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Show HN: Graph-based notebook for data scientists and researchers

amie.ai

51–55 of 55 posts

Re: Show HN: Graph-based notebook for data scientists and researchers

#51
post #48

Apologize, but I'm super confused about this product. How is this compared to say codalab ( https://worksheets.codalab.org/ ) for organizing experiments?

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.

Re: Show HN: Graph-based notebook for data scientists and researchers

#52
post #46

If anybody is curious, CTO of amie here, we run on elm and a mix of Haskell and go, our db of choice is of course postgres !

Have you considered adding version control to this?

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.

Re: Show HN: Graph-based notebook for data scientists and researchers

#53

I would have loved this during my post-doc!

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!

Re: Show HN: Graph-based notebook for data scientists and researchers

#54

Earlier quoted context omitted.

Of course, thank you for asking. An ordinary notebook only lets you order notes linearly. As soon as you try out different paths and switch back and forth between them, for example, different models, you can lose the overview. With the graph, for any result, you can always go back an understand exactly where it came from. We make this extra easy by letting you plot the notes according to the parameters they are tagge…

Is this intended to be a notebook in the jupyter sense or in the evernote sense? Initially I thought the former (and so pretty much discounted the possibility of using it as a personal knowledge base) but your response made me wonder if I'm missing something I've tried pretty much everything on the planet looking for a good knowledge base/personal wiki that is graph based. My current tool of choice is a humble little…

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!

Re: Show HN: Graph-based notebook for data scientists and researchers

#55
Just random nitpicks: The "interact with me" emoji is hard to make out, looks like a glitch at first. Emojis should be images, for both consistency and making sure people don't get boxy question marks if their browser can't render. "toggle fullscreen" is off-center vertically. The demo frame is messed up in Edge. The text in the about page needs a max width. Like others mentioned the demo is a bit overwhelming, it also has some minor UX issues and is generally the weakest link design wise at the moment.
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