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Newtonsoft.Json is a data processing utility for the .NET ecosystem designed to facilitate the transformation and exchange of information. It functions as a serialization library and object mapping framework, enabling the conversion of complex application objects into formatted JSON strings and the reconstruction of structured objects from raw JSON data.
The main features of jamesnk/newtonsoft.json are: JSON Serialization Libraries, JSON Serializers, JSON Data Parsers, Data Access and Processing, Serialization, Serialization Libraries, Object Mapping Frameworks, Stream Parsing Utilities.
Projects with overlapping indexed features include: bytedance/sonic — Sonic is a high-performance Go JSON serialization library that provides tools for encoding and decoding native data… google/flatbuffers — FlatBuffers is a cross-platform serialization library designed for performance-critical applications that require… alibaba/fastjson — Fastjson is a Java data binding framework and serialization library designed to convert objects to JSON strings and… tristanhimmelman/objectmapper — ObjectMapper is a JSON serialization framework for Swift that maps JSON strings and dictionaries into strongly typed… fasterxml/jackson — Jackson is a Java data binding framework and multi-format data serializer used to translate data structures into… ijl/orjson — orjson is a high-performance Python library for serializing and deserializing JSON data. It functions as both a JSON…
Sonic is a high-performance Go JSON serialization library that provides tools for encoding and decoding native data structures. It functions as a JIT-accelerated encoder, a JSON AST parser, a stream processor, and a lazy decoder. The project utilizes just-in-time machine code generation to optimize the encoding of large data schemas and employs a JIT assembler to maximize serialization and deserialization speeds. It features a precompiled schema warmup process to prevent latency spikes during initial execution and leverages SIMD hardware instructions for accelerated parsing. The library cove
FlatBuffers is a cross-platform serialization library designed for performance-critical applications that require efficient, zero-copy data access. By organizing data in a structured binary format, it allows applications to read and write complex data structures directly from memory-mapped buffers without the need for intermediate parsing or temporary object allocation. The project distinguishes itself through a schema-driven approach that balances high-performance access with long-term data evolution. It utilizes a unique memory layout featuring relative offsets and inline fixed-size structu
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
ObjectMapper is a JSON serialization framework for Swift that maps JSON strings and dictionaries into strongly typed classes and structs. It functions as a data mapper and converter, facilitating the bidirectional transformation of data between raw JSON and Swift model objects. The library uses protocol-based mapping to associate specific JSON keys with object properties. It supports nested key extraction via dot-notation pathing and employs custom transformation classes to bridge the gap between JSON and Swift types. The framework provides capabilities for model validation during initializa