gin-config VS dynaconf

Compare gin-config vs dynaconf and see what are their differences.

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gin-config dynaconf
3 4
1,994 3,525
0.6% 1.0%
4.6 8.3
3 months ago 5 days ago
Python Python
Apache License 2.0 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.
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.

gin-config

Posts with mentions or reviews of gin-config. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-05.

dynaconf

Posts with mentions or reviews of dynaconf. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-27.

What are some alternatives?

When comparing gin-config and dynaconf you can also consider the following projects:

spock - spock is a framework that helps manage complex parameter configurations during research and development of Python applications

hydra - Hydra is a framework for elegantly configuring complex applications

fora - A simple infrastructure and configuration management tool

python-dotenv - Reads key-value pairs from a .env file and can set them as environment variables. It helps in developing applications following the 12-factor principles.

ConfZ - ConfZ is a configuration management library for Python based on pydantic.

ConfigParser

python-decouple - Strict separation of config from code.

SaltStack - Software to automate the management and configuration of any infrastructure or application at scale. Get access to the Salt software package repository here:

confuse - painless YAML config files for Python

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