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What is KeyLines?

Develop cutting-edge graph visualization solutions that convert complex interconnected data into actionable insights. Harness the flexibility and power of JavaScript to quickly create graph visualization applications that are accessible from anywhere, for anyone. With KeyLines, you can take a fully customizable approach to building your graph visualization application. Create interactive tools that reveal concealed insights and identify potential risks. The KeyLines JavaScript toolkit enables you to customize applications to cater to the needs of your users, manage specific data, and tackle critical inquiries effectively. It works seamlessly across all browsers, devices, servers, and databases, and is backed by extensive tutorials, demonstrations, and thorough API documentation. Our committed developer support will help you efficiently uncover network insights. KeyLines streamlines the development of high-performance JavaScript graph visualization tools that function seamlessly across multiple platforms. By utilizing HTML5 and WebGL for graphic rendering, combined with thoughtfully crafted code, users can achieve swift and impactful visual representations of their data. Moreover, these tools equip users to make well-informed decisions derived from the insights they discover, enhancing overall decision-making processes. Ultimately, the combination of powerful features and user-centric design ensures that KeyLines fosters a deeper understanding of complex data relationships.

What is CanvasJS Charts?

Introducing a high-performance JavaScript charting library that boasts a tenfold increase in speed and offers a user-friendly API. Our JS Charts seamlessly integrate with leading frameworks such as Vue, Angular, and React. The library features over 30 different chart types, including line, column, bar, area, pie, doughnut, and stacked charts, among others. Additionally, these graphs can connect effortlessly with various server-side technologies like PHP, Ruby, Python, and ASP.Net. It is capable of rendering thousands of data points without any noticeable lag in performance. CanvasJS supports 30 different chart formats and ensures compatibility across all devices, including iPhones, iPads, Android devices, Macs, and PCs. This versatility empowers you to create intricate dashboards that are functional and maintainable across numerous devices while delivering an optimal user experience. Ultimately, this library is designed to enhance your data visualization capabilities and streamline your development process.

Media

Media

Integrations Supported

Amazon Neptune
ArangoDB
Azure Cosmos DB
Cayley
DataStax
Elastic Cloud
JanusGraph
Memgraph
Neo4j
OrientDB
Stardog
Titan

Integrations Supported

Amazon Neptune
ArangoDB
Azure Cosmos DB
Cayley
DataStax
Elastic Cloud
JanusGraph
Memgraph
Neo4j
OrientDB
Stardog
Titan

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Cambridge Intelligence

Company Location

United Kingdom

Company Website

cambridge-intelligence.com/keylines/

Company Facts

Organization Name

Fenopix Technologies

Company Location

United States

Company Website

canvasjs.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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