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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
The JavaScript InfoVis Toolkit offers resources for developing interactive data visualizations suitable for the web environment. To get started effectively, you should explore the demos page, where each demonstration features a "See the Example Code" link that directs you to the corresponding code. The essential library code is embedded in the HTML file, which is constructed each time by selecting only the necessary components specified in the visualization's name and the build.json file. This code is generated using the build.py script. To create a new visualization, it is necessary to configure the server environment to include the test JavaScript files specific to your new project, and you must also integrate the new visualization files into the Source folder. By following these steps, you can successfully implement custom visualizations tailored to your data needs.
API Access
Has API
API Access
Has API
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
SenchaLabs
Founded
2013
Country
United States
Website
philogb.github.io/jit/
