Projects sharing features with Serde

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

jsmn is a lightweight JSON parser library written in C. It provides zero-copy tokenization and incremental parsing designed for use in embedded systems and memory-constrained environments. The library identifies structural JSON elements by providing offsets into the original string rather than allocating new memory for data. It uses a single-pass scanning method and requires static-buffer allocation, meaning the caller provides the memory for tokens to avoid dynamic allocation during the parsing process. The parser supports incremental streaming, allowing it to process JSON data in chunks fr

Moshi is a JSON serialization library and parser for Kotlin and Java. It functions as a reflectionless JSON encoder that converts typed objects to JSON strings and parses JSON data back into language objects. The library distinguishes itself through compile-time adapter generation, which removes the performance overhead associated with runtime reflection. It also provides a polymorphic JSON mapper that uses type identifiers to resolve and instantiate specific subclasses of a common base type. The framework supports custom adapter definitions for specialized type conversion, including nullabi

RON is a serializer and deserializer for a strongly typed, human-readable data exchange format. It mirrors Rust language syntax to represent complex data structures and configurations, serving as an alternative to formats like JSON and TOML. The format preserves native Rust type idioms, including enums, structs, tuples, and ranges. It supports inline comments and specialized numeric bases, allowing for the creation of typed configuration files and human-editable data storage. The library provides source-mapped error reporting to track character coordinates during syntax failures and includes

Nanopb is a lightweight C implementation of Protocol Buffers designed for resource-constrained systems and microcontrollers. It functions as both an embedded serialization library for encoding and decoding structured data and a code generator that transforms definition files into compact C source and header files. The project is distinguished by its focus on static memory allocation, using fixed maximum sizes for strings and arrays to avoid dynamic memory allocation and heap fragmentation. It employs a callback-based streaming mechanism to process messages or fields that exceed available phys

This library is a header-only C++ framework designed for the serialization, parsing, and manipulation of structured data. It provides a recursive variant data model that represents arbitrary structures as native types, allowing developers to navigate, modify, and patch hierarchical data using standard pointer paths and declarative update patterns. The project distinguishes itself through its template-based architecture, which enables type-safe data structures and custom type mapping at compile time. It offers a unified interface for binary format abstraction, supporting multiple compact repre

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

Fury is a multi-language binary serialization framework designed for encoding domain objects and complex graphs to facilitate cross-language data exchange. It includes an interface definition language compiler that translates schema definitions into idiomatic native types and serialization boilerplate across multiple languages. The project distinguishes itself through a zero-copy binary reader that allows specific fields to be accessed without deserializing the entire object, as well as an object graph serializer that preserves circular references and referential integrity. It also features a

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

Nim is a statically typed, compiled systems programming language designed for high performance and cross-platform development. It translates high-level source code into C, C++, or JavaScript, allowing developers to produce efficient native binaries or web-compatible scripts from a single codebase. The language emphasizes a clean, indentation-based syntax that simplifies code hierarchy while maintaining the power of a full-featured systems language. What distinguishes Nim is its robust metaprogramming framework, which allows developers to inspect, modify, and generate code structures during th

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.

rkyv is a zero-copy deserialization framework for Rust that provides a binary serialization format for memory-mappable data archives. It allows complex data structures to be mapped to bytes and accessed directly from a buffer without allocating new memory or copying data. The project enables the serialization of polymorphic types and trait objects, maintaining their dynamic behavior and structure within the binary form. It utilizes relative-pointer addressing and byte-aligned structure packing to ensure data remains valid regardless of where it is loaded in memory. The framework covers high-

JSON5 is a parser and serializer for a human-readable configuration format that extends JSON. It serves as a JavaScript-based data parser that allows for a more flexible version of the JSON specification to simplify manual editing of data files. The project provides capabilities to support comments, trailing commas, and multi-line strings. It includes utilities to convert this extended syntax into standard JSON for compatibility with tools requiring strict specifications. The library covers data serialization, string parsing, and structural syntax validation. It also provides integration for

F Prime is a component-based framework designed for the development and deployment of embedded and spaceflight software. It provides a modular architecture that decouples software logic from communication interfaces, allowing developers to define system structures through a domain-specific modeling language. This model-based approach enables automated code generation, ensuring consistency across complex system topologies while maintaining strict interface contracts between software modules. The framework distinguishes itself through its integrated build system and ground data operations suite

nom is a Rust parser combinator framework used to build complex parsers for binary and text data. It functions as an abstract syntax tree generator and a bit-level binary parser, allowing users to construct structured data by combining small, reusable parsing functions. The framework provides specialized support for zero-copy binary parsing, extracting data as slices from raw byte arrays to avoid memory allocations. It also includes a streaming data parser capable of processing partial input chunks from networks or files and signaling when additional input is required. The project covers a b

