{"id":22069762,"url":"https://github.com/timefoldai/timefold-solver","last_synced_at":"2026-10-19T11:10:09.900Z","repository":{"id":154282026,"uuid":"620363420","full_name":"TimefoldAI/timefold-solver","owner":"TimefoldAI","description":"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.","archived":false,"fork":false,"pushed_at":"2026-10-12T07:01:14.000Z","size":275387,"stargazers_count":1823,"open_issues_count":117,"forks_count":238,"subscribers_count":23,"default_branch":"main","last_synced_at":"2026-10-12T07:11:58.197Z","etag":null,"topics":["ai","artificial-intelligence","constraint-programming","constraint-solver","cvrp","employee-scheduling","java","kotlin","maintenance-scheduling","operations-research","optimization-algorithms","planning-algorithms","resource-allocation","solver","solver-library","vehicle-routing","vehicle-routing-problem","vrp","vrptw"],"latest_commit_sha":null,"homepage":"http://solver.timefold.ai","language":"Java","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/TimefoldAI.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":".github/CODEOWNERS","security":null,"accessibility":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":"AGENTS.md","claude":null,"gemini":null,"cursor":null,"copilot":null,"dco":null,"cla":null,"disclosure":null}},"created_at":"2023-03-28T14:33:35.000Z","updated_at":"2026-10-12T04:58:56.000Z","dependencies_parsed_at":"2026-10-12T07:11:25.153Z","dependency_job_id":null,"html_url":"https://github.com/TimefoldAI/timefold-solver","commit_stats":null,"previous_names":[],"tags_count":63,"template":false,"template_full_name":null,"purl":"pkg:github/TimefoldAI/timefold-solver","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TimefoldAI%2Ftimefold-solver","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TimefoldAI%2Ftimefold-solver/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TimefoldAI%2Ftimefold-solver/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TimefoldAI%2Ftimefold-solver/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/TimefoldAI","download_url":"https://codeload.github.com/TimefoldAI/timefold-solver/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TimefoldAI%2Ftimefold-solver/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":344872684,"owners_count":38355216,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-10-03T21:59:58.778Z","status":"online","status_checked_at":"2026-10-19T02:00:06.414Z","response_time":53,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","artificial-intelligence","constraint-programming","constraint-solver","cvrp","employee-scheduling","java","kotlin","maintenance-scheduling","operations-research","optimization-algorithms","planning-algorithms","resource-allocation","solver","solver-library","vehicle-routing","vehicle-routing-problem","vrp","vrptw"],"created_at":"2024-11-30T20:12:41.194Z","updated_at":"2026-10-19T11:10:09.893Z","avatar_url":"https://github.com/TimefoldAI.png","language":"Java","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://solver.timefold.ai\"\u003e\u003cimg src=\"docs/src/modules/ROOT/images/shared/timefold-solver-logo.png\" alt=\"Timefold\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n_Planning optimization made easy._  \n[timefold.ai](https://timefold.ai)\n\n[![GitHub Discussions](https://img.shields.io/github/discussions/TimefoldAI/timefold-solver?style=for-the-badge\u0026logo=github)](https://github.com/TimefoldAI/timefold-solver/discussions)\n[![Community Discord](https://img.shields.io/discord/1413420192213631086?style=for-the-badge\u0026logo=discord\u0026logoColor=white)](https://discord.gg/bW8tUUeBzH)\n[![Commit Activity](https://img.shields.io/github/commit-activity/m/TimefoldAI/timefold-solver?label=commits\u0026style=for-the-badge)](https://github.com/TimefoldAI/timefold-solver/pulse)\n[![GitHub Issues](https://img.shields.io/github/issues/TimefoldAI/timefold-solver?style=for-the-badge\u0026logo=github)](https://github.com/TimefoldAI/timefold-solver/issues)\n\n[![Reliability Rating](https://sonarcloud.io/api/project_badges/measure?project=ai.timefold:timefold-solver\u0026style=for-the-badge\u0026metric=reliability_rating)](https://sonarcloud.io/dashboard?id=ai.timefold:timefold-solver)\n[![Security Rating](https://sonarcloud.io/api/project_badges/measure?project=ai.timefold:timefold-solver\u0026metric=security_rating)](https://sonarcloud.io/dashboard?id=ai.timefold:timefold-solver)\n[![Maintainability Rating](https://sonarcloud.io/api/project_badges/measure?project=ai.timefold:timefold-solver\u0026metric=sqale_rating)](https://sonarcloud.io/dashboard?id=ai.timefold:timefold-solver)\n\nTimefold Solver is an AI constraint solver for Java and Kotlin.\nYou can use Timefold Solver to optimize the Vehicle Routing Problem, Employee Rostering,\nMaintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization,\nConference Scheduling, Job Shop Scheduling and many more planning problems.\n\nDeveloped by the original OptaPlanner team, our aim is to free the world of wasteful planning.\n\n## Get started with Timefold Solver in Java\n\n[![Maven artifact](https://img.shields.io/maven-central/v/ai.timefold.solver/timefold-solver-bom?logo=apache-maven\u0026style=for-the-badge)](https://ossindex.sonatype.org/component/pkg:maven/ai.timefold.solver/timefold-solver-bom)\n[![JVM support](https://img.shields.io/badge/Java-21+-brightgreen.svg?style=for-the-badge)](https://sdkman.io)\n\n* [Read a Getting Started guide.](https://docs.timefold.ai/timefold-solver/latest/quickstart/overview)\n* [Clone the Quickstarts repository.](https://github.com/TimefoldAI/timefold-quickstarts)\n\n## Build from source\n\n1. Install JDK 21+ and Maven 3.9.11+, for example with [Sdkman](https://sdkman.io):\n\n   ```\n   $ sdk install java\n   $ sdk install maven\n   ```\n\n2. Git clone this repository:\n\n   ```\n   $ git clone https://github.com/TimefoldAI/timefold-solver.git\n   $ cd timefold-solver\n   ```\n\n3. Build it from source:\n\n   ```\n   $ ./mvnw clean install -Dquickly\n   ```\n\n## Contribute\n\nThis is an open source project, and you are more than welcome to contribute!\nFor more, see [Contributing](CONTRIBUTING.md).\n\n## Editions\n\nThere are two editions of Timefold Solver:\n\n- _Timefold Solver Community Edition_,\n- _Timefold Solver Enterprise_.\n\nThe Community Edition (this repo) is open-source and licensed under the Apache-2.0 license.\nThe Enterprise Edition is a non-open-source commercial offering and requires a Timefold license to run.\n\n[See which edition is right for you.](https://licenses.timefold.ai/)\n\n## Legal notice\n\nTimefold Solver was [forked](https://timefold.ai/blog/2023/optaplanner-fork/) on 20 April 2023 from OptaPlanner,\nwhich was entirely Apache-2.0 licensed (a permissive license).\n\nTimefold Solver is a derivative work of OptaPlanner and OptaPy,\nwhich includes copyrights of the original creator, Red Hat Inc., affiliates, and contributors,\nthat were all entirely licensed under the Apache-2.0 license.\nEvery source file has been modified.\n\n### Documentation icon libraries\n\n- [tabler icons](https://tabler.io/icons) under [MIT license](https://docs.tabler.io/ui/getting-started/license)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftimefoldai%2Ftimefold-solver","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftimefoldai%2Ftimefold-solver","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftimefoldai%2Ftimefold-solver/lists"}