Open-source alternatives to Jackson

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

Fastjson is a Java data binding framework and serialization library designed to convert objects to JSON strings and parse JSON data into typed objects. It functions as a JSON parser and stream processor capable of transforming JSON strings into data structures. The project emphasizes high performance JSON processing and memory management, specifically through the use of a pipeline to stream oversized JSON objects and texts to prevent memory exhaustion. It provides capabilities for JSON data serialization and deserialization workflows, including custom JSON data mapping and the ability to def

This project is a framework for the efficient serialization and deserialization of data structures. It provides a unified, macro-based interface that automates the conversion of complex internal objects into standardized formats and reconstructs them from raw input streams or buffers. By leveraging compile-time code generation, the library minimizes manual implementation overhead while ensuring consistent logic across diverse data types. The framework distinguishes itself through a format-agnostic data model and a visitor-based parsing architecture that decouples data structures from specific

JSONModel is a data modeling framework and serialization library for Apple platforms, including iOS, macOS, watchOS, and tvOS. It transforms JSON strings and dictionaries into typed Swift objects to eliminate manual dictionary parsing. The framework provides a mapping system that utilizes custom key rules and dot-notation to resolve nested data hierarchies. It supports the conversion of complex JSON structures into organized model relationships and manages the transformation of JSON arrays into collections of typed model instances. The toolset includes data type transformation via custom tra

The C++ REST SDK is a library for asynchronous HTTP and RESTful communication in native C++ applications. It provides a non-blocking network client for sending requests and receiving responses, a JSON parser for serializing and deserializing data, and a WebSocket client library for real-time, full-duplex communication. The project includes a dedicated OAuth2 authentication client to manage access tokens and authorization flows for secure communication with protected cloud resources. It utilizes a task-based asynchronous model to coordinate background operations and keep application interfaces

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

oboe.js is a streaming JSON parser and HTTP stream client designed for incremental data processing. It allows applications to act upon individual JSON objects as they arrive from a network request or readable stream before the entire download completes. The library functions as a JSON stream transformer, enabling the modification, filtering, and mapping of nodes on the fly. It features path-based node selection to trigger callbacks when specific patterns are matched and can terminate a network connection early once required data is found to save bandwidth. To handle datasets larger than avai

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

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

Protocol Buffers is a language-neutral, platform-agnostic mechanism for serializing structured data. It provides a schema-driven toolchain that compiles declarative data definitions into type-safe source code, enabling consistent communication and strongly typed API contracts across services written in different programming languages. The project distinguishes itself through a highly efficient binary wire format that utilizes tag-based encoding and variable-width integer compression to minimize payload size and processing overhead. It supports robust evolutionary schema management, allowing d

LibGDX is a Java-based framework designed for cross-platform game development, enabling the creation and deployment of 2D and 3D games across desktop, mobile, and web environments from a single codebase. It functions as a comprehensive library that abstracts hardware-accelerated graphics, audio, input, and file system access, providing a unified interface for developers to manage game logic and application lifecycles. The framework distinguishes itself through a high-performance architecture that prioritizes efficiency and native interoperability. It utilizes a batch-oriented graphics pipelin

This project is a comprehensive, curated directory of high-quality libraries, tools, and educational resources for C and C++ development. It serves as an ecosystem discovery index, helping developers navigate the vast landscape of third-party components, frameworks, and technical documentation available for the language. The collection is distinguished by its focus on high-performance systems programming and technical mastery. It provides deep coverage of specialized domains including SIMD-accelerated data processing, compile-time template metaprogramming, and asynchronous event-driven archit

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

HandyJSON is a Swift JSON serialization library and data mapper. It functions as an object mapper that converts JSON data into typed Swift models and transforms Swift objects back into JSON strings for storage or transmission. The library uses reflection to automatically map JSON keys to object properties and supports custom mapping metadata to resolve naming differences between APIs and code. It provides capabilities for extracting values from deep nested paths within a JSON structure and supports the transformation of complex types such as dates and URLs. The framework handles both the des

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

JSONKit is an Objective-C library used for parsing, serializing, and manipulating JSON data. It functions as a JSON parser that converts text into native data structures and a serializer that transforms native objects into formatted JSON text. The library includes a gzip compression wrapper that compresses serialized JSON payloads to reduce network transfer sizes and automatically detects and decompresses gzip buffers before decoding. The toolset provides capabilities for JSON parsing and serialization, supporting customizable indentation, character escaping, and flexible comment handling.

ArduinoJson is a C++ library for parsing and manipulating JSON data and MessagePack binary streams on microcontrollers with limited memory and processing power. It provides the core primitives necessary for embedded data serialization and parsing, enabling devices to exchange structured data over serial or network interfaces. The library is distinguished by its focus on microcontroller memory management, employing strategies such as pool-based allocation, string deduplication, and non-owning string views to minimize RAM usage. It further optimizes for constrained environments by allowing cons

Apache Flink is a distributed processing engine designed for both high-throughput, low-latency data streams and finite batch workloads. It functions as a stateful stream processor and a SQL stream processing engine, providing a unified runtime to execute relational queries and event-based transformations. The system is distinguished by its ability to manage persistent operator state to ensure exactly-once processing guarantees and consistency during failures. It features specialized capabilities for complex event processing to detect temporal patterns and handles out-of-order events using eve

Mantle is a framework for mapping raw data structures and JSON into typed model objects for Cocoa and Cocoa Touch applications. It serves as a data serialization engine and JSON data mapper that transforms dictionaries and arrays into structured model objects. The framework distinguishes itself through an Objective-C persistence layer that manages model disk archiving via keyed archivers. It includes specialized logic for model version management, allowing outdated archived data structures to be upgraded to match current schemas during deserialization. The project covers a broad range of dat

Newtonsoft.Json is a data processing utility for the .NET ecosystem designed to facilitate the transformation and exchange of information. It functions as a serialization library and object mapping framework, enabling the conversion of complex application objects into formatted JSON strings and the reconstruction of structured objects from raw JSON data. The library distinguishes itself through a flexible architecture that supports both strongly-typed class mapping and a dynamic object model for schema-less data manipulation. It employs reflection-based metadata mapping to automate property a

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

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

node-fs-extra is a Node.js file system extension that provides a set of additional methods to simplify common file and directory operations. It functions as a recursive directory manager, a JSON file processor, and a file asset manipulator, extending the standard library to provide high-level utilities for managing assets on disk. The project distinguishes itself through recursive capabilities, such as duplicating or removing nested folder structures and ensuring that all missing parent directories are automatically generated when creating files or symbolic links. It also integrates a JSON se

Miller is a command-line data processor used for filtering, transforming, and aggregating name-indexed tabular data. It functions as a tool for querying and reshaping records across multiple file formats, serving as a converter between CSV, JSON, and YAML. The tool distinguishes itself by using a name-indexed data model, allowing users to manipulate fields by name rather than numeric position. It utilizes single-pass streaming algorithms to compute statistics and summaries on large datasets that exceed available system memory. Its capabilities cover data transformation and analysis, includin

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.

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