RStudio Connect
Connect data scientists with decision makers
RStudio Connect is a publishing platform for the work your teams create in R and Python. Share Shiny applications, R Markdown reports, Plumber APIs, dashboards, plots, Jupyter Notebooks, and more in one convenient place. Use push-button publishing from the RStudio IDE, scheduled execution of reports, and flexible security policies to bring the power of data science to your entire enterprise.
There are 2 ways to try RStudio Connect:
Latest version: Connect 1.7.0
RStudio Connect recently introduced new features with 1.7.0, including the opportunity to publish Jupyter Notebooks alongside your great data products built in R. Watch Jeff Allen’s talk at rstudio::conf 2019 to see them live
Push-Button Publishing
Click ‘Publish’ to send your work to RStudio Connect from RStudio Desktop, RStudio Server, or RStudio Server Pro. RStudio Connect supports just about any static or dynamic content your team can create in R.
Self-Managed Content
Give your R users control of the work they share. With RStudio Connect they can see what they’ve published, decide who should be able to view and collaborate on it, tune performance, schedule updates, view logs of their R processes and more.
Enterprise Security
RStudio Connect is on-premises software you run behind your firewall. Keep control of your data and who has access. Work with your organization’s preferred identity security, including LDAP/Active Directory, Google OAuth, PAM, proxied authentication, or an internal username/password database.
Tagging
Create rich tag hierarchies to organize content. Search tags to discover content. Easily tag new content.
APIs
Host R functions as RESTful APIs to integrate R with other systems.
RStudio Professional Drivers
RStudio makes it easy to access and analyze your data with R. Use RStudio Professional Drivers on your system when you run Shiny apps or R Markdown docs that access your production databases.
Execution Servers
Enable RStudio Connect to run across a multi-node cluster, providing an option to scale compute horizontally and ensure high availability for all the R content you depend on.
