ConfigObj VS python-decouple

Compare ConfigObj vs python-decouple and see what are their differences.

ConfigObj

Python 3+ compatible port of the configobj library (by DiffSK)

python-decouple

Strict separation of config from code. (by HBNetwork)
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ConfigObj python-decouple
0 8
309 2,660
1.3% 1.1%
0.0 3.1
2 months ago 2 months ago
Python Python
GNU General Public License v3.0 or later 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.

ConfigObj

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

We haven't tracked posts mentioning ConfigObj yet.
Tracking mentions began in Dec 2020.

python-decouple

Posts with mentions or reviews of python-decouple. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-25.

What are some alternatives?

When comparing ConfigObj and python-decouple you can also consider the following projects:

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.

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

ConfigParser

django-dotenv - Loads environment variables from .env

dynaconf - Configuration Management for Python ⚙

hydra - Hydra is a framework for elegantly configuring complex applications

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

profig - A straightforward configuration library for Python.

environs - simplified environment variable parsing