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The main selling point of the ggsql R package is arguably it’s knitr engine that allows you to add ggsql blocks to your Rmarkdown and Quarto documents. While ggsql also provides a Jupyter kernel that Quarto can use, Jupyter only allows a single kernel at a time, so if you wish to mix R and/or Python blocks with ggsql visualizations, then the ggsql knitr engine is the way.