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.
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.
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
orjson is a high-performance Python library for serializing and deserializing JSON data. It functions as both a JSON parsing library and a serialization engine, converting data between native Python objects and UTF-8 encoded bytes. The project provides specialized support for converting complex Python data structures, including dataclasses, datetime objects, and NumPy arrays and scalars, into JSON format. It also allows for the insertion of pre-serialized JSON blobs into documents to maintain processing speed. The library includes capabilities for memory-efficient deserialization through key
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.
الميزات الرئيسية لـ ibireme/yyjson هي: JSON Parsers, High-Performance Parsers, JSON Document Manipulation, JSON Pointers, JSON Serializers, Hardware-Accelerated JSON Processing, Pool Allocators, Memory-Efficient Parsing.
تشمل البدائل مفتوحة المصدر لـ ibireme/yyjson: ultrajson/ultrajson — Ultrajson is a high-performance Python JSON library and C-based parser designed to minimize parsing overhead. It… esnme/ultrajson — UltraJSON is a high-performance JSON library and parser written in C with bindings for Python. It provides a fast… tencent/rapidjson — RapidJSON is a header-only C++ library designed for high-performance parsing, generation, and manipulation of JSON… ijl/orjson — orjson is a high-performance Python library for serializing and deserializing JSON data. It functions as both a JSON… mailru/easyjson — easyjson is a high-performance JSON serializer and memory-optimized parser for Go. It provides a reflectionless code… buger/jsonparser — jsonparser is a Go library for parsing, extracting, and modifying JSON data by key path without requiring predefined…