A C/C++ implementation of the MessagePack binary serialization format for efficient data exchange.
msgpack-c is a C and C++ implementation of the MessagePack serialization format, which is a binary alternative to JSON. It enables efficient encoding and decoding of data structures for fast and compact data exchange between applications, particularly in performance-sensitive environments. The library reduces data size and parsing time compared to text-based formats like JSON.
C and C++ developers working on systems that require high-performance data serialization, such as embedded systems, network protocols, or applications where bandwidth and speed are critical.
Developers choose msgpack-c for its superior performance and smaller payload sizes compared to JSON, along with its straightforward integration into C/C++ projects. Its optimized encoding for common data types and cross-language compatibility make it a reliable choice for efficient data interchange.
MessagePack implementation for C and C++ / msgpack.org[C/C++]
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Encodes small integers into a single byte and minimizes string overhead, significantly reducing payload size and improving parsing speed compared to JSON, as emphasized in the README.
Supports data exchange between multiple programming languages similar to JSON, enabling seamless integration in polyglot systems while offering better performance.
Provides separate, maintained libraries for C and C++ in dedicated branches (c_master and cpp_master), catering to different project requirements and language-specific optimizations.
Prioritizes minimal overhead and fast serialization/deserialization, making it ideal for performance-critical applications like network protocols and embedded systems.
Binary encoding makes debugging and manual data inspection challenging without specialized tools, unlike text-based formats such as JSON which are inherently readable.
Compared to JSON, MessagePack has fewer third-party libraries, IDE integrations, and community tools, which can increase development effort for certain use cases.
Documentation is hosted externally on a wiki, which may be less maintained or fragmented than integrated docs, potentially leading to outdated or incomplete information.
Lacks built-in schema definition and validation mechanisms, requiring manual handling for data structure changes and increasing complexity for long-term maintenance.