Plotly vs EJSCharts

Struggling to choose between Plotly and EJSCharts? 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, EJSCharts is a Development product tagged with charts, data-visualization, graphing.

Its standout features include Supports various chart types like line, bar, pie, scatter, radar, candlestick etc, Interactive and customizable charts, Animated transitions and interactions, Touch support for mobile devices, Canvas rendering for better performance, Client-side data processing, Export charts as images, Open source and free, and it shines with pros like Easy to use API, Good documentation, Lightweight and fast, Many customization options, Supports large datasets, Works across devices and browsers.

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

EJSCharts

EJSCharts

EJSCharts is a feature-rich JavaScript charting library that allows you to create interactive charts and graphs in the browser. It has support for a wide variety of chart types including line, bar, pie, scatter, radar, candlestick and more.

Categories:
Development Javascript Libraries
charts data-visualization graphing

EJSCharts Features

  1. Supports various chart types like line, bar, pie, scatter, radar, candlestick etc
  2. Interactive and customizable charts
  3. Animated transitions and interactions
  4. Touch support for mobile devices
  5. Canvas rendering for better performance
  6. Client-side data processing
  7. Export charts as images
  8. Open source and free

Pricing

  • Open Source

Pros

Easy to use API

Good documentation

Lightweight and fast

Many customization options

Supports large datasets

Works across devices and browsers

Cons

Less chart types than some competitors

Lacks some advanced features like 3D charts

Relies on Canvas, so no SVG output

Requires learning JavaScript to use