Gin-Config

Gin provides a lightweight configuration framework for Python, based on dependency injection. Functions or classes can be decorated with @gin.configurable, allowing default parameter values to be supplied from a config file (or passed via the command line) using a simple but powerful syntax. This removes the need to define and maintain configuration objects or write boilerplate parameter plumbing and factory code, while often dramatically expanding a project's flexibility and configurability. It is particularly well suited for machine learning experiments. It is currently at version 0.5.0 and is actively maintained by Google.