In the first release of year 2026, we bring a whole bunch of performance improvements, as well as bugfixes and quality of life improvements. Especially users of the recently introduced Constraint Streams' precompute should benefit.

Changelog

🚀 Features

• Enable partitioned search for list variable (#2002)
• Multistage moves (#1976)

🐛 Fixes

• Detect numeric overflow in scoring (#2015)

🔄️ Changes

• Improve hashing performance (#2001)
• Assorted improvements to help JVM to inline methods (#1990)
• Improve precompute performance by optimizing updates (#1977)

🧰 Tasks

• Add fail-fast when a list or inverse variable is used as a group source (#2016)
• Improve XXE attack prevention (#2008)

Contributors

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

• Christopher Chianelli (@Christopher-Chianelli)
• Tom Cools (@TomCools)
• Frederico Gonçalves (@zepfred)
• Lukáš Petrovický (@triceo)

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. Timefold Solver Enterprise Edition requires a license.

How to use Timefold Solver

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

With Maven or Gradle, add the ai.timefold.solver : timefold-solver-core : 1.30.0 dependency in your pom.xml to get started.

You can also import the Timefold Solver Bom (ai.timefold.solver : timefold-solver-bom : 1.30.0) 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.