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. Design goals There are myriads of libraries out there, and each may even have its reason to exist. Our class had these design goals:. Intuitive syntax.

In languages such as Python, JSON feels like a first class data type. We used all the operator magic of modern C to achieve the same feeling in your code. Check out the and you'll know what I mean.

Trivial integration. Our whole code consists of a single header file. No library, no subproject, no dependencies, no complex build system. The class is written in vanilla C11. All in all, everything should require no adjustment of your compiler flags or project settings.

Serious testing. Our class is heavily and covers of the code, including all exceptional behavior. Furthermore, we checked with and the that there are no memory leaks. Additionally runs fuzz tests agains all parsers 24/7, effectively executing billions of tests so far. To maintain high quality, the project is following the.

Other aspects were not so important to us:. Memory efficiency.

Each JSON object has an overhead of one pointer (the maximal size of a union) and one enumeration element (1 byte). The default generalization uses the following C data types: std::string for strings, int64t, uint64t or double for numbers, std::map for objects, std::vector for arrays, and bool for Booleans.

However, you can template the generalized class basicjson to your needs. There are certainly out there. 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. If you know how to use a std::vector or std::map, you are already set. See the for more information. Integration is the single required file in singleinclude/nlohmann.

You need to add. # include // for convenience using json = nlohmann::json; to the files you want to process JSON and set the necessary switches to enable C11 (e.g., -std=c11 for GCC and Clang). You can further use file for forward-declarations. The installation of jsonfwd.hpp (as part of cmake's install step), can be achieved by setting -DJSONMultipleHeaders=ON.

CMake You can also use the nlohmannjson::nlohmannjson interface target in CMake. This target populates the appropriate usage requirements for INTERFACEINCLUDEDIRECTORIES to point to the appropriate include directories and INTERFACECOMPILEFEATURES for the necessary C11 flags.

External To use this library from a CMake project, you can locate it directly with findpackage and use the namespaced imported target from the generated package configuration. # Typically you don't care so much for a third party library's tests to be # run from your own project's code. Set(JSONBuildTests OFF CACHE INTERNAL ') # Don't use include(nlohmannjson/CMakeLists.txt) since that carries with it # inintended consequences that will break the build.

It's generally # discouraged (although not necessarily well documented as such) to use # include(.) for pulling in other CMake projects anyways. Targetlinklibraries(foo PRIVATE nlohmannjson::nlohmannjson) Supporting Both To allow your project to support either an externally supplied or an embedded JSON library, you can use a pattern akin to the following.

# thirdparty/CMakeLists.txt. If(FOOUSEEXTERNALJSON) findpackage(nlohmannjson 3.2.0 REQUIRED) else set(JSONBuildTests OFF CACHE INTERNAL ') addsubdirectory(nlohmannjson) endif.

Thirdparty/nlohmannjson is then a complete copy of this source tree. Package Managers 🍺 If you are using OS X and, just type brew tap nlohmann/json and brew install nlohmannjson and you're set. If you want the bleeding edge rather than the latest release, use brew install nlohmannjson -HEAD. If you are using the, then you can get a wrap file by downloading it from, or simply use meson wrap install nlohmannjson.

If you are using to manage your dependencies, merely add jsonformoderncpp/x.y.z@vthiery/stable to your conanfile.py's requires, where x.y.z is the release version you want to use. Please file issues if you experience problems with the packages. If you are using to manage your dependencies, you can use the nlohmannjson package. Please see the for any issues regarding the packaging. If you are using on your project for external dependencies, then you can use the.

Please see the hunter project for any issues regarding the packaging. If you are using, you can install this library's module with buckaroo install nlohmann/json. Please file issues. If you are using on your project for external dependencies, then you can use the.

Please see the vcpkg project for any issues regarding the packaging. If you are using, you can install the latest development version with cget install nlohmann/json. A specific version can be installed with cget install nlohmann/json@v3.1.0. Also, the multiple header version can be installed by adding the -DJSONMultipleHeaders=ON flag (i.e., cget install nlohmann/json -DJSONMultipleHeaders=ON). If you are using, you can use the library by adding pod 'nlohmannjson', '3.1.2' to your podfile (see ). Please file issues.

