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I have played around with Pluto.jl, and colleagues of mine use it for research, but I keep going back to Jupyter. I tend to have long running cells that are pulling information from external sources or training models, and triggering one of those cells accidentally will waste a lot of time running something that may not be reliably interrupted.
There is talk about putting in execution barriers that would help with this, at the risk of making Pluto more complicated for users:
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https://madnight.github.io/githut/#/pull_requests/2021/1
Just saying but julia open source is kinda dead outside few very high quality packages
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How does RStudio have little interest in interoperability with other languages? They produce the reticulate package[1] to allow calling Python code for R, they have added support for Python to RMarkdown and RStudio[2], they let you host Python apps on their RStudio Connect product[3], they sponsor Ursa Labs to work on the Arrow project for easy data interchange[4].
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