omegaconf VS parse_it

Compare omegaconf vs parse_it and see what are their differences.

omegaconf

Flexible Python configuration system. The last one you will ever need. (by omry)
Python YAML yaml-configuration configuration-files configuration-loader python-types schema-validator
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parse_it

A python library for parsing multiple types of config files, envvars & command line arguments that takes the headache out of setting app configurations. (by naorlivne)
Configuration Python Python3 Parser Library Package JSON YAML TOML environment-variables argument-parser Ini json-parser yaml-parser configuration-files Config XML configuration-file Configuration Management Hcl Parser
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omegaconf parse_it
3 -
1,788 107
- -
6.8 7.2
30 days ago 8 days ago
Python Python
BSD 3-clause "New" or "Revised" 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.

omegaconf

Posts with mentions or reviews of omegaconf. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-22.

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 omegaconf and parse_it you can also consider the following projects:

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

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.

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production

ConfigParser

gybe - A simple YAML transpiler for rendering Kubernetes manifests using python type-hints.

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.

jinsi - JSON/YAML homoiconic templating language

dynaconf - Configuration Management for Python ⚙

xdgconfig - Easy access to ~/.config from python

profig - A straightforward configuration library for Python.

pytorch_tempest - My repo for training neural nets using pytorch-lightning and hydra

ConfigObj - Python 3+ compatible port of the configobj library

omegaconf vs pytorch-lightning parse_it vs python-dotenv omegaconf vs fastapi parse_it vs ConfigParser omegaconf vs gybe parse_it vs python-benedict omegaconf vs jinsi parse_it vs dynaconf omegaconf vs xdgconfig parse_it vs profig omegaconf vs pytorch_tempest parse_it vs ConfigObj