What does fasterxml/jackson-databind do?

Jackson-databind is a Java serialization framework and JSON data binding library used to convert Java objects to JSON and vice versa. It functions as a JSON streaming API that generates and parses content as a sequence of tokens, and as a hierarchical data tree mapper that reads data into a node structure for dynamic modification without predefined classes.

What are the main features of fasterxml/jackson-databind?

The main features of fasterxml/jackson-databind are: JSON and Data Parsing, Token-Based Streaming Parsers, Data Format Converters, Token-Based Stream Parsers, Incremental Data Streaming, Serialization Frameworks, Token-Based Data Streaming, JSON Libraries.

What are some open-source alternatives to fasterxml/jackson-databind?

Open-source alternatives to fasterxml/jackson-databind include: fasterxml/jackson — Jackson is a Java data binding framework and multi-format data serializer used to translate data structures into… mantle/mantle — Mantle is a framework for mapping raw data structures and JSON into typed model objects for Cocoa and Cocoa Touch… obuchiyuki/devtoysmac — DevToysMac is a native macOS developer utility suite designed to encode, decode, and transform common data formats. It… alibaba/fastjson2 — fastjson2 is a high-performance Java library used for serializing and deserializing Java objects to and from JSON… ibireme/yymodel — YYModel is a JSON model mapping library and bidirectional data mapper designed to transform raw JSON data into… hazelcast/hazelcast — Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to…

Jackson Databind - map Java objects to JSON

Jackson Databind - map Java objects to JSON | Awesome Repos

Features

JSON and Data Parsing - Provides comprehensive capabilities for parsing, serializing, and binding Java objects to JSON data.
Token-Based Streaming Parsers - Functions as a low-level token-based streaming parser that processes data streams incrementally for high performance.
Data Format Converters - Transforms supported data formats into Java objects based on configurable reading rules.
Token-Based Stream Parsers - Includes a low-level streaming API for high-performance JSON generation and parsing via token sequences.
Incremental Data Streaming - Processes data as a sequence of tokens to ensure high performance and minimal memory usage during parsing.
Serialization Frameworks - Functions as a full serialization framework for converting Java objects to and from multiple data formats.
Token-Based Data Streaming - Implements a high-performance streaming API that processes JSON content as a sequence of tokens to minimize memory overhead.
JSON Libraries - Provides industry-standard JSON parsing, generation, and object mapping capabilities for Java applications.
Object Serialization - Transforms complex Java objects into various data formats for persistence or network transmission.
Object-to-Data Mapping Frameworks - Implements a structured mapping process to bind raw data formats into typed Java objects and vice versa.
Reflection-Based Data Mapping - Uses Java reflection to map data fields to object properties by inspecting class structures at runtime.
Node-Tree Data Models - Provides a hierarchical node-tree data model to allow manipulation of data without requiring predefined concrete classes.
JSON Schema Format Mappings - Defines how specific object properties are named and handled to ensure compatibility between different data schemas.
Serialization Behavior Settings - Provides control over serialization output, including pretty-printing, empty object handling, and date formatting.
Property Name Mappings - Provides property name mapping to override default object property names with descriptive labels during conversion.
Deserialization Behavior Settings - Allows adjusting deserialization behavior, such as ignoring unknown properties or coercing empty strings to null.
Annotation-Driven Configuration - Provides annotation-driven configuration to control serialization and deserialization logic directly on class fields and methods.
Bytecode-Generated Accessors - Generates optimized bytecode for accessors at runtime to eliminate reflection overhead during object property access.
Data Encoders and Decoders - Provides low-level APIs to encode and decode structured data formats via streaming.
Property Exclusions - Enables ignoring specific fields or methods during the conversion between Java objects and data formats.
Plugin-Based Architectures - Employs a plugin-based architecture to extend core functionality with support for new data formats and custom types.

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