sel VS functional-trees

Compare sel vs functional-trees and see what are their differences.

functional-trees

Tree data structure supporting functional manipulation. Works closely with FSet. (by GrammaTech)
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sel functional-trees
3 1
162 9
0.6% -
9.6 8.2
about 2 months ago 4 months ago
Common Lisp Common Lisp
GNU General Public License v3.0 or later 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.

sel

Posts with mentions or reviews of sel. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-25.

functional-trees

Posts with mentions or reviews of functional-trees. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-16.

What are some alternatives?

When comparing sel and functional-trees you can also consider the following projects:

misc-extensions - Some utilities that are used by FSet and also are useful in conjunction with FSet.

fset - FSet, the functional collections library for Common Lisp.

pyshgp - Push Genetic Programming in Python.

prose - Microsoft Program Synthesis using Examples SDK is a framework of technologies for the automatic generation of programs from input-output examples. This repo includes samples and sample data for the Microsoft Program Synthesis using Example SDK.

gpFlappyBird - Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)

clojure-rust - Clojure to Rust compiler

gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)