Vehicle Routing Problem (VRP)
Quicker routes for a fleet of vehicles.
Build your own PlanningAI model in Java, Python or Kotlin.
Apache License 2.0. Available in Maven Central and PyPi.
Quicker routes for a fleet of vehicles.
Timely upkeep of machinery and equipment.
Reduce makespan for assembly lines.
A better conference experience for attendees, speakers and organizers.
Compact schedules for teachers and students.
Assign shifts to employees by skills and availability.
Assign tasks by priority, skills and affinity.
Check out our quickstarts repository on GitHub.
Timefold Solver is the continuation of Red Hat’s OptaPlanner by its creator and the team around it.
In production around the globe
Thousands of downloads per month
Fully documented
Thoroughly tested
Actively maintained
Timefold Solver is compatible with all major frameworks and platforms in the Java, Python and Kotlin ecosystems.
Timefold Solver is open source, released under the Apache License. It is free, including for commercial use. It solves any planning problem. The source code is on GitHub.
Timefold Solver is actively developed by Timefold, an Open Core company that builds ready-made enterprise models on top of it, to tackle complex scheduling and routing problems for their customers. Timefold also offers an Enterprise subscription with support and high-scalability features.