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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

JavaScript charting that is both straightforward and adaptable for designers and developers alike is now available. Users can arrange layout boxes in stacked and weighted configurations within groups. There's also a secondary title plugin that offers the same features as the primary title. Custom styling for line segments can be applied based on user-defined criteria. Each property of every element can have its transitions configured independently, allowing for detailed customization. Significant performance improvements have been made to enhance usability. Users can seamlessly combine bar and line charts to create a visually distinct representation of multiple datasets. The library supports the plotting of intricate and sparse datasets across various scales, including date time and logarithmic, as well as fully customizable options. It offers impressive transitions out of the box when modifying data, changing colors, or adding new datasets. Chart.js thrives as a community-driven project, encouraging contributions from users. With the ability to visualize data in eight unique, animated, and customizable formats, it redraws charts responsively when the window is resized, ensuring optimal scale granularity. Additionally, the latest version introduces new types of chart axes to expand its functionality even further.

Description

SciChart is a versatile, high-performance charting and data visualization library designed for cross-platform development, offering GPU-accelerated, real-time 2D and 3D charting components tailored for applications built with JavaScript, WPF/.NET, iOS, macOS, and Android. This powerful suite allows developers to efficiently visualize millions to billions of data points with minimal lag, enabling the creation of intricate interactive dashboards, scientific graphs, and real-time telemetry displays without suffering from performance degradation. Its proprietary Visual Xccelerator engine, along with support for WebGL and WebAssembly, ensures that charts can refresh at high frame rates even when managing the substantial data loads common in big-data scenarios, financial trading, and instrumentation applications. Furthermore, SciChart provides a comprehensive API that supports extensive customization options, including axes, annotations, interaction modifiers, themes, and advanced chart types such as heatmaps, polar plots, 3D surface meshes, and candlestick charts, facilitating seamless integration into contemporary development processes while enhancing user experiences. With its robust features and capabilities, SciChart stands out as a leading solution for those needing dynamic and responsive data visualizations.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

.NET
Angular
Avalonia UI
C#
Embeddable
Java
JavaScript
Kotlin
Noodl
Nordcraft
OpenGL
QuickChart
React
Swift
TypeScript
Vue.js
Windows Presentation Foundation (WPF)
Xamarin

Integrations

.NET
Angular
Avalonia UI
C#
Embeddable
Java
JavaScript
Kotlin
Noodl
Nordcraft
OpenGL
QuickChart
React
Swift
TypeScript
Vue.js
Windows Presentation Foundation (WPF)
Xamarin

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Chart.js

Website

www.chartjs.org

Vendor Details

Company Name

SciChart

Founded

2010

Country

United Kingdom

Website

www.scichart.com

Product Features

Product Features

Data Visualization

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

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