yyjson is a high-performance C library for parsing, serializing, and manipulating JSON data structures. It functions as a memory-efficient data tool that utilizes custom memory pools and contiguous block allocation to minimize fragmentation and overhead. The project distinguishes itself as a SIMD JSON processor, using hardware-accelerated vector instructions for rapid string validation and parsing. It provides a toolkit for querying, modifying, and patching nested JSON objects and arrays through pointer-based access and path expressions. The library covers a broad range of data manipulation
Ultrajson is a high-performance Python JSON library and C-based parser designed to minimize parsing overhead. It provides a C implementation of the JSON specification to enable fast encoding and decoding of data. The project functions as a concurrent JSON processor, supporting multi-threaded serialization and deserialization to increase data throughput and prevent blocking execution. Its capabilities cover Python data serialization and high-performance JSON processing for real-time data pipelines. This includes parsing JSON data and serializing native objects into JSON strings.
Fastjson is a Java data binding framework and serialization library designed to convert objects to JSON strings and parse JSON data into typed objects. It functions as a JSON parser and stream processor capable of transforming JSON strings into data structures. The project emphasizes high performance JSON processing and memory management, specifically through the use of a pipeline to stream oversized JSON objects and texts to prevent memory exhaustion. It provides capabilities for JSON data serialization and deserialization workflows, including custom JSON data mapping and the ability to def
This project is a high-performance JSON library for Go, serving as a replacement for the standard encoding/json package. It provides a serialization engine for encoding and decoding data structures, alongside a schemaless parser for extracting specific values from JSON blobs using paths. The library distinguishes itself through a focus on reducing CPU and memory overhead. It implements a high-performance encoder that utilizes buffer reuse and reduced float precision to increase data throughput. Broad capability areas include data serialization, high-performance JSON processing, and schema-le
UltraJSON 是一个用 C 编写的高性能 JSON 库和解析器,具有 Python 绑定。它提供了一种标准 JSON 处理的快速替代方案,用于将 JSON 字符串解码为原生数据结构,并将数据结构编码回 JSON 字符串。
esnme/ultrajson 的主要功能包括:JSON Data Parsers, JSON Parsers, High-Performance JSON Encoders, High-Performance Parsers, JSON Serializers, C Libraries, C++ Implementations, C Bindings。
esnme/ultrajson 的开源替代品包括: ibireme/yyjson — yyjson is a high-performance C library for parsing, serializing, and manipulating JSON data structures. It functions… ultrajson/ultrajson — Ultrajson is a high-performance Python JSON library and C-based parser designed to minimize parsing overhead. It… alibaba/fastjson — Fastjson is a Java data binding framework and serialization library designed to convert objects to JSON strings and… json-iterator/go — This project is a high-performance JSON library for Go, serving as a replacement for the standard encoding/json… simdjson/simdjson — simdjson is a high-performance, header-only C++ library designed for parsing, querying, and serializing JSON data with… ijl/orjson — orjson is a high-performance Python library for serializing and deserializing JSON data. It functions as both a JSON…