Struggling to choose between Streamlit and Shiny? Both products offer unique advantages, making it a tough decision.
Streamlit is a Ai Tools & Services solution with tags like python, web-app, dashboard.
It boasts features such as Quickly create web apps and dashboards in Python, Interactive widgets for user input, Support for major Python data science libraries, Real-time updates as code changes, Open-source and free and pros including Very fast and easy to build apps, No need to know frontend web dev, Great for data science workflows, Active community support.
On the other hand, Shiny is a Development product tagged with r, web-development, data-visualization.
Its standout features include Reactive programming framework, Built on R, Easily create dashboards and web apps, Host apps on Shiny Server or Shinyapps.io, Integrate with JavaScript, CSS, and HTML, and it shines with pros like Open source and free, Large user community, Extensive documentation and tutorials, Integrates seamlessly with R and R packages, Highly customizable and extensible.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Streamlit is an open-source Python library for building web apps and dashboards quickly and easily. It allows you to create interactive data apps in Python without needing to know any JavaScript or HTML.
Shiny is an open-source R package that provides an elegant and powerful web framework for building web applications using R. It makes it easy to build interactive web apps straight from R.