Stephen Brown II 938335c46f Add benchmark for voluptuous library (#1292)
Voluptuous, despite the name, is a Python data validation library.

- GitHub: https://github.com/alecthomas/voluptuous
- PyPi: https://pypi.org/project/voluptuous

Package | Version | Relative Performance | Mean validation time
--- | --- | --- | ---
valideer | `0.4.2` |  | 104.2μs
attrs + cattrs | `19.3.0` | 1.1x slower | 114.4μs
pydantic | `1.4a1` | 1.2x slower | 124.3μs
marshmallow | `3.5.0` | 1.8x slower | 190.1μs
voluptuous | `0.11.7` | 2.2x slower | 227.6μs
trafaret | `2.0.2` | 2.4x slower | 253.0μs
django-rest-framework | `3.11.0` | 8.5x slower | 881.8μs
cerberus | `1.3.2` | 19.1x slower | 1993.8μs
2020-03-06 13:31:43 +00:00
2020-02-03 14:07:01 +00:00
2019-08-18 15:58:45 +01:00
2020-01-24 10:48:44 +00:00
2019-01-17 20:59:58 +00:00
2020-02-03 14:07:01 +00:00
2019-10-07 17:19:01 +01:00
2020-02-05 17:27:12 +00:00

pydantic

BuildStatus Coverage pypi CondaForge downloads versions license

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 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.

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