Awesome GitHub RepositoriesData Serialization Libraries

SheetJS is a comprehensive library for parsing, manipulating, and generating complex spreadsheet file formats. It functions as a universal data processor that maps diverse binary, XML, and text-based file structures into a unified internal object model, allowing developers to create, read, and transform workbook data programmatically. The library distinguishes itself through a portable logic layer that provides a consistent execution environment across web browsers, server-side runtimes, and native desktop or mobile applications. By utilizing stream-based processing, it handles large files in

This project is a framework for the efficient serialization and deserialization of data structures. It provides a unified, macro-based interface that automates the conversion of complex internal objects into standardized formats and reconstructs them from raw input streams or buffers. By leveraging compile-time code generation, the library minimizes manual implementation overhead while ensuring consistent logic across diverse data types. The framework distinguishes itself through a format-agnostic data model and a visitor-based parsing architecture that decouples data structures from specific

POCO is a comprehensive C++ application framework that provides a cross-platform set of libraries for building network-centric applications. It offers a unified abstraction layer that wraps platform-specific APIs, enabling the same code to run across desktop, server, mobile, IoT, and embedded systems. The framework is organized into modular libraries that can be compiled and linked selectively, allowing developers to include only the components their application needs. The framework distinguishes itself through its broad coverage of application infrastructure needs, including threading and sy

ArduinoJson is a C++ library for parsing and manipulating JSON data and MessagePack binary streams on microcontrollers with limited memory and processing power. It provides the core primitives necessary for embedded data serialization and parsing, enabling devices to exchange structured data over serial or network interfaces. The library is distinguished by its focus on microcontroller memory management, employing strategies such as pool-based allocation, string deduplication, and non-owning string views to minimize RAM usage. It further optimizes for constrained environments by allowing cons

该项目是一个 Swift 标准库扩展和跨平台系统库。它提供了一系列核心实用类型和基础数据结构，扩展了 Swift 基础语言，并作为处理网络和文件系统等系统操作的独立于操作系统的接口层。 该项目具有专门的 C++ 互操作层，将 C++ 类型和函数映射为兼容的 Swift 接口，以实现跨语言通信。这包括一个处理标准库类型和外部容器的桥接机制，允许将 C++ 类型映射为引用类型或值类型，以同步内存管理和语义。 其广泛的功能包括用于编码和解码 JSON 等结构化数据的序列化，以及用于管理区域感知格式、日历和区域设置的国际化框架。它还提供了用于处理 URL 和原始二进制数据的核心数据管理功能。

Nanopb is a lightweight C implementation of Protocol Buffers designed for resource-constrained systems and microcontrollers. It functions as both an embedded serialization library for encoding and decoding structured data and a code generator that transforms definition files into compact C source and header files. The project is distinguished by its focus on static memory allocation, using fixed maximum sizes for strings and arrays to avoid dynamic memory allocation and heap fragmentation. It employs a callback-based streaming mechanism to process messages or fields that exceed available phys

This is a TOML parser and serializer for the Go language. It serves as a data serialization library and configuration file mapper that encodes and decodes data between Go structures and the TOML configuration format. The library provides interfaces for custom type marshaling, allowing for specialized logic when parsing or serializing specific data types. It transforms structured objects into deterministic TOML documents for storage or transmission. The project covers a broad range of data processing capabilities, including structured value encoding, TOML data generation, and metadata inspect