Can You Use Shiny With Python

Python Programming

Yes, you can indeed use Shiny with Python! Shiny is a web application framework for the R programming language. However, with the package reticulate, it is possible to integrate R and Python, and by extension, Shiny and Python.

I first encountered the question of using Shiny with Python when I was exploring options for building interactive web applications. As a Python enthusiast, I was initially disappointed that Shiny is designed to work with R. However, my disappointment turned into excitement when I discovered the potential to combine Shiny with Python through the reticulate package.

Integrating Shiny with Python using Reticulate

The reticulate package provides an interface to Python from R. It allows you to run Python code within R sessions and exchange objects between the two languages. By leveraging this package, you can incorporate Python code and functionality within Shiny applications.

To get started, you would first need to install the reticulate package in R. Once installed, you can use the repl_python() function to enter an interactive Python session from R. This provides a seamless way to utilize Python libraries and functions within your Shiny application.

Benefits of Using Shiny with Python

The ability to harness the power of Python within a Shiny application opens up a world of possibilities. Python boasts an extensive collection of libraries for data manipulation, machine learning, visualization, and more. By integrating Python into a Shiny app, you can tap into this rich ecosystem and leverage its capabilities to enhance the interactivity and functionality of your web application.

Challenges and Considerations

While the prospect of using Shiny with Python is compelling, it’s important to be mindful of potential challenges. One key consideration is ensuring compatibility between the Python and R code within the Shiny application. Additionally, performance implications and potential overhead from bridging the two languages should be evaluated, especially for resource-intensive applications.


In conclusion, the ability to utilize Shiny with Python through the reticulate package introduces a compelling fusion of powerful tools for web application development. By seamlessly integrating the strengths of both languages, developers can create interactive and feature-rich web applications that leverage the best of both worlds.