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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
RapidJSON is a header-only C++ library designed for high-performance parsing, generation, and manipulation of JSON data. It functions as a dual-mode engine, providing both an in-memory document object model for tree-based manipulation and a stream-based interface for event-driven processing. The library is built to minimize memory footprint and maximize execution speed, making it suitable for resource-constrained environments. The library distinguishes itself through advanced memory management and optimization techniques, including in-situ parsing that modifies input buffers directly to elimi
UltraJSON is a high-performance JSON library and parser written in C with bindings for Python. It provides a fast alternative to standard JSON processing for decoding JSON strings into native data structures and encoding data structures back into JSON strings. The library utilizes a C-based engine to reduce processing latency and increase throughput for JSON generation and parsing. It is designed to accelerate data pipelines and optimize the handling of JSON payloads.
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 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 main features of ultrajson/ultrajson are: High-Performance Parsers, JSON Parsers, JSON Serializers, JSON Parsing, Python Serialization Libraries, JSON Encoding, JSON Processors, Real-Time Data Processors.
Projects with overlapping indexed features include: ibireme/yyjson — yyjson is a high-performance C library for parsing, serializing, and manipulating JSON data structures. It functions… tencent/rapidjson — RapidJSON is a header-only C++ library designed for high-performance parsing, generation, and manipulation of JSON… esnme/ultrajson — UltraJSON is a high-performance JSON library and parser written in C with bindings for Python. It provides a fast… lemire/simdjson — simdjson is a high-performance JSON parser that utilizes SIMD instructions to process gigabytes of data per second. It… json-iterator/go — This project is a high-performance JSON library for Go, serving as a replacement for the standard encoding/json… alibaba/fastjson — Fastjson is a Java data binding framework and serialization library designed to convert objects to JSON strings and…