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Both and neither ? :P

We think knowledge is much complex than a simple linear note taking process (Evernote), but also needs (at times) simpler tool than a full fledged computing platform (Jupyter).

With amie one can enrich ones notes with whatever metadata one wants to track, we call them key value pairs, branch off whenever one is exploring parallel ideas and connect every piece of ones knowledge via references.

One can do it all via a Gui, just like in Evernote, but also via our python client giving the user full flexibility.

While we have a lot of visual features coming to make the note taking part neater, we won't support a fully featured markdown-like input for text entry in the near future tho.

Let us know if you can use it to build your personal knowledge base, we think you're going to love amie!

you can always do another post-doc :P

Jokes aside, if you have time to get in touch with us we'd love to chat about the experience you had with the tools (or the lack thereof ) during your post doc!

Yes indeed! Already now, under the hood, everything is version controlled :D We plan to expose a much more fine grained access to version control with a focus on the Jupiter notebook. We also have in the pipeline a neat (we think) visual way to see the diffs in the knowledge one builds using our graph.

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.

You are going to love the next update which will bring full integration with Jupyter notebook and Jupyter lab! Keep an eye open!