Deploying Streamlit Using RStudio Connect: A Step-by-Step Tutorial

As a data scientist or machine learning engineer, you may have worked with both R and Python. While R has been the go-to language for data analysis and visualization, Python has also become increasingly popular in recent years. At Appsilon, we specialize in R and Shiny, but we also know our way around Python.

One of the benefits of using RStudio is its ability to support multiple languages, including Python. In this article, we will provide a step-by-step tutorial on how to deploy Streamlit applications using RStudio Connect.

Before we dive into the tutorial, it's worth noting that RStudio is not just about R. While it was originally designed for R, it has since evolved to support other languages as well.

To get started with deploying your Streamlit application using RStudio Connect, you will first need to ensure that you have the necessary software installed on your computer. This includes RStudio and RStudio Connect.

Once you have RStudio and RStudio Connect set up, you can create a new project in RStudio and install the Streamlit package using pip.

Next, you'll want to create a new Python file for your Streamlit application. You can do this by clicking on 'File' > 'New File' > 'Python File' in the RStudio menu bar.

Once you have created your Python file, you can start building your Streamlit application by importing the necessary libraries and defining your app layout.

When you're ready to deploy your Streamlit application, you'll need to use RStudio Connect. This is where things get interesting - RStudio Connect provides strong support for Streamlit out-of-the-box.

To deploy your Streamlit application using RStudio Connect, you can simply click on the 'Deploy' button in the RStudio menu bar and select 'RStudio Connect' as the deployment target.

In our recent Streamlit tutorial series, we created a Streamlit application from scratch and deployed it using RStudio (Posit) Connect. You can check out that article for more information on how to create a Streamlit app and deploy it using RStudio Connect.

It's worth noting that at the time of writing this post, RStudio was in transition for rebranding, including products such as Posit Connect - we'll refer to it here as RSConnect/RStudio Connect. If you completed our recent tutorial series on Streamlit, you might've noticed that your app was deployed using RStudio (Posit) Connect.

Overall, deploying Streamlit applications using RStudio Connect is a straightforward process that requires minimal setup and configuration. By following the steps outlined in this article, you should be able to successfully deploy your Streamlit application using RStudio Connect.

I hope this helps! Let me know if you have any questions or need further clarification on any of the steps.

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