Dash by Plotly vs Voila

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.

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 wi

Dash by Plotly offers 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, while Voila provides 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 stands out for Open-source and free to use, Great for building analytical web apps quickly, Large library of customizable visualizations; Voila is known for Quickly create web apps from notebooks without coding, Retains interactivity of Jupyter widgets and plots, Easily share analyses and models as web apps.

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

Product Overview

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.

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.

Key Features Comparison

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

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

Pros & Cons Analysis

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

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

Pricing Comparison

Dash by Plotly

• Open Source
• Freemium

Voila

• Open Source