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While the reproducibility problem is definitely a issue, I'm not sure it's such a big issue that I'd switch to a whole different notebook solution for it. For most notebook scenarios, running from scratch works fine to ensure it reproduces. Apart from this one feature, BeakerX does all the same things and fits a lot better into the existing jupyter ecosystem.

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To be clear, we're not out to supplant Jupyter. Anybody who's happy with their Jupyter setup will likely find little value in Polynote. But it has plugged some gaps we've had in our Scala ML research team at Netflix, so we thought others might see some value as well.

And there are lots of teams at Netflix that are investing in Jupyter as well! Plenty of room for both options.

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