Pydantic
E97057
Pydantic is a Python library for data validation and settings management that uses type hints to parse, validate, and serialize data.
Aliases (1)
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
Python library
→
data validation library → settings management library → |
| designGoal |
enable easy data serialization
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leverage Python type hints for validation → provide clear error messages → |
| license |
MIT License
→
|
| programmingLanguage |
Python
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|
| repositoryPlatform |
GitHub
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|
| supports |
BaseModel
→
JSON Schema generation → JSON serialization → ORM mode → Optional types → Union types → alias for fields → custom data types → custom encoders → custom validators → data deserialization → data parsing → data serialization → data validation → dataclasses integration → default values → environment-based configuration → error reporting → field constraints → field validators → model configuration → model copying → model inheritance → model re-validation → model serialization to JSON → model serialization to dict → nested models → root validators → runtime type checking → schema generation → settings classes → settings management → strict mode → type coercion → typing.Annotated → validators → validators via decorators → |
| typicalUseCase |
API request and response validation
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configuration management → data ingestion pipelines → modeling domain objects → |
| uses |
Python type hints
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