Here’s an example dashboard you can create with Dash: If you’re a heavy Python user, Dash will allow you to express your analysis quickly and visually. It’s written in Flask, Plotly.js, and React.js, so it’s an ideal candidate for creating dashboards. It is a Python framework used for building web applications. Appsilon is a Full-Service Certified RStudio Partner and can assist with deployment and app scaling regardless of your choice of underlying technology. With Connect, you can now share Flask APIs and interactive dashboards written in both R and Python. It’s also worth noting that whether you choose Dash or Shiny (or both!), you can deploy your apps through RStudio Connect. We’re not going to throw arbitrary points to Shiny just because we prefer it for enterprise app development. Still, we’ll do our best to provide an honest and unbiased opinion in this article. Feel free to navigate to any section:Īt Appsilon, we are global leaders in R Shiny, and we’ve developed some of the world’s most advanced R Shiny dashboards, so we have a natural bias towards using Shiny. Here’s a list of topics covered throughout the article.
You’ll also see if it’s worth it to make a long-term switch to either.ĭon’t have the resources to build a custom solution in R or Python? Here are 3 Top BI tools that can be used as an alternative. After reading this article, you’ll know how these two compare and when it’s better to use one over the other. Today we’ll compare two technologies for building web applications – Python’s Dash and R’s Shiny.
The question remains – which technology should you use? R or Python? You have to think about a vast amount of technical details and at the same time build something easy and enjoyable to use.
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