FasterXML/jackson

Features

• JSON-to-Model Mappers - Provides a programmable mapper for transforming JSON structures into typed Java model objects.
• JSON Serialization - Provides core utilities for converting data objects to JSON and parsing JSON responses back into objects.
• Serialization and Formats - Acts as a multi-format serialization framework supporting JSON, XML, YAML, CSV, and binary formats.
• Bytecode Serialization Accelerators - Uses bytecode generation instead of reflection to significantly increase the speed of data binding.
• Pluggable Format Deserializers - Provides pluggable interfaces to convert incoming data streams from multiple formats like XML and YAML into typed objects.
• JSON Serializers - Ships a powerful mapper that converts application data into JSON format for storage or API responses.
• Stream Processing - Processes data as a continuous stream of events to minimize memory usage when handling large datasets.
• Data Serialization Formats - Implements a broad system for encoding structured data into multiple formats including JSON, XML, YAML, and binary.
• Object Serializers - Implements format-agnostic serialization to convert objects into various data formats and back.
• Incremental Data Streaming - Provides memory-efficient processing of large datasets by reading and writing data as incremental streams of tokens.
• Large Dataset Streaming - Handles massive files through incremental streaming to minimize memory overhead during deserialization.
• JSON Serialization Libraries - Offers a programmable mapper for converting Java objects to and from JSON format.
• JSON - Implements a low-level streaming parser for incremental processing of large JSON datasets.
• Token-Based Stream Parsing - Processes data as a continuous sequence of discrete tokens to handle large datasets without loading them into memory.
• Token-Based Streaming Parsers - Jackson reads and writes individual data tokens one by one to avoid loading entire datasets into memory.
• Multi-Format Message Serialization - Supports multiple data serialization formats for the same object model using specialized generators and parsers.
• Data Binding Frameworks - Provides a comprehensive system for translating various data structures into native Java objects.
• Runtime Accessor Generation - Increases data binding speed by generating bytecode for field and method access instead of using reflection.
• Serialization Control - Uses annotations to specify how fields are formatted, renamed, or included during data conversion.
• Bytecode-Accelerated Data Mapping - Accelerates the conversion between objects and data formats by replacing reflection with generated bytecode.
• Bytecode-Generated Accessors - Accelerates the reading and writing of object fields by replacing standard reflection with generated bytecode.
• Module-Based Extensions - Uses a plug-in architecture to add support for diverse data formats like XML, YAML, and binary standards.
• Annotation-Based Bindings - Maps data fields to object properties using annotations to control naming, exclusion, and formatting rules.
• Code-to-Schema Generation - Produces external JSON or Avro schema definitions by analyzing internal Java class structures and markers.
• CSV Parsers - Provides libraries for reading and writing comma-separated value data files.
• CSV Processing - Includes utilities for parsing and serializing tabular CSV data, including header and empty row handling.
• JSON-Schema - Creates JSON schema definitions from data models to validate the structure of incoming documents.
• XML Parsers - Includes capabilities for mapping Java objects to and from XML using namespaces and attributes.
• Protocol Buffers - Serializes and deserializes data using the Protocol Buffers compact binary format.
• YAML Parsers - Provides utilities for reading and writing YAML data, including support for custom tags and numeric notations.
• Hierarchical Data Models - Models data as a hierarchical tree of nodes for programmatic navigation without requiring full object mapping.
• High-Performance Binary Serialization - Performs high-performance serialization and deserialization using the Smile binary JSON format.
• JSON Document Manipulation - Enables navigating and modifying JSON elements in a tree-based representation using programmatic pointers.
• Schema Generators - Produces external schema definitions by analyzing internal class structures and their associated markers.
• Object Serialization - Maps objects to and from the Apache Avro serialization system.
• Intermediate Representations - Represents data as a hierarchical node structure for programmatic manipulation without requiring full object mapping.
• Circular Reference Detection - Tracks and resolves circular dependencies or forward-referenced values within data arrays during the binding process.
• Library Extension Modules - Uses specialized modules to handle data types from popular third-party utility libraries.
• Code-to-Schema Analysis - Analyzes internal class structures and markers to generate external data validation schemas.
• Content Negotiation - Provides content negotiation utilities for mapping HTTP request and response bodies to native objects in JAX-RS and Jakarta-RS.
• JSON Processing - Comprehensive library for JSON data binding and processing.
• Data Serialization - High-performance JSON processor.

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