Dash by Plotly vs OpenBoard Whiteboard

Struggling to choose between Dash by Plotly and OpenBoard Whiteboard? 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, OpenBoard Whiteboard is a Education & Reference product tagged with whiteboard, presentation, teaching, annotation, online-lessons.

Its standout features include Drawing tools like pen, highlighter, shapes, etc., Import and annotate over images, PDFs and other documents, Multi-page canvases, Screen recording and screenshot tools, Supports touchscreens and stylus pens, Collaboration tools for remote teaching, Supports over 80 languages, and it shines with pros like Free and open source, Cross-platform - works on Windows, Mac and Linux, Active development and user community, Lots of features for classroom engagement, Easy to use and intuitive interface.

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.

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


OpenBoard Whiteboard

OpenBoard Whiteboard

OpenBoard is a free and open source interactive whiteboard software for Windows, macOS, and Linux. It allows teachers and students to draw, annotate over documents and presentations, import images, record audio, capture screenshots and more, making it useful for presentations and online lessons.

Categories:
whiteboard presentation teaching annotation online-lessons

OpenBoard Whiteboard Features

  1. Drawing tools like pen, highlighter, shapes, etc.
  2. Import and annotate over images, PDFs and other documents
  3. Multi-page canvases
  4. Screen recording and screenshot tools
  5. Supports touchscreens and stylus pens
  6. Collaboration tools for remote teaching
  7. Supports over 80 languages

Pricing

  • Free
  • Open Source

Pros

Free and open source

Cross-platform - works on Windows, Mac and Linux

Active development and user community

Lots of features for classroom engagement

Easy to use and intuitive interface

Cons

Limited customization compared to paid options

Can be resource intensive on older hardware

Lacks some advanced features like OCR

Collaboration requires manual setup