by google

google / or-tools

Google's Operations Research tools:

6.2K Stars 1.3K Forks Last release: 9 days ago (v8.0) Apache License 2.0 8.3K Commits 35 Releases

Available items

No Items, yet!

The developer of this repository has not created any items for sale yet. Need a bug fixed? Help with integration? A different license? Create a request here:

OR-Tools - Google Optimization Tools

Build Status Build Status Build Status

PyPI version PyPI download Binder \ NuGet version NuGet download


Google's software suite for combinatorial optimization.

Table of Contents

About OR-Tools

Google Optimization Tools (a.k.a., OR-Tools) is an open-source, fast and portable software suite for solving combinatorial optimization problems.

The suite contains:

  • A constraint programming solver;
  • A linear programming solver;
  • Wrappers around commercial and other open source solvers, including mixed integer solvers;
  • Bin packing and knapsack algorithms;
  • Algorithms for the Traveling Salesman Problem and Vehicle Routing Problem;
  • Graph algorithms (shortest paths, min cost flow, max flow, linear sum assignment).

We wrote OR-Tools in C++, but also provide wrappers in Python, C# and Java.


This software suite is composed of the following components:

  • Makefile Top-level for GNU Make based build.
  • makefiles Subsidiary Make files, CI and build system documentation.
  • CMakeLists.txt Top-level for CMake based build.
  • cmake Subsidiary CMake files, CI and build system documentation.
  • bazel Subsidiary Bazel files, CI and build system documentation.
  • ortools Root directory for source code.
    • base Basic utilities.
    • algorithms Basic algorithms.
      • samples Carefully crafted samples.
    • graph Graph algorithms.
      • samples Carefully crafted samples.
    • linear_solver Linear solver wrapper.
      • samples Carefully crafted samples.
    • glop Google linear solver.
    • lp_data Data structures for linear models.
    • constraint_solver Constraint and Routing solver.
      • doc Documentation of the component.
      • samples Carefully crafted samples.
    • sat SAT solver.
      • doc Documentation of the component.
      • samples Carefully crafted samples.
    • bop Boolean solver based on SAT.
    • util Utilities needed by the constraint solver
  • examples Root directory for all examples.
  • tools Delivery Tools (e.g. Windows GNU binaries, scripts, release dockers)


This software suite has been tested under:

  • Ubuntu 18.04 LTS and up (64-bit);
  • Apple macOS Mojave with Xcode 9.x (64-bit);
  • Microsoft Windows with Visual Studio 2019 (64-bit).

OR-Tools currently builds with a Makefile, but also provides Bazel and CMake support.

For installation instructions (both source and binary), please visit https://developers.google.com/optimization/introduction/installing.

Build from source using Make (legacy)

We provide a Make based build.
Please check the Make build instructions.

Build from source using CMake

We provide a CMake based build.
Please check the CMake build instructions.

Build from source using Bazel

We provide a Bazel based build.
Please check the Bazel build instructions.

Quick Start

The best way to learn how to use OR-Tools is to follow the tutorials in our developer guide:


If you want to learn from code examples, take a look at the examples in the examples directory.


The complete documentation for OR-Tools is available at: https://developers.google.com/optimization/


The CONTRIBUTING.md file contains instructions on how to submit the Contributor License Agreement before sending any pull requests (PRs). Of course, if you're new to the project, it's usually best to discuss any proposals and reach consensus before sending your first PR.


The OR-Tools software suite is licensed under the terms of the Apache License 2.0.
See LICENSE-2.0 for more information.

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.