clpz VS optaplanner-quickstarts

Compare clpz vs optaplanner-quickstarts and see what are their differences.

optaplanner-quickstarts

Mirror of https://github.com/apache/incubator-kie-optaplanner-quickstarts (by kiegroup)
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clpz optaplanner-quickstarts
5 4
172 27
- -
4.4 4.7
3 months ago about 1 month ago
Prolog Java
- Apache License 2.0
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.

clpz

Posts with mentions or reviews of clpz. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-01.
  • Logic programming is overrated, at least for logic puzzles (2013)
    2 projects | news.ycombinator.com | 1 Jun 2023
    As pointed out in the comments in the article, these kinds of logic puzzles are easier to solve using constraint programming than "regular" logic programming.

    For example, see the solution to the Zebra Puzzle here: https://www.metalevel.at/prolog/puzzles which uses CLPZ[^1].

    [^1]: https://github.com/triska/clpz

  • Markus Triska Interview on Prolog
    1 project | /r/prolog | 31 Oct 2022
    Scryer has the strings-as-lists-but-implemented-efficiently thing, possibly more strict ISO Prolog compatible syntax, and it may ship with a more advanced constraint library (I'm not clear on the relationship between SWI's clpfd and Scryer clpz).
  • is it possible to have a reversable operation
    2 projects | /r/rust | 22 Apr 2022
    None of these are full-fledged programming languages, however. They're limited to problems that lie in the polynomial hierarchy (A class which contains P and NP). Logic programming is generally only used to solve hard problems for which no good algorithm is known. Prolog also sort of fits this niche and it has a bunch of solvers integrated into it. Notably CLPFD which uses https://github.com/triska/clpz for constraint logic programming. Rosette (https://docs.racket-lang.org/rosette-guide/index.html) is another solver-based language. Except it uses lisp syntax (it's embedded in the Racket language). It uses Z3 as a solver (linked above for SMT theories)
  • Ask HN: Do you use an optimization solver? Which one? Why? Do you like it?
    12 projects | news.ycombinator.com | 20 Apr 2022
  • What is the difference between constraint solving and constraints programming?
    2 projects | /r/compsci | 3 Nov 2021
    Constraint programming I guess is when one uses a prolog library such as: https://github.com/triska/clpz

optaplanner-quickstarts

Posts with mentions or reviews of optaplanner-quickstarts. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-12.

What are some alternatives?

When comparing clpz and optaplanner-quickstarts you can also consider the following projects:

prolog-checkers - A Player vs AI game of checkers implemented in Prolog

or-tools - Google's Operations Research tools:

HiGHS - Linear optimization software

SSI - A Prolog Compiler written in Prolog.

intellij-quarkus - IntelliJ Quarkus Tools

kanren - An extensible, lightweight relational/logic programming DSL written in pure Python

OptaPlanner - Java Constraint Solver to solve vehicle routing, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

python-mip - Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs

csips - A pure-python integer programming solver

golomb-solver - Create Golomb rulers with constraint programming