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.

Feature	Voila	Dash by Plotly
Overall Score	N/A	N/A
Primary Category	Development	Development

Product Overview

Voila

Description: 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.

Dash by Plotly

Description: 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.

Key Features Comparison

Voila Features

• 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

Dash by Plotly Features

• 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

Pros & Cons Analysis

Voila

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

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

Pricing Comparison

Voila

• Open Source

Dash by Plotly

• Open Source
• Freemium