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Timefold Solver project preview

Timefold Solver

Enterprise AI planning solver for vehicle routing, employee shift scheduling, and warehouse optimization.

LicenseApache-2.0
GitHub stars1.8k
Last commit1 weeks ago
Tags5 topics
Warehouse Bin PackingEmployee Shift SchedulingVehicle Fleet RoutingProductivityAi Planning Solver
Overview

Why consider Timefold Solver?

Timefold Solver is an open-source AI optimization engine written in Java and Python. It solves complex NP-hard business planning problems including multi-depot fleet routing, staff shift rosters, and warehouse bin packing.

Guided learning

Learn Timefold Solver by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Timefold Solver

Timefold Solver automates intricate operational scheduling and resource allocation models.

Quickstart

bash
1git clone https://github.com/TimefoldAI/timefold-solver.git
2cd timefold-solver
3mvn clean install

Define your domain entity constraints in Java to find mathematically optimal vehicle routes.

Timefold Solver is licensed under the Apache License 2.0.

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Timefold Solver FAQs

Timefold Solver is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Timefold Solver is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Timefold Solver is listed as an alternative to OptaPlanner Enterprise. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.