dynaconf VS gin-config

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

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dynaconf gin-config
4 3
3,519 1,991
1.7% 1.3%
8.4 4.6
6 days ago 3 months ago
Python Python
MIT License Apache License 2.0
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.

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.

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.

What are some alternatives?

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

hydra - Hydra is a framework for elegantly configuring complex applications

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

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.

fora - A simple infrastructure and configuration management tool

ConfigParser

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

python-decouple - Strict separation of config from code.

confuse - painless YAML config files for Python

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

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