Plotly vs ZoomCharts

Struggling to choose between Plotly and ZoomCharts? 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, ZoomCharts is a Office & Productivity product tagged with charts, dashboards, data-visualization, javascript.

Its standout features include Over 90 chart types including line, bar, pie, map, etc, Responsive design, Animation and interactivity, Custom styling and themes, Data binding and real-time updates, Exporting charts as images or PDF, Drill down, zooming and panning, Touch support and gestures, Tree maps and heat maps, Chart linking and synchronization, and it shines with pros like Large selection of chart types, Easy to integrate into web apps, Very customizable and flexible, Good performance with large datasets, Active development and 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.

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

ZoomCharts

ZoomCharts

ZoomCharts is a JavaScript charting library for creating interactive data visualizations and dashboards for web applications. It offers over 90 chart types including line, bar, pie, map, and more. Key features include responsive design, animation, custom styling, exporting, and data binding.

Categories:
Office & Productivity Data Visualization
charts dashboards data-visualization javascript

ZoomCharts Features

  1. Over 90 chart types including line, bar, pie, map, etc
  2. Responsive design
  3. Animation and interactivity
  4. Custom styling and themes
  5. Data binding and real-time updates
  6. Exporting charts as images or PDF
  7. Drill down, zooming and panning
  8. Touch support and gestures
  9. Tree maps and heat maps
  10. Chart linking and synchronization

Pricing

  • Free
  • Subscription-Based

Pros

Large selection of chart types

Easy to integrate into web apps

Very customizable and flexible

Good performance with large datasets

Active development and support

Cons

Steep learning curve

Limited documentation

Expensive for full featured license

Lacks some advanced analytics features