Pydantic is a data validation library for Python.
Define how data should be in pure, canonical Python 3.7+; validate it with Pydantic.
This is free and open source software.
Key Features
- Type hints powering schema validation. The schema that Pydantic validates against is generally defined by Python type hints.
- Core validation logic is implemented in separate package pydantic-core, where validation for most types is implemented in Rust.
- Provides functionality to serialize model in three ways:
- To a Python dict made up of the associated Python objects.
- To a Python dict made up only of “jsonable” types.
- To a JSON string.
- JSON Schema can be generated for any Pydantic schema — allowing self-documenting APIs and integration with a wide variety of tools which support JSON Schema.
- Strict mode and data coercion.
- Provides four ways to create schemas and perform validation and serialization:
- BaseModel — Pydantic’s own super class with many common utilities available via instance methods.
- pydantic.dataclasses.dataclass – a wrapper around standard dataclasses which performs validation when a dataclass is initialized.
- TypeAdapter – a general way to adapt any type for validation and serialization. This allows types like TypedDict and NampedTuple to be validated as well as simple scalar values like int or timedelta – all types supported can be used with TypeAdapter.
- validate_call – a decorator to perform validation when calling a function.
- Customisation
Website: docs.pydantic.dev/latest
Support: GitHub Code Repository
Developer: Pydantic Services Inc. and individual contributors
License: MIT License
Pydantic is written in Python. Learn Python with our recommended free books and free tutorials.
Related Software
| Python Data Validation | |
|---|---|
| Pydantic | Data validation using Python type hints |
| pandera | Framework for precision data testing |
| jsonschema | Implementation of JSON Schema for Python |
| Cerberus | Lightweight and extensible data validation library |
| schema | Library for validating Python data structures |
| GX | Validating, documenting, and profiling data |
| marshmallow | ORM/ODM/framework-agnostic library |
| Voluptuous | Python data validation library |
| Schematics | Combine types into structures, validate , and transform the shapes of data |
| Colander | Serialization / deserialization / validation library |
| Valideer | Lightweight data validation and adaptation Python library |
| OpenRefine | Desktop program for data cleanup and transformation |
| Soda Core | Data quality and data contract verification engine |
| OpenMetadata | Unified metadata platform |
| Elementary OSS | dbt-native data observability command-line tool |
Read our verdict in the software roundup.
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