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What is StockCharts?
Utilizing technology to help investors visualize financial information, we equip our users to perform comprehensive market evaluations, manage and modify their portfolios effectively, identify promising investment opportunities in stocks and funds, and consequently make well-informed financial choices in a timely manner. For almost two decades, StockCharts has positioned itself as a frontrunner in the financial technology industry, delivering innovative, award-winning charting and analytical resources to a wide-ranging global clientele. With a monthly active user base surpassing 1.9 million and steadily increasing, we serve a vibrant array of active traders and investors across the globe. We perceive our charting tools as a vital part of a broader strategy; we are convinced that these tools reach their full effectiveness when paired with the knowledge and insights needed to unlock their true capabilities. This comprehensive approach not only empowers our users but also ensures they are well-prepared to tackle the intricate challenges presented by financial markets. By fostering a deep understanding of market dynamics, we enhance our clients' ability to make strategic investment decisions.
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.
Integrations Supported
.NET
Angular
Avalonia UI
C#
Java
JavaScript
Kotlin
OpenGL
React
Swift
Integrations Supported
.NET
Angular
Avalonia UI
C#
Java
JavaScript
Kotlin
OpenGL
React
Swift
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
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
StockCharts.com
Date Founded
1999
Company Location
United States
Company Website
stockcharts.com/about/
Company Facts
Organization Name
SciChart
Date Founded
2010
Company Location
United Kingdom
Company Website
www.scichart.com
Categories and Features
Categories and Features
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery