dynaconf VS parse_it

Compare dynaconf vs parse_it and see what are their differences.

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dynaconf parse_it
4 -
3,519 107
1.9% -
8.4 7.2
8 days ago 3 days ago
Python Python
MIT License GNU Lesser General Public License v3.0 only
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.

parse_it

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

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

What are some alternatives?

When comparing dynaconf and parse_it you can also consider the following projects:

hydra - Hydra is a framework for elegantly configuring complex applications

omegaconf - Flexible Python configuration system. The last one you will ever need.

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.

ConfigParser

python-decouple - Strict separation of config from code.

python-benedict - :blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.

confuse - painless YAML config files for Python

profig - A straightforward configuration library for Python.

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