Examples Beside the examples below, you may want to check the where each function contains a separate code example (e.g., check out ). All can be compiled and executed on their own (e.g., file ). JSON as first-class data type Here are some examples to give you an idea how to use the class. Assume you want to create the JSON object. // store a string in a JSON value json jstring = 'this is a string '; // retrieve the string value (implicit JSON to std::string conversion) std::string cppstring = jstring; // retrieve the string value (explicit JSON to std::string conversion) auto cppstring2 = jstring.get; // retrieve the string value (alternative explicit JSON to std::string conversion) std::string cppstring3; jstring.getto(cppstring3); // retrieve the serialized value (explicit JSON serialization) std::string serializedstring = jstring.dump; // output of original string std::cout. // read a JSON file std::ifstream i( 'file.json '); json j; i j; // write prettified JSON to another file std::ofstream o( 'pretty.json '); o. // called when null is parsed bool null; // called when a boolean is parsed; value is passed bool boolean( bool val); // called when a signed or unsigned integer number is parsed; value is passed bool numberinteger( numberintegert val); bool numberunsigned( numberunsignedt val); // called when a floating-point number is parsed; value and original string is passed bool numberfloat( numberfloatt val, const stringt& s); // called when a string is parsed; value is passed and can be safely moved away bool string( stringt& val); // called when an object or array begins or ends, resp.

The number of elements is passed (or -1 if not known) bool startobject(std:: sizet elements); bool endobject; bool startarray(std:: sizet elements); bool endarray; // called when an object key is parsed; value is passed and can be safely moved away bool key( stringt& val); // called when a parse error occurs; byte position, the last token, and an exception is passed bool parseerror(std:: sizet position, const std::string& lasttoken, const detail::exception& ex); The return value of each function determines whether parsing should proceed. To implement your own SAX handler, proceed as follows:. Implement the SAX interface in a class. You can use class nlohmann::jsonsax as base class, but you can also use any class where the functions described above are implemented and public. Create an object of your SAX interface class, e.g. Call bool json::saxparse(input, &mysax); where the first parameter can be any input like a string or an input stream and the second parameter is a pointer to your SAX interface.

Note the saxparse function only returns a bool indicating the result of the last executed SAX event. It does not return a json value - it is up to you to decide what to do with the SAX events. Furthermore, no exceptions are thrown in case of a parse error - it is up to you what to do with the exception object passed to your parseerror implementation. Internally, the SAX interface is used for the DOM parser (class jsonsaxdomparser) as well as the acceptor ( jsonsaxacceptor), see file. STL-like access We designed the JSON class to behave just like an STL container. In fact, it satisfies the requirement.

// enum to JSON as string json j = TSSTOPPED; assert(j 'stopped '); // json string to enum json j3 = 'running '; assert(j3.get TSRUNNING); // undefined json value to enum (where the first map entry above is the default) json jPi = 3.14; assert(jPi.get TSINVALID ); Just as in above,. NLOHMANNJSONSERIALIZEENUM MUST be declared in your enum type's namespace (which can be the global namespace), or the library will not be able to locate it and it will default to integer serialization. It MUST be available (e.g., proper headers must be included) everywhere you use the conversions. Other Important points:. When using get, undefined JSON values will default to the first pair specified in your map. Select this default pair carefully.

If an enum or JSON value is specified more than once in your map, the first matching occurrence from the top of the map will be returned when converting to or from JSON. Binary formats (BSON, CBOR, MessagePack, and UBJSON Though JSON is a ubiquitous data format, it is not a very compact format suitable for data exchange, for instance over a network. Hence, the library supports (Binary JSON), (Concise Binary Object Representation), and (Universal Binary JSON Specification) to efficiently encode JSON values to byte vectors and to decode such vectors.