optaplanner-quickstarts VS OptaPlanner

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

optaplanner-quickstarts

Mirror of https://github.com/apache/incubator-kie-optaplanner-quickstarts (by kiegroup)
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optaplanner-quickstarts OptaPlanner
4 30
28 138
- 9.4%
4.7 7.4
about 1 month ago 19 days ago
Java Java
Apache License 2.0 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.

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.

OptaPlanner

Posts with mentions or reviews of OptaPlanner. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-23.

What are some alternatives?

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

or-tools - Google's Operations Research tools:

Choco - An open-source Java library for Constraint Programming

HiGHS - Linear optimization software

intellij-quarkus - IntelliJ Quarkus Tools

jsprit - jsprit is a java based, open source toolkit for solving rich vehicle routing problems

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

JaCoP - Java Constraint Programming solver

clpz - Constraint Logic Programming over Integers

vroom - Vehicle Routing Open-source Optimization Machine

golomb-solver - Create Golomb rulers with constraint programming

kotlin-statistics - Idiomatic statistical operators for Kotlin