pydantic-settings VS deescovery

Compare pydantic-settings vs deescovery and see what are their differences.

deescovery

Initialize modules of your Python projects on startup. Discover Flask blueprints, FastAPI endpoints, SQLAlchemy models, etc. (by imankulov)
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pydantic-settings deescovery
1 1
456 10
8.3% -
8.2 0.0
5 days ago almost 2 years ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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pydantic-settings

Posts with mentions or reviews of pydantic-settings. We have used some of these posts to build our list of alternatives and similar projects.

deescovery

Posts with mentions or reviews of deescovery. We have used some of these posts to build our list of alternatives and similar projects.
  • Structure Flask project with convention over configuration
    1 project | dev.to | 5 May 2021
    To somehow address the issue, I created a Python package roman-discovery. The package lets you declaratively define the conventions of your application and run a discover() function to apply their rules. It's not specific to Flask, but I created it primarily with Flask in mind.

What are some alternatives?

When comparing pydantic-settings and deescovery you can also consider the following projects:

dynaconf - Configuration Management for Python โš™

django-split-settings - Organize Django settings into multiple files and directories. Easily override and modify settings. Use wildcards and optional settings files.

synko - [abandoned] ๐Ÿ” Sync application configurations and settings across multiple multi-platform devices ๐Ÿ–ฅ๏ธ๐Ÿ’ป (linux and macos)

django-environ - Django-environ allows you to utilize 12factor inspired environment variables to configure your Django application.

sitri - Sitri - powerful settings & configs for python