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Stars gained: From May 12, 2026 to Nov 13, 2026, each from zeroStars gainedFrom May 12, 2026 to Nov 13, 2026, each from zero0100200May 12Nov 13, 2026TimefoldAI/timefold-solverapache/incubator-kie-optaplanner
Stars: The star count at the end of each dayStarsThe star count at the end of each day2K3KMay 8Nov 13, 2026TimefoldAI/timefold-solverapache/incubator-kie-optaplanner

Facts

Fact TimefoldAI/timefold-solver

The open source Solver AI for Java and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.

apache/incubator-kie-optaplanner

OplaPlanner has moved to https://github.com/apache/incubator-kie-drools. This repository is archived. OptaPlanner is an AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

Stars 1,8723,513
Net stars, last 30 days +460
Largest star day +5 on Oct 7, 2026+2 on May 22, 2026
Milestone reached in the record NoneNone
Forks 243971
Language JavaJava
License APACHE-2.0APACHE-2.0
Created Mar 28, 2023Feb 15, 2011
Last push Nov 13, 2026Jul 14, 2026
Archived NoYes
Health facts: Maintenance 2 of 4 checks (2 without data)0 of 4 checks (2 without data)
Health facts: Releases 2 of 3 checks (1 without data)2 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 12, 2026Nov 10, 2026

Topics that all of them have on the Repository Host: artificial-intelligence, java, solver, constraint-programming, constraint-solver. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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