Voila vs Dash by Plotly

Struggling to choose between Voila and Dash by Plotly? 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, Dash by Plotly is a Development product tagged with python, plotly, dashboard, visualization, analytics.

Its standout features include 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 it shines with pros like 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.

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:
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


Dash by Plotly

Dash by Plotly

Dash by Plotly is an open-source Python framework for building analytical web applications. It makes it easy to build reactive, customizable dashboards by leveraging Flask, Plotly.js, and React.js.

Categories:
python plotly dashboard visualization analytics

Dash by Plotly Features

  1. Interactive data visualization
  2. Built on top of Plotly.js, React, and Flask
  3. Supports many chart types like scatter plots, histograms, box plots, heatmaps, etc
  4. Linked views for cross-filtering
  5. Supports callbacks for dynamic updates and interactions
  6. Layouts with CSS grid and flexbox
  7. Authentication and role-based access control
  8. Works with Pandas DataFrames

Pricing

  • Open Source
  • Freemium

Pros

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

Cons

Steeper learning curve than some other BI tools

Advanced customization requires knowledge of React

Hosting and deployment may require DevOps skills

Not as feature-rich as commercial BI platforms