The release notes contain a full list of all of the bugfixes and features in this release, and of course feedback is welcome on the RStudio IDE Community Forum.
#RSTUDIO 1.2 UPDATE#
You can download the new RStudio 1.2 update (-3) here:
#RSTUDIO 1.2 64 BIT#
Note that a 64 bit operating system is still required to run RStudio itself.
#RSTUDIO 1.2 32 BIT#
#RSTUDIO 1.2 PRO#
You’ll see a summary of all your active sessions and jobs, quick links to your active projects, and tools for managing ongoing work.Īlongside this interim release of RStudio Server Pro 1.2, we’re releasing an update to the 1.2 desktop and open source server. In addition to adding these two new capabilities, we’ve revamped the RStudio Server Pro user dashboard (homepage), with cleaner visuals and a clearer layout. Note that RStudio does not bundle Jupyter (it must be installed separately) and that Jupyter is only available when RStudio Server Pro is configured with the Job Launcher. Starting a new Jupyter session is as easy as choosing Jupyter when you start a new session.īoth Jupyter Notebook and JupyterLab are supported. Just like RStudio sessions, RStudio Server Pro manages all of the authentication, supervision, and lifetime of Jupyter sessions, and gives you a convenient dashboard of running sessions. In this RStudio Server Pro update, we’re making it easier to use these tools together you can now run Jupyter sessions in addition to RStudio sessions inside RStudio Server Pro, making it possible to both author and publish Jupyter notebooks inside RStudio Team. Many data science teams use Jupyter side by side with RStudio as a tool for reproducible research, and earlier this year we announced Jupyter support for RStudio Connect. memory and CPU) for different groups of Slurm users.įinally, Slurm can optionally be used to run interactive R sessions as well if your R environment exists solely on your Slurm cluster.
Admins can configure many aspects of the experience, including setting different resource limits (e.g. Once started, Slurm jobs exist independently from R sessions and can be monitored from any R session, or from the improved user dashboard. This means that it’s possible to write R code in RStudio and submit it to a Slurm cluster for execution, using RStudio Server’s new Jobs feature. In this update, we’re introducing a new Slurm back end for RStudio Server Pro’s new Job Launcher (itself introduced in the initial release of RStudio Server Pro 1.2). It’s a popular tool for data science teams to run big, resource-intensive jobs on dedicated hardware. Slurm is a open-source workload management system, capable of running distributed jobs across a cluster. Update and let us know what you think!Ĭoming Soon: RStudio Pro 1.Today, we’re announcing an important update to RStudio Server Pro 1.2 that introduces two new capabilities. You can download the new release, RStudio, here:įeedback on the new release is always welcome in the community forum. We’re grateful for your support–thank you for helping us to continue making RStudio the best workbench for data science!Īll products based on RStudio have been updated. Many of you used the preview releases for your day to day work and gave us invaluable bug reports, ideas, and feedback. We’d like to thank the open source community for helping us to make this release possible. You can read more about what’s new this release in the release notes, or our RStudio 1.2 blog series. Don’t like how it looks now? No problem–just make your own theme. Underpinning it all is a new rendering engine based on modern Web standards, so RStudio Desktop looks sharp on displays large and small, and performs better everywhere – especially if you’re using the latest Web technology in your visualizations, Shiny applications, and R Markdown documents. And get more done with background jobs, which let you run R scripts while you work. Create, and test, and publish APIs in R with Plumber. Testing your R code is easier, too, with integrations for shinytest and testthat. You’ll now find RStudio a more comfortable workbench for working in SQL, Stan, Python, and D3. Over a year in the making, this new release of RStudio includes dozens of new productivity enhancements and capabilities. We're excited to announce the official release of RStudio 1.2! What’s new in RStudio 1.2?
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