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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 JavaScript InfoVis Toolkit?

The JavaScript InfoVis Toolkit provides valuable tools for crafting interactive data visualizations that are optimized for web platforms. A good starting point is the demos page, where you can find various examples, each accompanied by a link labeled "See the Example Code" that takes you directly to the relevant code snippets. The core library code is integrated within the HTML file, which is generated dynamically by selecting only the key components defined in the visualization's name along with the build.json file. This code creation process utilizes the build.py script for efficiency. When setting out to develop a new visualization, it's vital to configure your server environment to include the specific test JavaScript files needed for your project, as well as to incorporate the new visualization files into the Source folder. By adhering to these guidelines, you will be well-equipped to create custom visualizations that cater to your specific data requirements, enhancing the interactivity and engagement of your web applications. As you delve deeper into the toolkit's features, you may discover even more ways to optimize your visualizations to better serve your audience.

Media

Media

Integrations Supported

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

Integrations Supported

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

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

Cambridge Intelligence

Company Location

United Kingdom

Company Website

cambridge-intelligence.com/keylines/

Company Facts

Organization Name

SenchaLabs

Date Founded

2013

Company Location

United States

Company Website

philogb.github.io/jit/

Categories and Features

Data Visualization

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

Categories and Features

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