marshmallow-code/marshmallow
Marshmallow
Marshmallow is a Python data serialization library and validation framework. It functions as a bridge that transforms complex application objects into primitive data types for storage or network transmission and vice versa.
The library utilizes a schema-based approach to validate that incoming data conforms to specific types and constraints. It employs a two-way transformation pipeline consisting of separate load and dump phases to handle deserialization and serialization.
The framework supports class-based schema definitions with declarative field validation and recursive schema nesting for complex data structures. It also includes a post-processing hook system to execute custom logic during data transformation.
Features
- Python Serialization Libraries - Provides a comprehensive library for converting complex Python objects to and from simple data types.
- Complex Data Serialization - Provides serialization support for converting complex Python objects into primitive formats.
- Data Validation - Enforces schema constraints and type requirements on incoming data payloads.
- Object-to-Primitive Mapping - Uses predefined field definitions to translate between complex Python objects and primitive types.
- Field Validation - Provides rules and logic for ensuring data integrity at the field level using declarative attributes.
- Python Data Deserialization - Transforms raw input data back into structured Python objects using predefined schemas.
- Object-to-Data Mapping Frameworks - Maps raw data structures and JSON into typed application model objects using schemas.
- Data Validation - Ensures incoming data conforms to predefined schemas and type constraints before processing.
- Data Validation Schemas - Offers a schema-based framework for defining data structures and enforcing type safety on input.
- Nested Schema Mapping - Supports embedding schemas within other schemas to process complex nested objects and lists.
- Object-Primitive Mapping - Functions as a bridge that transforms complex application objects into primitive data types.
- Schema Definitions - Implements reusable class-based schemas to organize mapping and validation rules.
- Data Transformation Hooks - Provides a hook system to execute custom cleaning logic during the data transformation process.
- Serialization Pipelines - Employs separate load and dump phases to handle deserialization and serialization.
- Request Data Handling - Provides tools for managing and serializing data payloads sent in API requests.
- Data Serialization - Library for object serialization and deserialization.
- Serialization - Lightweight library for object serialization and deserialization.
- Data Serialization - Lightweight library for object serialization and validation.
- Forms and Validation - Library for object serialization and validation.
