Some common interfaces are the basic R GUI, R Commander (the package “ Rcmdr” that you use on top of the basic R GUI), and RStudio. See here for a comparison of RStudio's hosting and deployment options for Shiny.There are multiple ways to interface with R. We will continue to support Shiny Server Pro for existing customers, but we strongly recommend customers consider RStudio Connect. Reflecting the maturity of RStudio Connect as a product, and in order to focus our engineering efforts on providing the best experience for our customers in deploying all forms of R and Python data products, we are discontinuing sales of Shiny Server Pro to new customers.

It provides 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. It enables you to share Shiny applications, R Markdown reports, dashboards, plots, APIs, and more in one convenient place. RStudio Connect is a publishing platform for all the work your teams create in R and Python. However, in response to customer demand to be able to share many other forms of R- and Python-based content (in addition to Shiny applications), a few years ago we introduced a new product: RStudio Connect. Features include scheduled execution of reports and flexible security policies to bring the power of data science to your entire enterprise.įor several years, Shiny Server Pro has enabled data science teams to securely share their Shiny applications on a commercially supported platform. With RStudio Connect, you can share Shiny applications, R Markdown reports, dashboards and plots, as well as Python-based content, including Flask, Dash, Streamlit and Bokeh, in one convenient place with push-button publishing from the RStudio IDE. RStudio Connect is our flagship publishing platform for the work your teams create in R. Deploy on-premises or in your VPC (commercial) RStudio Connect

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