Nearly a year ago, we released Timefold Solver 1.0 for Java, the first step on our journey to rid the world of wasteful planning. Today, the journey continues as we announce Timefold Solver for Python!

In this first Beta release, we give the Python ecosystem access to Timefold Solver and all of its features. We invite you to try out our new Python quickstarts and let us know what you think. Do you like the APIs? Does it integrate well with your Python projects? How's the performance? We need your feedback!

Timefold Solver for Python will move out of Beta once we've heard back from enough of you. While in Beta, we reserve the right to change APIs and to add or remove functionality based on user feedback. Once we leave Beta, we will provide the same backwards compatibility guarantees as with the Java solver.

And speaking of the Java solver, we haven't forgotten about it either. In this release, we've been mostly fixing bugs and making small tweaks here and there. Going forward, we've got plenty of interesting things in store for the Java and Python solvers, as they will evolve together from now on.

Changelog

🐛 Fixes

• Make the nearbyDistanceMeterClass a visitable class for GIZMO
• Use custom thread factory class in SolverManager (#875), closes #875
• Disable nearby configuration for CH

🧰 Tasks

• Update docs on which time and date types to use

📝 Documentation

• Fix a typo in toConsecutiveSequences example
• Fix typos in connected ranges
• Fix typos in collectors
• Fix ConstraintCollectors.average() example

Contributors

We'd like to thank the following people for their contributions:

• Christopher Chianelli
• Frederico Gonçalves (@zepfred)
• Geoffrey De Smet
• Lukáš Petrovický (@triceo)
• Marek Winkler (@winklerm)
• plplmax (@plplmax)

Timefold Solver Community Edition is an open source project, and you are more than welcome to contribute as well! For more, see Contributing.

Should your business need to scale to truly massive data sets or require enterprise-grade support, check out Timefold Solver Enterprise Edition.

How to use Timefold Solver in Java or Kotlin

To see Timefold Solver in action, check out the quickstarts.

With Maven or Gradle, add the ai.timefold.solver : timefold-solver-core : 1.11.0 dependency in your pom.xml to get started.

You can also import the Timefold Solver Bom (ai.timefold.solver : timefold-solver-bom : 1.11.0) to avoid duplicating version numbers when adding other Timefold Solver dependencies later on.

Additional notes

The changelog and the list of contributors above are automatically generated. It excludes contributions to certain areas of the repository, such as CI and build automation. This is done for the sake of brevity and to make the user-facing changes stand out more.