Data validation and settings management using python 3.6 type hinting


Keywords
data-validation, python3, python36, python37, schema, type-hints, validation
License
MIT
Install
pip install pydantic==0.30.1

Documentation

pydantic

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Data validation and settings management using Python type hinting.

Fast and extensible, pydantic plays nicely with your linters/IDE/brain. Define how data should be in pure, canonical Python 3.6+; 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 Install section in the documentation.

A Simple Example

from datetime import datetime
from typing import List
from pydantic import BaseModel

class User(BaseModel):
    id: int
    name = 'John Doe'
    signup_ts: 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 the Contributing to Pydantic.