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.
This tool helps operations managers, schedulers, and resource planners tackle complex scheduling and routing challenges. It takes raw data like available vehicles, employee shifts, or tasks, and generates optimized plans such as efficient delivery routes, balanced staff rosters, or effective maintenance schedules. Its primary users are professionals responsible for allocating resources and managing logistics in various industries.
1,600 stars. Actively maintained with 24 commits in the last 30 days.
Use this if you need to solve intricate planning problems like vehicle routing, employee rostering, or maintenance scheduling to maximize efficiency and minimize costs.
Not ideal if your planning needs are very simple and can be handled with basic spreadsheets, or if you require a commercial solution with dedicated support and advanced features like multi-threaded solving out-of-the-box.
Stars
1,600
Forks
185
Language
Java
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
24
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/TimefoldAI/timefold-solver"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
TimefoldAI/timefold-quickstarts
Get started with Timefold quickstarts here. Optimize the vehicle routing problem, employee...
apache/incubator-kie-optaplanner-quickstarts
OptaPlanner quick starts for AI optimization: many use cases shown in many different technologies.
optapy/optapy
OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.
berv-uni-project/scheduler-op
This is scheduler that implements 3 algorithm.
Areesha-Tahir/Exam-Scheduler-Using-Genetic-Algorithm-In-Python
Exam schedule generation using Genetic Algorithm.