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5 个仓库

Awesome GitHub RepositoriesSerialization Formats

Libraries and standards for encoding data structures for storage or transmission.

Explore 5 awesome GitHub repositories matching part of an awesome list · Serialization Formats. Refine with filters or upvote what's useful.

Awesome Serialization Formats GitHub Repositories

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  • protocolbuffers/protobufprotocolbuffers 的头像

    protocolbuffers/protobuf

    71,359在 GitHub 上查看↗

    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。 该项目以其高效的二进制线路格式脱颖而出,该格式利用基于标签的编码和变宽整数压缩来最小化有效载荷大小和处理开销。它支持稳健的演进式模式管理,允许开发者在保持向后和向前兼容性的同时增量更新数据结构。这得到了版本化版本系统的进一步支持,该系统管理跨分布式软件组件的功能集和序列化逻辑。 除了核心二进制序列化外,该项目还包括用于模式验证的规范 JSON 转换、细粒度的符号可见性控制以及用于区分默认值和未设置值的字段存在性跟踪功能。它还提供专门的优化,例如 C++ 实现中基于竞技场(arena)的内存管理,以提高创建和清理复杂消息树时的性能。

    Language-neutral mechanism for serializing structured data.

    C++marshallingprotobufprotobuf-runtime
    在 GitHub 上查看↗71,359
  • google/snappygoogle 的头像

    google/snappy

    6,582在 GitHub 上查看↗

    Snappy is a high-performance lossless compression library implemented in C++. It provides data reduction methods that perfectly restore original information, focusing on system-level efficiency and processing velocity across different platforms. The library prioritizes high-speed data compression and decompression over achieving the maximum possible compression ratio. It is designed for real-time stream compression to reduce bandwidth usage without introducing significant processing latency. The implementation covers high-velocity data shrinking and rapid restoration. It includes resilient d

    Provides high-speed data compression for storage and transmission.

    C++
    在 GitHub 上查看↗6,582
  • esotericsoftware/kryoEsotericSoftware 的头像

    EsotericSoftware/kryo

    6,529在 GitHub 上查看↗

    Kryo is a Java binary serialization framework and object cloning library used to convert Java objects into a compact binary format and restore them from bytes. It provides a system for creating deep or shallow copies of complex object graphs without requiring binary conversion. The project utilizes variable-length integer encoding and integer-ID class registration to reduce the size of serialized data. It handles complex object graphs through circular reference tracking to prevent data duplication and infinite loops. To maintain long-term data viability, it includes schema evolution managemen

    Efficient object graph serialization for Java applications.

    HTML
    在 GitHub 上查看↗6,529
  • impossibleforge/pfc-jsonlImpossibleForge 的头像

    ImpossibleForge/pfc-jsonl

    5在 GitHub 上查看↗

    Cold storage that queries like hot storage. High-ratio JSONL compressor with block-level random access. Query cold storage in seconds — no restore, no full decompression. 5–13% ratio on JSONL logs, 25–57% smaller than gzip. 1-hour window via DuckDB in under 6s. Free for personal and open-source use.

    Optimized JSONL compression with block-level indexing for fast queries.

    在 GitHub 上查看↗5
  • hmakt99/akfHMAKT99 的头像

    HMAKT99/AKF

    8在 GitHub 上查看↗

    The AI native file format — trust scores, provenance, and compliance metadata that embed into every file your AI touches. pip install akf

    Embeds provenance and compliance metadata into various file formats.

    Python
    在 GitHub 上查看↗8
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