Security & Authentication LDAP / Active Directory Changes Group handling within RStudio Connect has significantly improved for LDAP / Active Directory within this release. Groups will now be synchronized via a background process on a scheduled interval. The group membership for a user is determined on login rather than at the time of content access, and permission checks will use synced data from the RStudio Connect database rather than making LDAP requests. Read more →

Automate deployment with the RStudio Connect Server API With RStudio Connect, your team can publish straight from the desktop or server IDE with the push of a button or orchestrate a fully customized deployment pipeline. While push-button publishing is powerful and convenient, it’s not the ideal solution for all organizations. Data science teams need tools that can help traditional IT administrators understand how to provide sophisticated oversight for the deployment and management of data science artifacts. Read more →

Bokeh and Streamlit support is now generally available We are happy to announce that the newest interactive Python content types, Bokeh and Streamlit, are now generally available in RStudio Connect. Thank You! to everyone who reached out to provide feedback on Bokeh and Streamlit during the Beta period. The RStudio Connect User Guide contains information about our support for Bokeh and Streamlit, including detailed deployment instructions, example applications, and known limitations/compatibility requirements for each framework: Read more →

Audit Server Content with the RStudio Connect API In 1.8.6, RStudio Connect administrators have the ability to create reports that track and manage the content on their servers. If you’ve ever wanted the answers to questions like: How do I produce a list of all the content we have published to RStudio Connect? Which applications can be accessed by which people and which groups? Which versions of R and Python are actually being used, and by which publishers? Read more →

Want data about how people learn and use R? If so, please fill out our 3nd annual survey so that we can better understand today's R community. We'll publish the results in February 2021 as free and open source data. Read more →

We are proud to announce the latest release of the distill package is now on CRAN. This version contains a number of major upgrades including the introduction of themed articles and websites, search, and improved accessibility. Read more →

Packages are the heart of open source data science, but we know they aren’t always easy. Data scientists need access to ever-evolving tools to do their best work, and IT needs to understand the risk of new software while providing a stable environment for reproducible work. RStudio Package Manager helps teams work together to accomplish these goals. Today we are excited to announce a greatly expanded focus, enabling teams to realize these benefits across languages and ecosystems by adding support for Bioconductor, beta support for Python packages from PyPI, and new options for managing historical CRAN snapshots. Read more →

This post is part of a series on new features in RStudio 1.4, currently available as a preview release. Today, we continue a long-standing tradition of concluding our preview blog series with a look at some of the smaller features we’ve added to the IDE. Deeper Outlines for R Scripts If you write R scripts longer than a couple of pages, you probably already use RStudio’s document outline pane, which makes it easy to see an overview of your R script and navigate quickly to any section. Read more →

rstudio::global(2021) will be a very different conference from previous years. We will miss being together physically, but we are enthusiastic about planning this free, virtual event designed to be inclusive of R users in every time zone. Even though the conference itself is free, we are continuing our tradition of diversity scholarships, but with a different focus. This year, we have planned for 70 diversity scholarships available to individuals around the world who are a member of a group that is underrepresented at rstudio::conf(). Read more →

This article, the first of three, describes how to use a code-oriented data science approach to Google Analytics data from a blog. It creates custom views of raw GA data while hiding the complexity of the Google Analytics data and interface Read more →