samuelcolvin__pydantic

https://github.com/swe-train/samuelcolvin__pydantic

Science Score: 44.0%

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Low similarity (13.8%) to scientific vocabulary

Last synced: 6 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: swe-train
License: mit
Language: Python
Default Branch: main
Size: 104 MB

Statistics

Stars: 0
Watchers: 0
Forks: 0
Open Issues: 0
Releases: 0

Created almost 2 years ago · Last pushed over 1 year ago

Metadata Files

Readme Changelog Contributing Funding License Citation

Pydantic

Data validation using Python type hints.

Fast and extensible, Pydantic plays nicely with your linters/IDE/brain. Define how data should be in pure, canonical Python 3.8+; validate it with Pydantic.

Pydantic Company :rocket:

We've started a company based on the principles that I believe have led to Pydantic's success. Learn more from the Company Announcement.

Pydantic V1.10 vs. V2

Pydantic V2 is a ground-up rewrite that offers many new features, performance improvements, and some breaking changes compared to Pydantic V1.

If you're using Pydantic V1 you may want to look at the pydantic V1.10 Documentation or, 1.10.X-fixes git branch. Pydantic V2 also ships with the latest version of Pydantic V1 built in so that you can incrementally upgrade your code base and projects: from pydantic import v1 as pydantic_v1.

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

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

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

externaldata = {'id': '123', 'signupts': '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.

Owner

Name: swe-train
Login: swe-train
Kind: organization

Repositories: 1
Profile: https://github.com/swe-train

Citation (CITATION.cff)

cff-version: 1.2.0
title: Pydantic
message: 'If you use this software, please cite it as below.'
type: software
authors:
  - Samuel Colvin
  - Eric Jolibois
  - Hasan Ramezani
  - Adrian Garcia Badaracco
  - Terrence Dorsey
  - David Montague
  - Serge Matveenko
  - Marcelo Trylesinski
  - Sydney Runkle
  - David Hewitt
  - Alex Hall
repository-code: 'https://github.com/pydantic/pydantic'
url: 'https://docs.pydantic.dev/latest/'
abstract: >-
  Pydantic is the most widely used data validation library
  for Python.


  Fast and extensible, Pydantic plays nicely with your
  linters/IDE/brain. Define how data should be in pure,
  canonical Python 3.8+; validate it with Pydantic.
keywords:
  - python
  - validation
  - parsing
  - json-schema
  - hints
  - typing
license: MIT
version: v2.6.4
date-released: '2024-03-12'

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.github/actions/people/action.yml actions

actions/checkout v4 composite
actions/setup-python v4 composite

pyproject.toml pypi

annotated-types >=0.4.0
pydantic-core ==2.18.2
typing-extensions >=4.6.1

tests/plugin/pyproject.toml pypi

tests/pyright/pyproject.toml pypi

ecosyste.ms

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