Gson is a Java library designed for the serialization and deserialization of objects into structured text formats. It functions as a reflection-based data mapper, inspecting class structures at runtime to automatically convert memory-resident objects into data representations and reconstruct them back into typed language objects. The library distinguishes itself through a modular type-adapter pattern that allows for custom conversion rules for complex or nested structures. It also provides robust support for production environments by generating build-time metadata and configuration rules, wh
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
Jackson is a Java data binding framework and multi-format data serializer used to translate data structures into native language objects. It functions as a JSON data binding library and a streaming parser that reads and writes data as discrete tokens to process large datasets with minimal memory. The project distinguishes itself through a bytecode serialization accelerator that replaces standard reflection with generated bytecode to increase data binding speed. It employs a module-based extensibility model to support a wide range of formats beyond JSON, including XML, YAML, CSV, TOML, and bin
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
faster JSON serialization for Go
The main features of pquerna/ffjson are: JSON Processing, Data Serialization.
Open-source alternatives to pquerna/ffjson include: json-iterator/go — This project is a high-performance JSON library for Go, serving as a replacement for the standard encoding/json… square/moshi — Moshi is a JSON serialization library and parser for Kotlin and Java. It functions as a reflectionless JSON encoder… fasterxml/jackson — Jackson is a Java data binding framework and multi-format data serializer used to translate data structures into… google/gson — Gson is a Java library designed for the serialization and deserialization of objects into structured text formats. It… ibireme/yyjson — yyjson is a high-performance C library for parsing, serializing, and manipulating JSON data structures. It functions… java-json-tools/json-schema-validator — This library is a Java-based tool for enforcing data structure constraints and verifying technical formats against…