I love beaker. I spent a week or so trying to force myself to use Jupyter since others in my team use it, but I bailed out and went back to beaker eventually - it's got everything Jupyter has but is all round nicer to use. It's not without it's problems, but neither is Jupyter by a long shot.
But I'll add that I've never been able to set it up satisfactorily for everyone in my team to use it on a shared server. Shared installs don't seem to work very easily (I'm sure it's possible and probably easy, but it's very unclear to me how). It would be awesome if it had a daemon similar to RStudio where people can just log in with a user id on a server and it forks off an instance for them.
definitely look for the announcement next week for help on this front.
currently the std method would be users to ssh to the shared server and run their own beaker server with a shell, and then connect to the port/URL that it prints out. not exactly the easiest UI, but that's something we are working on...
Any idea if it's faster at presenting output? One of my biggest gripes with Jupyter is that it's crazy slow when presenting even a few hundred lines of something. It makes working with e.g. AWS APIs even more headache-inducing.
Thanks for the links! I've been having a lot of frustrations with jupyter and since it's almost impossible to find anything technical on google these days, I haven't been able to find any good alternatives.
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