pydantic-factories VS picologging

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.

I'm the author and sole maintainer of a library called pydantic-factories.

You can see the docs here.

Here is the link: https://github.com/Goldziher/pydantic-factories

I'm glad to say pydantic-factories is now at v1.0.0 and includes support for pydantic v1.9.0+.

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.

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

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.

We updated the logging support - Starlite now offers optimized logging using QueueListeners for stdlib and picologging, while also offering ready made configs for Structlog.

Starlite now ships with optional logging configs for both stdlib logging and picologging.