Protocol Buffers 是一种语言中立、平台无关的结构化数据序列化机制。它提供了一个模式驱动的工具链，将声明式数据定义编译为类型安全的源代码，从而在不同编程语言编写的服务之间实现一致的通信和强类型的 API 契约。
protocolbuffers/protobuf 的主要功能包括：Schema Definition, Data Serialization, Protocol Buffers, Tag-Based Binary Encodings, Schema-Driven Code Generators, API Contract Definitions, Enumeration Types, Cross-Language Serialization Frameworks。
protocolbuffers/protobuf 的开源替代品包括： google/protobuf — Protocol Buffers is a binary serialization framework used to encode structured information into compact payloads to… fasterxml/jackson — Jackson is a Java data binding framework and multi-format data serializer used to translate data structures into… alipay/fury — Fury is a multi-language binary serialization framework designed for encoding domain objects and complex graphs to… apache/fory — Fory is a cross-language serialization framework and binary data serializer designed to convert complex object graphs… cognitect/transit-format — Transit is a language-agnostic data interchange format designed for serializing complex data structures between… protobufjs/protobuf.js — protobuf.js is a JavaScript and TypeScript library for encoding and decoding structured data using the Protocol…
Protocol Buffers is a binary serialization framework used to encode structured information into compact payloads to reduce network bandwidth and storage. It functions as a cross-language data interchange standard that enables different platforms and languages to exchange structured data using a shared schema. The project includes an interface definition language compiler that transforms schema definitions into type-safe source code for multiple target programming languages. This mechanism decouples data structures from specific language memory layouts and ensures consistent data handling acro
Jackson is a Java data binding framework and multi-format data serializer used to translate data structures into native language objects. It functions as a JSON data binding library and a streaming parser that reads and writes data as discrete tokens to process large datasets with minimal memory. The project distinguishes itself through a bytecode serialization accelerator that replaces standard reflection with generated bytecode to increase data binding speed. It employs a module-based extensibility model to support a wide range of formats beyond JSON, including XML, YAML, CSV, TOML, and bin
Fury is a multi-language binary serialization framework designed for encoding domain objects and complex graphs to facilitate cross-language data exchange. It includes an interface definition language compiler that translates schema definitions into idiomatic native types and serialization boilerplate across multiple languages. The project distinguishes itself through a zero-copy binary reader that allows specific fields to be accessed without deserializing the entire object, as well as an object graph serializer that preserves circular references and referential integrity. It also features a
Fory is a cross-language serialization framework and binary data serializer designed to convert complex object graphs into a compact binary format for high-performance data exchange. It includes an IDL-based schema compiler to transform interface definition language files into type-safe native data models and a schema evolution manager to maintain forward and backward compatibility. The project features a zero-copy data access layer that allows reading specific fields from binary rows without deserializing the entire object. It supports dual-mode serialization, enabling a toggle between a por