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SwiftyJSON is a Swift JSON parsing library and data wrapper designed to simplify the reading and manipulation of JSON structures. It provides a toolkit for converting raw JSON strings into structured formats without requiring manual type casting or optional chaining for every value.
The main features of swiftyjson/swiftyjson are: Subscript-Based Data Accessors, Data Extraction, JSON, Data Wrappers, JSON Data Parsers, JSON Handling Utilities, JSON Serialization Libraries, Object Hierarchy Navigation.
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… alibaba/fastjson — Fastjson is a Java data binding framework and serialization library designed to convert objects to JSON strings and… insanoid/swiftyjsonaccelerator — macOS app to generate Swift 5 code for models from JSON (with Codeable). delba/jason — Fast JSON parsing for Swift. tidwall/gjson — gjson is a Go JSON parser designed for schema-less reading and value extraction. It allows for the retrieval of… davegamble/cjson — cJSON is a lightweight library for parsing, creating, and modifying JSON data structures within C applications. It…
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
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
macOS app to generate Swift 5 code for models from JSON (with Codeable)