# TimefoldAI/timefold-quickstarts

<https://repo.masters-masters.com/en/repos/TimefoldAI/timefold-quickstarts>

[Home](https://repo.masters-masters.com/en) › [TimefoldAI](https://repo.masters-masters.com/en/owners/TimefoldAI) › [timefold-quickstarts](https://repo.masters-masters.com/en/repos/TimefoldAI/timefold-quickstarts)

TimefoldAI/timefold-quickstarts has 602 stars on GitHub. Its RepoMasters card: Alpha tier. Get started with Timefold quickstarts here. Optimize the vehicle…

| Field | Value |
| --- | --- |
| Owner | [TimefoldAI](https://repo.masters-masters.com/en/owners/TimefoldAI) |
| Stars | 602 |
| Forks | 179 |
| Language | [Java](https://repo.masters-masters.com/en/languages/java) |
| License | Apache-2.0 |
| Created | 2023 |
| Topics | artificial-intelligence, employee-scheduling, gradle, java, job-shop-scheduling, kotlin, maintenance-scheduling, maven, planning-algorithms, quarkus |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [TimefoldAI/timefold-quickstarts](https://github.com/TimefoldAI/timefold-quickstarts) |

## Repository

Get started with Timefold quickstarts here. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.