pydantic__pydantic.acb0f10f
Science Score: 44.0%
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (14.2%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: swesmith
- License: mit
- Language: Python
- Default Branch: main
- Size: 3.42 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
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 3.9+; validate it with Pydantic.
Pydantic Logfire :fire:
We've recently launched Pydantic Logfire to help you monitor your applications. Learn more
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
```python from datetime import datetime from typing import 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-smith
- Login: swesmith
- Kind: organization
- Repositories: 1
- Profile: https://github.com/swesmith
Scaling Data for Software Engineering Agents
Citation (CITATION.cff)
cff-version: 1.2.0
title: Pydantic
message: 'If you use this software, please cite it as below.'
type: software
authors:
- family-names: Colvin
given-names: Samuel
- family-names: Jolibois
given-names: Eric
- family-names: Ramezani
given-names: Hasan
- family-names: Garcia Badaracco
given-names: Adrian
- family-names: Dorsey
given-names: Terrence
- family-names: Montague
given-names: David
- family-names: Matveenko
given-names: Serge
- family-names: Trylesinski
given-names: Marcelo
- family-names: Runkle
given-names: Sydney
- family-names: Hewitt
given-names: David
- family-names: Hall
given-names: Alex
- family-names: Plot
given-names: Victorien
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 3.9+; validate it with Pydantic.
keywords:
- python
- validation
- parsing
- json-schema
- hints
- typing
license: MIT
version: v2.10.6
date-released: 2025-01-23
GitHub Events
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Dependencies
- 120 dependencies
- actions/checkout v4 composite
- actions/setup-python v4 composite
- annotated-types >=0.6.0
- pydantic-core ==2.30.0
- typing-extensions >=4.12.2