RapidJSON is a high-performance C++ library used for parsing and generating JSON data. It provides both document object model and stream-based interfaces to transform JSON strings into structured data and vice versa. The library includes a JSON schema validator to verify that documents conform to predefined rules and a Unicode transcoder for converting strings between UTF-8, UTF-16, and UTF-32 encodings. It also supports relaxed parsing for non-standard JSON containing comments or trailing commas. Additional capabilities cover JSON pointer navigation for locating specific values and string s
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
This is a Rust serialization library for converting data structures to and from JSON strings and byte streams. It is built as a framework within the Serde ecosystem, providing both a strongly typed parser for compile-time safety and a recursive value tree for manipulating JSON data without a predefined schema. The project supports both typed and untyped processing. It can map JSON data into specific Rust types for schema conformity or parse input into a flexible, schemaless representation. It also includes macro-based utilities for the dynamic construction of JSON objects.
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
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.
Las características principales de json-iterator/go son: High-Performance Parsers, JSON Serialization, Value Extraction, JSON Parsing, High-Performance JSON Encoders, Schema-less Extraction, JSON Serialization Libraries, Go Performance Optimization.
Las alternativas de código abierto para json-iterator/go incluyen: miloyip/rapidjson — RapidJSON is a high-performance C++ library used for parsing and generating JSON data. It provides both document… json-iterator/java — This library is a high-performance JSON processing tool for Java designed to handle data serialization and… serde-rs/json — This is a Rust serialization library for converting data structures to and from JSON strings and byte streams. It is… ultrajson/ultrajson — Ultrajson is a high-performance Python JSON library and C-based parser designed to minimize parsing overhead. It… ijl/orjson — orjson is a high-performance Python library for serializing and deserializing JSON data. It functions as both a JSON… alibaba/fastjson — Fastjson is a Java data binding framework and serialization library designed to convert objects to JSON strings and…