Real Dynamic settings for Python, you can read settings from file, environment variables, redis or any other database.

Code Quality Rank: L4
Programming language: Python
License: MIT License
Tags: Configuration     Django     Flask     Utilities     Python     Settings    
Latest version: v3.0.0.rc1

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dynaconf - The dynamic configurator for your Python Project

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dynaconf a layered configuration system for Python applications - with strong support for 12-factor applications and extensions for Flask and Django.

Read the Full Documentation at: http://dynaconf.readthedocs.io/

Top Contributors


  • Strict separation of settings from code (following 12-factor applications Guide).
  • Define comprehensive default values.
  • Store parameters in multiple file formats (.toml, .json, .yaml, .ini and .py).
  • Sensitive secrets like tokens and passwords can be stored in safe places like .secrets file or vault server.
  • Parameters can optionally be stored in external services like Redis server.
  • Simple feature flag system.
  • Layered [environment] system.
  • Environment variables can be used to override parameters.
  • Support for .env files to automate the export of environment variables.
  • Correct data types (even for environment variables).
  • Have only one canonical settings module to rule all your instances.
  • Drop in extension for Flask app.config object.
  • Drop in extension for Django conf.settings object.
  • Powerful $ dynaconf CLI to help you manage your settings via console.
  • Customizable Validation System to ensure correct config parameters.
  • Allow the change of dynamic parameters on the fly without the need to redeploy your application.

Read the docs

Documentation: http://dynaconf.readthedocs.io/

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*Note that all licence references and agreements mentioned in the dynaconf README section above are relevant to that project's source code only.