traits
pydantic-factories
traits | pydantic-factories | |
---|---|---|
3 | 11 | |
415 | 8 | |
0.2% | - | |
6.8 | 7.6 | |
2 days ago | about 1 year ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
traits
- GitHub - enthought/traits: Observable typed attributes for Python classes
- Traits: Observable typed attributes for Python classes
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Attrs – The One Python Library Everyone Needs
My favourite among this class of Python libraries has been traits from Enthought:
https://github.com/enthought/traits
pydantic-factories
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Starlite: v1.27.0 updates
Last but not least, we moved pydantic-factories from my GitHub namespace (Goldziher) into the starlite-api GitHub organization, so its now an official package of the org.
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Looking for contributors and maintainers
I'm the author and sole maintainer of a library called pydantic-factories.
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Pydantic-Factories: Type Based mock data generation
You can see the docs here.
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GitHub - Goldziher/pydantic-factories: Pydantic based mock data generation
Here is the link: https://github.com/Goldziher/pydantic-factories
- What is a normal pylint score and what is its significance?
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pydantic-factories v1.0.0
I'm glad to say pydantic-factories is now at v1.0.0 and includes support for pydantic v1.9.0+.
- Ask HN: Good Python projects to read for modern Python?
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pydantic-factories
So - some of you perhaps read my previous post regarding pydantic-factories, but for those who didn't- its a python package that allows you to generate mock data for your pydantic models and dataclasses. It also works for vanilla python dataclasses, so its actually not only for pydantic.
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How to take off an open-source project?
looking at your badges - i don't care your "docs" pipeline is passing, what I am not seeing is test coverage. I suggest you checkout integrating sonar-cloud with your github repository. You can see how this looks here: https://github.com/Goldziher/pydantic-factories
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Pydantic Factories
Here is a link to the repository - https://github.com/Goldziher/pydantic-factories, I would of course love getting more stars. But I would especially love getting more users and contributors - really do feel free to add PRs, write issues and suggestions etc.
What are some alternatives?
pydantic - Data validation using Python type hints
datamodel-code-generator - Pydantic model and dataclasses.dataclass generator for easy conversion of JSON, OpenAPI, JSON Schema, and YAML data sources.
dataclasses
odmantic - Sync and Async ODM (Object Document Mapper) for MongoDB based on python type hints
dotwiz - A blazing fast dict subclass that supports dot access notation.
fastapi-dramatiq-data-ingestion - Sample project showing reliable data ingestion application using FastAPI and dramatiq
CPython - The Python programming language
FastAPI-template - Feature rich robust FastAPI template.
polyfactory - Simple and powerful factories for mock data generation
PDM - A modern Python package and dependency manager supporting the latest PEP standards
asgi-correlation-id - Request ID propagation for ASGI apps
sqlmodel - SQL databases in Python, designed for simplicity, compatibility, and robustness.