Well, I think there is something to be said there though. The reason why the Julia stack is nice is because Julia's standard logging tools can be used for loggi

Well, I think there is something to be said there though. The reason why the Julia stack is nice is because Julia's standard logging tools can be used for logging in ML codes. Even other things like Julia's standard progress monitoring toolbars just work on ML codes. That's quite a surprising result. Tools which build a sub-language for graph building like TensorFlow have to build and document such tooling. So for newcomers to Julia, they will search the package documentation and package codes and find nothing. It is a confusing problem because the functionality exists but no one thought to document its usage for this context since it is just the standard Julia usage!