No need to apologise :D It is very different in our view because we build a graph that connects all experiments you do. This allows you to get an overview of your entire discovery process. In our approach users can use the full power of a programmatic access, via our python client, and the full power of a Gui. With amie one can see for example: which feature performed best using a model Y after a grid search that resulted in parameter Z.

Coda lab is great tho, and we have a lot of features in the pipeline that will actually add containerised, reproducible artefacts of your scientific computing work and environment straight from a Jupiter notebook.