AnyChart vs Plotly

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

AnyChart is a Data Visualization solution with tags like charts, dashboards, data-visualization, javascript.

It boasts features such as Over 80 chart types including line, area, bar, pie, scatter, stock, maps, heatmaps, gauges, etc, Interactive and customizable dashboards, Drill down and data filtering capabilities, Robust API for advanced customization, Works across devices and screen sizes, Export charts as images and PDFs, Animate charts and add interactivity, Real-time and streaming data support, Integrates with popular frameworks like React, Angular, Vue.js, Can be embedded into web apps or work as a standalone library and pros including Large variety of chart types, Highly customizable and interactive charts, Powerful data visualization capabilities, Lightweight and fast, Integrates well with many frameworks and libraries, Good documentation and samples, Free version available.

On the other hand, Plotly is a Data Visualization product tagged with python, r, javascript, excel, data-analysis, data-visualization, interactive, charts, graphs, dashboards.

Its standout features include Interactive data visualization, Support for Python, R, JavaScript, Excel, 2D and 3D plotting, Statistical charts, Dashboards, Collaboration tools, Exporting and sharing, and it shines with pros like User-friendly, High-quality visualizations, Cross-platform compatibility, Open source and free, Large gallery of examples, Active community 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.

AnyChart

AnyChart

AnyChart is a lightweight and robust JavaScript charting library that allows developers to quickly create interactive charts and dashboards. With over 80 chart types and 1,000 customizable charting features, AnyChart enables building dashboards with advanced analytical capabilities for both web and mobile applications.

Categories:
charts dashboards data-visualization javascript

AnyChart Features

  1. Over 80 chart types including line, area, bar, pie, scatter, stock, maps, heatmaps, gauges, etc
  2. Interactive and customizable dashboards
  3. Drill down and data filtering capabilities
  4. Robust API for advanced customization
  5. Works across devices and screen sizes
  6. Export charts as images and PDFs
  7. Animate charts and add interactivity
  8. Real-time and streaming data support
  9. Integrates with popular frameworks like React, Angular, Vue.js
  10. Can be embedded into web apps or work as a standalone library

Pricing

  • Free
  • Commercial License

Pros

Large variety of chart types

Highly customizable and interactive charts

Powerful data visualization capabilities

Lightweight and fast

Integrates well with many frameworks and libraries

Good documentation and samples

Free version available

Cons

Steep learning curve

Advanced features require complex coding

Limited support options on free version

Not as feature rich as some commercial competitors


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:
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