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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
This library is a high-performance JSON processing tool for Java designed to handle data serialization and deserialization with minimal resource consumption. It provides a framework for transforming complex object graphs into JSON strings and mapping raw input directly to typed class properties. The library distinguishes itself by utilizing compile-time code generation and reflection-free mapping to eliminate expensive runtime overhead. By employing iterator-based stream parsing and zero-allocation buffer management, it processes large or deeply nested data structures while reducing garbage c
Moshi is a JSON serialization library and parser for Kotlin and Java. It functions as a reflectionless JSON encoder that converts typed objects to JSON strings and parses JSON data back into language objects. The library distinguishes itself through compile-time adapter generation, which removes the performance overhead associated with runtime reflection. It also provides a polymorphic JSON mapper that uses type identifiers to resolve and instantiate specific subclasses of a common base type. The framework supports custom adapter definitions for specialized type conversion, including nullabi
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
easyjson is a high-performance JSON serializer and memory-optimized parser for Go. It provides a reflectionless code generator that creates static Go methods for marshaling and unmarshaling data, eliminating the need for runtime reflection to improve execution speed.
The main features of mailru/easyjson are: High-Performance JSON Encoders, JSON-to-Object Mappers, Reflectionless Encoders, JSON Serializers, Reflectionless Code Generators, Marshaling Code Generators, Memory-Efficient Parsing, JSON Memory Optimizations.
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… json-iterator/java — This library is a high-performance JSON processing tool for Java designed to handle data serialization and… square/moshi — Moshi is a JSON serialization library and parser for Kotlin and Java. It functions as a reflectionless JSON encoder… json-iterator/go — This project is a high-performance JSON library for Go, serving as a replacement for the standard encoding/json… tencent/rapidjson — RapidJSON is a header-only C++ library designed for high-performance parsing, generation, and manipulation of JSON… alibaba/fastjson2 — fastjson2 is a high-performance Java library used for serializing and deserializing Java objects to and from JSON…