stleary/JSON-java

YYModel is a JSON model mapping library and bidirectional data mapper designed to transform raw JSON data into structured model objects and vice versa. It functions as a type-safe JSON parser that employs automatic type coercion to prevent application crashes caused by incompatible data types during the parsing process. The framework uses runtime introspection to map JSON keys to model properties based on naming rules and explicit configurations. It supports the instantiation of nested model objects through recursive traversal of the data hierarchy and provides a consistent translation layer

VBA-JSON is a library designed for parsing and serializing JSON data within Visual Basic for Applications environments. It functions as an office automation data library, enabling legacy Microsoft Office applications to process structured data and interact with modern web services. The tool converts raw JSON text into native objects and collections, allowing developers to access and manipulate data using standard indexing and iteration methods. It also performs the reverse operation, transforming native language structures into JSON-compliant strings for exchange with external systems. By ha

fastjson2 is a high-performance Java library used for serializing and deserializing Java objects to and from JSON strings and byte arrays. It functions as a binary JSON serializer for encoding objects into optimized binary formats to reduce payload size and increase processing speed. The project includes a JSONPath query engine for extracting specific data and fields from JSON documents using standardized path expressions and filters. It also serves as a JSON schema validator, providing utilities to generate data contracts and validate JSON input against defined schemas to ensure structural c

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 library reduces CPU and memory overhead through several optimization strategies. It employs a system of reusable memory buffer pools to minimize heap allocations and garbage collection pressure. Additionally, it utilizes string interning to deduplicate repeated values and zero-copy string referencing to point to existing buff