# OR-Tools - Google Optimization Tools [![Build Status][github_status]][github_link] [![Build Status][travis_status]][travis_link] [![Build Status][appveyor_status]][appveyor_link] [github_status]: https://github.com/google/or-tools/workflows/C++%20CI/badge.svg?branch=master [github_link]: https://github.com/google/or-tools/actions [travis_status]: https://travis-ci.org/google/or-tools.svg?branch=master [travis_link]: https://travis-ci.org/google/or-tools [appveyor_status]: https://ci.appveyor.com/api/projects/status/9hyykkcm8sh3ua6x/branch/master?svg=true [appveyor_link]: https://ci.appveyor.com/project/lperron/or-tools-98u1n [![PyPI version](https://badge.fury.io/py/ortools.svg)](https://pypi.org/project/ortools/) [![PyPI download](https://img.shields.io/pypi/dm/ortools.svg)](https://pypi.org/project/ortools/#files) [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/google/or-tools/master) \ [![NuGet version](https://badge.fury.io/nu/Google.OrTools.svg)](https://www.nuget.org/packages/Google.OrTools) [![NuGet download](https://img.shields.io/nuget/dt/Google.OrTools.svg)](https://www.nuget.org/packages/Google.OrTools) [![Discord](https://img.shields.io/discord/693088862481678374?color=7289DA&logo=discord&style=plastic)](https://discord.gg/ENkQrdf) Google's software suite for combinatorial optimization. ## Table of Contents * [About OR-Tools](#about) * [Codemap](#codemap) * [Installation](#installation) * [Quick Start](#quick-start) * [Documentation](#documentation) * [Contributing](#contributing) * [License](#license) ## 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. ## Codemap This software suite is composed of the following components: * [Makefile](Makefile) Top-level for [GNU Make](https://www.gnu.org/software/make/manual/make.html) based build. * [makefiles](makefiles) Subsidiary Make files, CI and build system documentation. * [CMakeLists.txt](CMakeLists.txt) Top-level for [CMake](https://cmake.org/cmake/help/latest/) based build. * [cmake](cmake) Subsidiary CMake files, CI and build system documentation. * [bazel](bazel) Subsidiary Bazel files, CI and build system documentation. * [BUILD](bazel/BUILD) Top-level for [Bazel](https://docs.bazel.build/versions/master/bazel-overview.html) based build. * [ortools](ortools) Root directory for source code. * [base](ortools/base) Basic utilities. * [algorithms](ortools/algorithms) Basic algorithms. * [samples](ortools/algorithms/samples) Carefully crafted samples. * [graph](ortools/graph) Graph algorithms. * [samples](ortools/graph/samples) Carefully crafted samples. * [linear_solver](ortools/linear_solver) Linear solver wrapper. * [samples](ortools/linear_solver/samples) Carefully crafted samples. * [glop](ortools/glop) Google linear solver. * [lp_data](ortools/lp_data) Data structures for linear models. * [constraint_solver](ortools/constraint_solver) Constraint and Routing solver. * [doc](ortools/constraint_solver/doc) Documentation of the component. * [samples](ortools/constraint_solver/samples) Carefully crafted samples. * [sat](ortools/sat) SAT solver. * [doc](ortools/sat/doc) Documentation of the component. * [samples](ortools/sat/samples) Carefully crafted samples. * [bop](ortools/bop) Boolean solver based on SAT. * [util](ortools/util) Utilities needed by the constraint solver * [examples](examples) Root directory for all examples. * [contrib](examples/contrib) Examples from the community. * [cpp](examples/cpp) C++ examples. * [dotnet](examples/dotnet) .Net examples. * [java](examples/java) Java examples. * [python](examples/python) Python examples. * [notebook](examples/notebook) Jupyter/IPython notebooks. * [flatzinc](examples/flatzinc) FlatZinc examples. * [data](examples/data) Data files for examples. * [tests](examples/tests) Unit tests and bug reports. * [tools](tools) Delivery Tools (e.g. Windows GNU binaries, scripts, release dockers) ## Installation 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](makefiles/README.md). ### Build from source using CMake We provide a CMake based build.
Please check the [CMake build instructions](cmake/README.md). ### Build from source using Bazel We provide a Bazel based build.
Please check the [Bazel build instructions](bazel/README.md). ## Quick Start The best way to learn how to use OR-Tools is to follow the tutorials in our developer guide: https://developers.google.com/optimization/introduction/get_started If you want to learn from code examples, take a look at the examples in the [examples](examples) directory. ## Documentation The complete documentation for OR-Tools is available at: https://developers.google.com/optimization/ ## Contributing The [CONTRIBUTING.md](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. ## License The OR-Tools software suite is licensed under the terms of the Apache License 2.0.
See [LICENSE-2.0](LICENSE-2.0.txt) for more information.