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Frameworks for translating data structures into native language objects using annotations and streaming APIs.
Distinct from Data Binding Frameworks: Existing candidates focus on UI synchronization or language-level unpacking; this is about data-to-object mapping.
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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
Provides a comprehensive system for translating various data structures into native Java objects.