![]() ![]() You can also use the nlohmann_json::nlohmann_json interface target in CMake. The installation of json_fwd.hpp (as part of cmake's install step), can be achieved by setting -DJSON_MultipleHeaders=ON. You can further use file include/nlohmann/json_fwd.hpp for forward-declarations. To the files you want to process JSON and set the necessary switches to enable C++11 (e.g., -std=c++11 for GCC and Clang). for convenienceusing json = nlohmann::json ``` Json.hpp is the single required file in single_include/nlohmann or released here. You can sponsor this library at GitHub Sponsors. 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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