- “One button” deployment into a single environment for Shiny applications, R Markdown documents, Plumber APIs, Python Jupyter notebooks, Quarto documents and projects, or any static R plot or graph.
- Extended deployment capabilities supporting Python APIs and applications using Shiny, Flask, Dash, FastAPI, Bokeh, and Streamlit, as well as automated deployments for any content type via Git or command-line scripts.
- The ability to manage and limit access to the work you’ve shared with others – for teaching purposes.
For more information on running RStudio Connect in UM please visit https://rstudio-connect.icto.um.edu.mo/connect/