Voila vs Shiny

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

Voila is a Development solution with tags like python, jupyter, notebook, web-app.

It boasts features such as Converts Jupyter notebooks into interactive web applications, Supports Jupyter widgets, plots, and other rich output, Web apps can be shared and deployed online, Built-in themes allow customizing look and feel, Open source and extensible and pros including Quickly create web apps from notebooks without coding, Retains interactivity of Jupyter widgets and plots, Easily share analyses and models as web apps, Customizable and extensible as open source project.

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.

Voila

Voila

Voila is an open-source Python library that allows you to quickly create interactive web applications from Jupyter notebooks. It converts Jupyter notebooks into standalone web apps with interactive widgets, plots, and more without requiring any additional coding.

Categories:
Development Jupyter Notebook Tools
python jupyter notebook web-app

Voila Features

  1. Converts Jupyter notebooks into interactive web applications
  2. Supports Jupyter widgets, plots, and other rich output
  3. Web apps can be shared and deployed online
  4. Built-in themes allow customizing look and feel
  5. Open source and extensible

Pricing

  • Open Source

Pros

Quickly create web apps from notebooks without coding

Retains interactivity of Jupyter widgets and plots

Easily share analyses and models as web apps

Customizable and extensible as open source project

Cons

Limited customization compared to hand-coded web apps

Hosting and deploying web apps requires additional setup

Not all notebook content may be supported

Requires knowledge of Jupyter notebooks

Shiny

Shiny

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.

Categories:
Development Web Application Frameworks
r web-development data-visualization

Shiny Features

  1. Reactive programming framework
  2. Built on R
  3. Easily create dashboards and web apps
  4. Host apps on Shiny Server or Shinyapps.io
  5. Integrate with JavaScript, CSS, and HTML

Pricing

  • Open Source
  • Free
  • Subscription-Based (Shinyapps.io)

Pros

Open source and free

Large user community

Extensive documentation and tutorials

Integrates seamlessly with R and R packages

Highly customizable and extensible

Cons

Can have a steep learning curve

Hosting and scaling apps takes more work

Not as robust for large complex apps as other frameworks

Limited UI widget options compared to JavaScript frameworks