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:
For a hands-on approach to learning about Python content in RStudio Connect, try exploring the Jump Start examples. The Jump Start examples now contain tutorials for Bokeh and Streamlit application publishing under the Python tab.
RStudio Connect 1.8.6
With the vetiver package, data scientists have a streamlined, consistent way to maintain machine learning pipelines. We recently updated our Bike Share prediction application using vetiver and Quarto.
RStudio Package Manager 2022.07 now lets you publish your own binary packages, saving you time and frustration.