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What is amCharts?

amCharts comprises a collection of JavaScript libraries and tools designed to fulfill all of your data visualization requirements online. The amCharts Charts feature traditional chart types, including Line, Area, Column, Bar, Pie, XY, Scatter, Candlestick, Radar, Polar, and OHLC, alongside more unique options such as Gauges, Funnels, Gantt, Chord and Sankey diagrams, Force-Directed Trees, TreeMap, and Sunburst Charts, among others. In addition, amCharts Maps provides fully interactive and adaptive maps for both global and local country representation. Moreover, there is a specialized Stock Chart offered by amCharts, specifically designed for the visualization and analysis of stock and other time-oriented data. All products are accessible for free with a minor backlink requirement, and there are also paid commercial versions available to accommodate a variety of usage scenarios. This flexibility allows users to choose the option that best fits their needs, enhancing their data presentation capabilities significantly.

What is SciChart?

SciChart is an adaptable and high-performance library for charting and data visualization, crafted for cross-platform development and offering GPU-accelerated, real-time 2D and 3D charting components suitable for applications across JavaScript, WPF/.NET, iOS, macOS, and Android platforms. This impressive toolkit enables developers to visualize massive datasets—ranging from millions to billions of data points—while maintaining minimal lag, thus allowing for the construction of complex interactive dashboards, scientific graphs, and real-time telemetry displays without compromising performance. Its unique Visual Xccelerator engine, combined with support for WebGL and WebAssembly, guarantees that charts can refresh at high frame rates, even when dealing with the significant data volumes typical in big-data scenarios, financial trading, and instrumentation applications. Additionally, SciChart offers an extensive API that allows for deep customization, including axes, annotations, interaction modifiers, themes, and advanced chart types such as heatmaps, polar plots, 3D surface meshes, and candlestick charts, which facilitates smooth integration into modern development workflows while improving user engagement. The library's extensive features and functionality make it an exceptional choice for developers looking to implement dynamic and responsive data visualizations that enhance the overall user experience. As a result, SciChart is increasingly recognized as a premier option for those requiring robust data visualization capabilities in their applications.

Media

Media

Integrations Supported

Angular
JavaScript
React
TypeScript
Vue.js
.NET
Avalonia UI
C#
Java
Kotlin
OpenGL
Swift
Windows Presentation Foundation (WPF)
WordPress
Xamarin
Zuar Portal

Integrations Supported

Angular
JavaScript
React
TypeScript
Vue.js
.NET
Avalonia UI
C#
Java
Kotlin
OpenGL
Swift
Windows Presentation Foundation (WPF)
WordPress
Xamarin
Zuar Portal

API Availability

Has API

API Availability

Has API

Pricing Information

$0
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

amCharts

Date Founded

2006

Company Location

Lithuania

Company Website

amcharts.com

Company Facts

Organization Name

SciChart

Date Founded

2010

Company Location

United Kingdom

Company Website

www.scichart.com

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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