fromconfig VS osxdocker

It is particularly well suited for Machine Learning (see examples). Launching training jobs on remote clusters requires custom command lines, with arguments that need to be propagated through the call stack (e.g., setting parameters of a particular layer). The usual way is to write a custom command with a reduced set of arguments, combined by an assembler that creates the different objects. With fromconfig, the command line becomes generic, and all the specifics are kept in config files. As a result, this preserves the code from any backwards dependency issues and allows full reproducibility by saving config files as jobs' artifacts. It also makes it easier to merge different sets of arguments in a dynamic way through references and interpolation.

fromconfig acts as a generic command line interface from configuration files with absolutely no change to the code.

1.A CLI to manage screenshots. https://github.com/ConorSheehan1/shot 2. A CLI for docker (mostly clearing logs, since that turned out to be complex on mac. https://github.com/ConorSheehan1/osxdocker