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Analyzing internal class structures and markers to produce external data validation schemas.
Distinct from Schema-Driven Generators: Focuses on generating schemas FROM code, whereas schema-driven generators typically produce code/UI FROM schemas.
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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
Analyzes internal class structures and markers to generate external data validation schemas.