Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

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

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Embeddable Yes 
Noodl Yes 
Nordcraft Yes 
QuickChart Yes 
Wink No 

Integrations

Embeddable No 
Noodl No 
Nordcraft No 
QuickChart No 
Wink Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

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/

Product Features

Product Features

Alternatives

Alternatives

FusionCharts Reviews

FusionCharts

Idera, Inc.
JointJS Reviews

JointJS

client IO s.r.o.
VisuallyJs Reviews

VisuallyJs

JsPlumb
Plotly Dash Reviews

Plotly Dash

Plotly