Folks have already noted that you can run content through any Jupyter kernel. That lets you run Python and Julia code in a familiar runtime environment, and without having to install the R runtime and dependencies.
I also think that our IDE tooling is pretty good. If you're running in VS code, we'll (for example) highlight problems in your YAML frontmatter, resolve document crossreferences in the editor, etc.
We do this in an editor-agnostic way, so the Quarto IDE tooling can be adopted by third-party. We (Posit the company) develop the RStudio integration and VS Code extension, but there exist modes developed by the community such as quarto-nvim.
A good way to think about Quarto is "a next-generation RMarkdown with many lessons we learned and an emphasis on multiple language support".
Folks have already noted that you can run content through any Jupyter kernel. That lets you run Python and Julia code in a familiar runtime environment, and without having to install the R runtime and dependencies.
I also think that our IDE tooling is pretty good. If you're running in VS code, we'll (for example) highlight problems in your YAML frontmatter, resolve document crossreferences in the editor, etc.
We do this in an editor-agnostic way, so the Quarto IDE tooling can be adopted by third-party. We (Posit the company) develop the RStudio integration and VS Code extension, but there exist modes developed by the community such as quarto-nvim.
A good way to think about Quarto is "a next-generation RMarkdown with many lessons we learned and an emphasis on multiple language support".