Store.js is a client-side state persistence library and web storage abstraction layer. It provides a consistent browser key-value storage wrapper that manages the persistence of application state across sessions using the most capable available local storage mechanism. The engine is extensible, allowing for the integration of custom storage backends and plugins to modify how data is read and written. It functions as a reactive web storage manager, monitoring specific keys to trigger notifications when stored values are updated. The library handles automatic data serialization for complex typ

MJExtension is a JSON serialization library and model mapping framework used to convert data between JSON strings and structured model objects. It functions as an object data mapper that handles the encoding and decoding of complex object hierarchies for network transmission and storage. The framework is a non-intrusive data mapper that uses reflection and runtime inspection to map raw data strings to application objects. This approach allows for data transformation without requiring base class inheritance, decorators, or extensions to the underlying model classes. The system supports recurs

Ajv is a high-performance data validation framework that compiles JSON schemas into optimized, standalone JavaScript functions. By transforming declarative schema definitions into executable code, it eliminates runtime interpretation overhead and provides a secure, efficient way to enforce data integrity across both browser and server environments. The library distinguishes itself through its focus on performance and type safety. It employs advanced compilation techniques, including abstract syntax tree optimization and function caching, to ensure rapid validation. Beyond standard checks, it

This project is a Protocol Buffers implementation for Go, providing a binary serialization framework to convert native data structures into a compact binary format for efficient network transmission and storage. It functions as a language bindings generator, utilizing a compiler plugin to create Go source code from platform-neutral protocol buffer definitions. The implementation includes a JSON data mapper that transforms structured binary messages into JSON format to facilitate compatibility with web services and external APIs. It also enables cross-language data exchange by using a common s

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

DataFrame is a C++ tabular data library and manipulation engine designed for managing heterogeneous data in contiguous memory. It functions as a statistical analysis framework and time series analysis toolkit, providing the means to store, index, and transform multidimensional datasets. The project distinguishes itself through a high-performance execution model that utilizes column-major storage, SIMD-aligned memory allocation, and a thread-pool for parallel computations. It employs a visitor-based algorithm dispatch system and policy-driven transformations to decouple data processing logic f

The Swift OpenAPI Generator is a build-time tool that produces type-safe Swift client and server code directly from OpenAPI specification documents. By integrating with build systems through native plugins, it automates the creation of strongly-typed interfaces and protocol stubs that map network operations to native methods, ensuring that application code remains strictly consistent with defined data schemas. The project distinguishes itself through a protocol-oriented architecture that decouples business logic from specific transport implementations. It utilizes a pluggable transport layer

Fory is a cross-language serialization framework and binary data serializer designed to convert complex object graphs into a compact binary format for high-performance data exchange. It includes an IDL-based schema compiler to transform interface definition language files into type-safe native data models and a schema evolution manager to maintain forward and backward compatibility. The project features a zero-copy data access layer that allows reading specific fields from binary rows without deserializing the entire object. It supports dual-mode serialization, enabling a toggle between a por

PapaParse is a delimited text processing library that converts CSV files into JSON objects or arrays. It provides a suite of tools for parsing delimited text and transforming structured data objects back into CSV formats through bidirectional serialization. The library is characterized by its ability to process massive datasets using incremental streaming and chunk-based processing to prevent memory overload. It includes an automatic delimiter detector to identify separator characters without manual configuration and utilizes web workers to offload parsing logic to background threads, keeping

tinygltf is a C++ library designed as a parser, serializer, and validation tool for 3D models in the glTF 2.0 binary and JSON formats. It functions as a streaming processor that can handle large 3D asset files incrementally through a callback-driven approach to reduce memory overhead. The library uses a header-only implementation to simplify integration. It employs memory mapping to map binary buffers directly into memory and utilizes a symmetric parse-write pipeline to maintain data consistency between reading and writing files. The system provides capabilities for 3D asset processing, incl

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

protobuf.js is a JavaScript and TypeScript library for encoding and decoding structured data using the Protocol Buffers binary format. It functions as a dynamic parser that can load and process schemas at runtime, a JSON transcoder for converting messages to human-readable formats, and a framework for building transport-agnostic remote procedure call clients. The project distinguishes itself by offering both dynamic message handling and a static code generator that produces TypeScript declarations and JavaScript modules to reduce runtime overhead. It also provides a reflection API for definin