AmCharts
amCharts is a JavaScript charting library that allows you to create interactive charts and dashboards. It supports a wide variety of chart types including line, column, bar, pie, radar, gauges, maps, and more.
javascript
charts
data-visualization
dashboards
amCharts: JavaScript Charting Library for Interactive Charts
Create interactive charts and dashboards with amCharts, a powerful JavaScript library supporting various chart types including line, column, bar, pie, radar, gauges, maps, and more.
What is AmCharts?
amCharts is a feature-rich JavaScript charting library that enables you to create interactive charts, dashboards, and data visualizations. With amCharts, you can build solutions for both web and mobile platforms.
Some key capabilities and benefits of amCharts include:
- Supports a wide variety of chart types: line, column, bar, pie, radar, scatter, gauges, maps, stock charts, and more
- Extensive customization options for colors, fonts, animations, interactivity, tooltips, and more
- Plug-in architecture allows extending functionality through custom plugins
- Works across modern browsers and devices including desktops, tablets, and phones
- Can load data from JSON, CSV, XML, and other data sources
- Completely free and open-source under an MIT license
- Active community providing support and continued development
amCharts makes charting accessible even for those without advanced programming skills. With its user-friendly API, you can quickly transform data into insights with professional visualization. If you need advanced interactive charts for web or mobile apps, amCharts is a solid choice to consider.
AmCharts Features
Features
- Interactive and animated charts
- Wide variety of chart types
- Drill-down functionality
- Touch support for mobile devices
- Ability to export charts as images
- Customizable themes
- Works across devices and browsers
Pricing
- Free
- One-time Purchase
- Subscription-Based
Pros
User-friendly and easy to implement
Very customizable and flexible
Good documentation and examples
Open source with MIT license
Active community support
Cons
Can be overwhelming for simple use cases
Steep learning curve for advanced features
Not optimized for very large datasets
Limited built-in support for real-time data
Official Links
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