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This library is a header-only C++ framework designed for the serialization, parsing, and manipulation of structured data. It provides a recursive variant data model that represents arbitrary structures as native types, allowing developers to navigate, modify, and patch hierarchical data using standard pointer paths and declarative update patterns.
The main features of nlohmann/json are: Data Serialization and Parsing, JSON Processors, Serialization Libraries, Recursive Data Models, Binary Data Formats, Serialization Frameworks, Data Formats, Data Formats and Parsing.
Projects with overlapping indexed features include: tencent/rapidjson — RapidJSON is a header-only C++ library designed for high-performance parsing, generation, and manipulation of JSON… simdjson/simdjson — simdjson is a high-performance, header-only C++ library designed for parsing, querying, and serializing JSON data with… google/flatbuffers — FlatBuffers is a cross-platform serialization library designed for performance-critical applications that require… davegamble/cjson — cJSON is a lightweight library for parsing, creating, and modifying JSON data structures within C applications. It… kazuho/picojson — a header-file-only, JSON parser serializer in C++. open-source-parsers/jsoncpp — JsonCpp is a C++ library for parsing, manipulating, and generating JSON data. It functions as a data interchange tool…
RapidJSON is a header-only C++ library designed for high-performance parsing, generation, and manipulation of JSON data. It functions as a dual-mode engine, providing both an in-memory document object model for tree-based manipulation and a stream-based interface for event-driven processing. The library is built to minimize memory footprint and maximize execution speed, making it suitable for resource-constrained environments. The library distinguishes itself through advanced memory management and optimization techniques, including in-situ parsing that modifies input buffers directly to elimi
simdjson is a high-performance, header-only C++ library designed for parsing, querying, and serializing JSON data with minimal memory overhead. It functions as a hardware-aware data processing engine that leverages vector instructions to achieve gigabyte-per-second parsing speeds. By detecting host processor capabilities at runtime, the library automatically selects the most efficient instruction sets to accelerate structural analysis and validation. The library distinguishes itself through a focus on extreme efficiency and resource management. It utilizes memory mapping and padded buffer ali
FlatBuffers is a cross-platform serialization library designed for performance-critical applications that require efficient, zero-copy data access. By organizing data in a structured binary format, it allows applications to read and write complex data structures directly from memory-mapped buffers without the need for intermediate parsing or temporary object allocation. The project distinguishes itself through a schema-driven approach that balances high-performance access with long-term data evolution. It utilizes a unique memory layout featuring relative offsets and inline fixed-size structu
a header-file-only, JSON parser serializer in C++