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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
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
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
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
go-json is a high-performance JSON serialization library for Go that serves as an encoder and decoder replacement for the standard library. It provides tools to convert native data structures to and from JSON format with optimized processing speeds.
The main features of goccy/go-json are: High-Performance JSON Encoders, Go JSON Libraries, Conditional Serializers, JIT-Accelerated Encoders, Token-Based Stream Parsing, Serialization Field Filtering, Field Filtering, Reflection-Based Data Mapping.
Open-source alternatives to goccy/go-json include: mailru/easyjson — easyjson is a high-performance JSON serializer and memory-optimized parser for Go. It provides a reflectionless code… json-iterator/go — This project is a high-performance JSON library for Go, serving as a replacement for the standard encoding/json… fasterxml/jackson — Jackson is a Java data binding framework and multi-format data serializer used to translate data structures into… bytedance/sonic — Sonic is a high-performance Go JSON serialization library that provides tools for encoding and decoding native data… square/moshi — Moshi is a JSON serialization library and parser for Kotlin and Java. It functions as a reflectionless JSON encoder… protobufjs/protobuf.js — protobuf.js is a JavaScript and TypeScript library for encoding and decoding structured data using the Protocol…