2020 at RStudio: A Year in Review

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Photo by Kelly Sikkema on Unsplash

We at RStudio are excited to host our first fully virtual conference this week, rstudio::global. We were so pleased to have so many of you join us this week, and while we wish we could see you all in person again, we were happy to have this opportunity to come together with the open source data science community. We will share a recap of the conference in after it concludes this Friday.

Before we dive back into our projects, I thought it would be a good time to look back at what kept us busy in 2020. While the year presented many challenges for everyone, we were pleased to continue to support and deliver value to the R and Python data science community. Below, I list some of the many highlights of the past year. No doubt I have missed a few, but these are some of the things I am particularly proud we were able to accomplish last year.

RStudio the Company

Our company grew significantly this year, despite the many challenges posed by COVID-19. As part of that growth, we:

RStudio Products

On the product side, we significantly enhanced the capabilities of both our commercial and open source products. Specifically, we:

R and Python Packages

RStudio also expanded its wealth of free and open-source packages available to the larger data science community in 2020. Some of the significant development included:

And of course, the tidyverse team was as productive as always this year, releasing (among other things) upgrades to:

There were also significant updates to:

The team also launched tidymodels.org, a central location for learning and using the tidymodels packages.

Finally, in support of online scientific and technical communication, we introduced the 1.0 version of the distill package, as well as real-time visual editing of R Markdown documents. We also introduced many other updates and enhancements to R Markdown.

To Learn More

2020 was a busy year, and I am sure there are still a dozen things I missed. I know it’s difficult to keep up with everything RStudio is doing, but hopefully the links I’ve included above will help. If you’d like to learn more about any of the professional products, please drop a line to [email protected], or book at time talk with us using this link.

If you’d particularly like to learn more about the many ways that RStudio provides a single home for data science teams using R and Python, we encourage you to register for our upcoming webinar on February 3rd.

Here’s to a happy, healthy, and productive 2021 for all of us!

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