However, Allaire stressed that this functionality is not imminent.įor now, though, Quarto was designed to work equally well in Visual Studio Code and Jupyter as it does in RStudio, which the company hopes will make adoption among teams with non-R users more likely. Allaire envisions cloud-based collaboration for Quarto documents that will work the same way Google Docs editing does now-seamlessly and without users needing to explicitly use an external version control tool like Git. Openscapes worked with NASA as early Quarto beta testers and found that Quarto made it much easier for Python and R users to work together, she said.īut one of the most intriguing benefits is down the road. 'Quarto enables collaborating across coding languages,' Julia Stewart Lowndes, founder and co-director at Openscapes, said during an RStudio Conference keynote. The “high internal consistency” is another attraction, as the same syntax will work across more languages and formats. If you use more than one language, or you are on a multi-language team, you will likely find Quarto’s native support for multiple languages appealing.

It’s not a language-specific library, but an external software application.Īfter a soft launch of several months, Quarto was a major theme of this year’s RStudio Conference in late July. Quarto is open source, and it’s as friendly to Python, Julia, Observable JavaScript, and Jupyter notebooks as it is to R. Those are two of the reasons RStudio has developed Quarto, a next-generation, R Markdown-like publishing system. Plus, while you could run additional languages besides R within an R Markdown code chunk, it still was fundamentally built for R. And as more capabilities were added via external R packages, syntax for basic tasks became inconsistent depending on, for example, whether output was a stand-alone HTML document, HTML slide presentation, or something else. You can even export complete books and websites.īut R Markdown has been around for 10 years. Plus, R Markdown files can be exported to a variety of formats-Word, HTML, PDF, PowerPoint, and more. R Markdown has been one of the more compelling aspects of the R ecosystem, making it easy to combine results of R code with text to tell stories with data in a reproducible workflow.

Python code in rstudio