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Data parsing and validation using Python type hints

pydantic-docs.helpmanual.io/
MIT License
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@PrettyWood
PrettyWood fix(ci): update fastapi tests (#3690)
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fix(ci): update fastapi tests (#3690)

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pydantic Help Installation A Simple Example Contributing Reporting a
Security Vulnerability

README.md

 pydantic

CI Coverage pypi CondaForge downloads versions license

Data validation and settings management using Python type hints.

Fast and extensible, pydantic plays nicely with your linters/IDE/
brain. Define how data should be in pure, canonical Python 3.7+;
validate it with pydantic.

 Help

See documentation for more details.

 Installation

Install using pip install -U pydantic or conda install pydantic -c
conda-forge. For more installation options to make pydantic even
faster, see the Install section in the documentation.

 A Simple Example

from datetime import datetime
from typing import List, Optional
from pydantic import BaseModel

class User(BaseModel):
    id: int
    name = 'John Doe'
    signup_ts: Optional[datetime] = None
    friends: List[int] = []

external_data = {'id': '123', 'signup_ts': '2017-06-01 12:22', 'friends': [1, '2', b'3']}
user = User(**external_data)
print(user)
#> User id=123 name='John Doe' signup_ts=datetime.datetime(2017, 6, 1, 12, 22) friends=[1, 2, 3]
print(user.id)
#> 123

 Contributing

For guidance on setting up a development environment and how to make
a contribution to pydantic, see Contributing to Pydantic.

 Reporting a Security Vulnerability

See our security policy.

About

Data parsing and validation using Python type hints

pydantic-docs.helpmanual.io/

Topics

python validation parsing json-schema python36 hints python37 
python38 pydantic python39

Resources

Readme

License

MIT License

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8.9k stars

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Forks

823 forks

Releases 84

 
v1.9.0 (2021-12-31) Latest
Dec 31, 2021
+ 83 releases

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Contributors 254

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+ 243 contributors

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