Plotly vs picasso.js

Struggling to choose between Plotly and picasso.js? Both products offer unique advantages, making it a tough decision.

Plotly is a Data Visualization solution with tags like python, r, javascript, excel, data-analysis, data-visualization, interactive, charts, graphs, dashboards.

It boasts features such as Interactive data visualization, Support for Python, R, JavaScript, Excel, 2D and 3D plotting, Statistical charts, Dashboards, Collaboration tools, Exporting and sharing and pros including User-friendly, High-quality visualizations, Cross-platform compatibility, Open source and free, Large gallery of examples, Active community support.

On the other hand, picasso.js is a Photos & Graphics product tagged with charting, data-visualization, canvas, html5.

Its standout features include HTML5 Canvas based charting, Supports various chart types like bar, line, pie etc, Customizable themes, Animated transitions, Touch events and interactions, Responsive and retina ready, Lightweight size, and it shines with pros like Open source and free, Simple and easy to use API, Good documentation, Active community support, Customizable and extensible, Good performance.

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.

Plotly

Plotly

Plotly is an open-source graphing library for Python, R, JavaScript, and Excel. It allows users to create interactive, publication-quality graphs, charts, and dashboards that can be embedded in websites and apps. Plotly is useful for data analysis and visualization.

Categories:
Data Visualization Interactive Charting
python r javascript excel data-analysis data-visualization interactive charts graphs dashboards

Plotly Features

  1. Interactive data visualization
  2. Support for Python, R, JavaScript, Excel
  3. 2D and 3D plotting
  4. Statistical charts
  5. Dashboards
  6. Collaboration tools
  7. Exporting and sharing

Pricing

  • Freemium
  • Subscription-based

Pros

User-friendly

High-quality visualizations

Cross-platform compatibility

Open source and free

Large gallery of examples

Active community support

Cons

Steep learning curve

Limited customization compared to matplotlib

Online dependency for full functionality

Freemium pricing model limits features

picasso.js

picasso.js

Picasso.js is a charting library that allows you to easily create visualizations and charts in the browser using HTML5 Canvas. It has a simple API that makes it easy to quickly generate bar, line, pie and other charts with customizations like themes, interactivity, animations etc.

Categories:
Photos & Graphics Data Visualization
charting data-visualization canvas html5

Picasso.js Features

  1. HTML5 Canvas based charting
  2. Supports various chart types like bar, line, pie etc
  3. Customizable themes
  4. Animated transitions
  5. Touch events and interactions
  6. Responsive and retina ready
  7. Lightweight size

Pricing

  • Open Source

Pros

Open source and free

Simple and easy to use API

Good documentation

Active community support

Customizable and extensible

Good performance

Cons

Limited chart types compared to some libraries

Less customizable than some full featured libraries

Not suitable for large and complex visualizations

Lacks some advanced features like zooming, panning etc