Dash by Plotly vs Shiny

Struggling to choose between Dash by Plotly and Shiny? Both products offer unique advantages, making it a tough decision.

Dash by Plotly is a Development solution with tags like python, plotly, dashboard, visualization, analytics.

It boasts features such as Interactive data visualization, Built on top of Plotly.js, React, and Flask, Supports many chart types like scatter plots, histograms, box plots, heatmaps, etc, Linked views for cross-filtering, Supports callbacks for dynamic updates and interactions, Layouts with CSS grid and flexbox, Authentication and role-based access control, Works with Pandas DataFrames and pros including Open-source and free to use, Great for building analytical web apps quickly, Large library of customizable visualizations, Python-based, so easy for Python developers, 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.