![]() If you are using MSYS2, your can use the mingw-w64-nlohmann_json package, just type pacman -S mingw-w64-i686-nlohmann_json or pacman -S mingw-w64-x86_64-nlohmann_json for installation. If you are using conda, you can use the package nlohmann_json from conda-forge executing conda install -c conda-forge nlohmann_json. Please check this extensive description on how to use the package. If you are using NuGet, you can use the package nlohmann.json. If you are using CocoaPods, you can use the library by adding pod "nlohmann_json", '~>3.1.2' to your podfile (see an example). Also, the multiple header version can be installed by adding the -DJSON_MultipleHeaders=ON flag (i.e., cget install nlohmann/json -DJSON_MultipleHeaders=ON). A specific version can be installed with cget install nlohmann/. If you are using cget, you can install the latest development version with cget install nlohmann/json. Please see the vcpkg project for any issues regarding the packaging. If you are using vcpkg on your project for external dependencies, then you can use the nlohmann-json package. If you are using Buckaroo, you can install this library's module with buckaroo add /buckaroo-pm/nlohmann-json. Please see the hunter project for any issues regarding the packaging. If you are using hunter on your project for external dependencies, then you can use the nlohmann_json package. Please see the spack project for any issues regarding the packaging. If you are using Spack to manage your dependencies, you can use the nlohmann-json package. Please file issues here if you experience problems with the packages. If you are using Conan to manage your dependencies, merely add jsonformoderncpp/ /stable to your conanfile.py's requires, where x.y.z is the release version you want to use. In Meson, it is preferred to use the dependency() object with a subproject fallback, rather than using the subproject directly. To use it, simply have your build system require the nlohmann_json pkg-config dependency. The provided meson.build can also be used as an alternative to cmake for installing nlohmann_json system-wide in which case a pkg-config file is installed. Please see the meson project for any issues regarding the packaging. Alternatively, you can get a wrap file by downloading it from Meson WrapDB, or simply use meson wrap install nlohmann_json. ![]() You may also use the include.zip published in this project's Releases to reduce the size of the vendored source tree. If you are using the Meson Build System, add this source tree as a meson subproject. If you want the bleeding edge rather than the latest release, use brew install nlohmann-json -HEAD. □ If you are using OS X and Homebrew, just type brew tap nlohmann/json and brew install nlohmann-json and you're set. ![]() Thirdparty/nlohmann_json is then a complete copy of this source tree. Set(JSON_BuildTests OFF CACHE INTERNAL "") You need to addįind_package(nlohmann_json 3.2.0 REQUIRED) Json.hpp is the single required file in single_include/nlohmann or released here. See the contribution guidelines for more information. If you know how to use a std::vector or std::map, you are already set. However, if your goal is to speed up your development by adding JSON support with a single header, then this library is the way to go. There are certainly faster JSON libraries out there. However, you can template the generalized class basic_json to your needs. The default generalization uses the following C++ data types: std::string for strings, int64_t, uint64_t or double for numbers, std::map for objects, std::vector for arrays, and bool for Booleans. ![]() Each JSON object has an overhead of one pointer (the maximal size of a union) and one enumeration element (1 byte). Other aspects were not so important to us: To maintain high quality, the project is following the Core Infrastructure Initiative (CII) best practices. Google OSS-Fuzz additionally runs fuzz tests against all parsers 24/7, effectively executing billions of tests so far. Furthermore, we checked with Valgrind and the Clang Sanitizers that there are no memory leaks. Our class is heavily unit-tested and covers 100% of the code, including all exceptional behavior. ![]() All in all, everything should require no adjustment of your compiler flags or project settings. No library, no subproject, no dependencies, no complex build system. Our whole code consists of a single header file json.hpp. Check out the examples below and you'll know what I mean. We used all the operator magic of modern C++ to achieve the same feeling in your code. In languages such as Python, JSON feels like a first class data type. There are myriads of JSON libraries out there, and each may even have its reason to exist. Binary formats (BSON, CBOR, MessagePack, and UBJSON).
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