A next-generation, header-only C++ JSON serialization engine with zero dependencies and seamless type conversion.
meojson is a next-generation C++ JSON serialization engine that enables seamless conversion between JSON and complex C++ data structures. It solves the problem of verbose and error-prone manual JSON handling by providing automatic serialization for STL containers, custom structs, and enums through a simple, header-only library.
C++ developers working on applications that require JSON serialization/deserialization, particularly those dealing with nested or complex data structures who want a modern, zero-dependency solution.
Developers choose meojson for its intuitive API, automatic type conversion without intrusive code, and flexibility—it supports JSONC, runtime type checking, and works with any C++17-compliant compiler without external dependencies.
✨ Next-gen C++ JSON Serialization Engine | Zero Dependency | Header-Only | Unleash JSON Potential
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As a header-only library requiring only C++17 and STL, meojson can be dropped into any project without managing external dependencies, making setup straightforward and portable.
The MEO_JSONIZATION macro enables automatic serialization of custom structs and nested STL containers without writing boilerplate code, simplifying complex data handling as shown in the README examples.
Supports both standard JSON and JSON with comments (JSONC), including trailing commas, which is useful for configuration files and enhances interoperability with other tools.
Provides methods like is<T>() and find<T>() for checking types before conversion, reducing runtime errors and improving robustness when handling dynamic JSON data.
Meojson requires C++17, which excludes projects on older compilers or standards, limiting adoption in legacy environments without upgrades.
Relies on macros like MEO_JSONIZATION for serialization, which some developers find less maintainable or intrusive compared to template-based approaches in libraries like nlohmann/json.
As a newer library from a smaller project, it lacks the extensive documentation, community support, and performance benchmarks of established alternatives, which may affect long-term stability.