supplies a portable and extensible reader, Concrete-Syntax-Tree that supports source code tracking during compilation, ctype that implements the Common Lisp type system, and Clostrum that provides first-class environments for e.g. run-time, evaluation, and compilation. The SICL project has as one of its goals the creation of portable infrastructure for implementing Common Lisp, and these pieces are novel building blocks that were created as part of the project.
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Common Lisp polymorphic stories.
Other times, the support is limited by the implementations supported by ctype and cl-form-types (and cl-environments). Although, if there is any good request, I could work on making a dynamic-only ANSI-CL compliant sub-system of PF.
What are some alternatives?
When comparing polymorphic-functions and ctype you can also consider the following projects:
lisp-interface-library - LIL: abstract interfaces and supporting concrete data-structures in Common Lisp
fast-generic-functions - Seal your generic functions for an extra boost in performance.
cl-parametric-types - (BETA) C++-style templates for Common Lisp
sealable-metaobjects - A CLOSsy way to trade genericity for performance.
numericals - CFFI enabled SIMD powered simple-math numerical operations on arrays for Common Lisp [still experimental]
Concrete-Syntax-Tree - Concrete Syntax Trees represent s-expressions with source information
cffi - The Common Foreign Function Interface
generic-cl - Generic function interface to standard Common Lisp functions
Clostrum - First Class Global Environments
polymorphic-functions vs lisp-interface-library
ctype vs fast-generic-functions
polymorphic-functions vs fast-generic-functions
ctype vs lisp-interface-library
polymorphic-functions vs cl-parametric-types
ctype vs sealable-metaobjects
polymorphic-functions vs numericals
ctype vs Concrete-Syntax-Tree
polymorphic-functions vs cffi
ctype vs generic-cl
polymorphic-functions vs generic-cl
ctype vs Clostrum