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What is ZingChart?

Value Boxes are an essential feature for smaller datasets, providing clear visibility of each node's exact values. When enabled, these boxes prominently showcase the value associated with each node, making it easy for users to comprehend the data. However, in situations involving slightly larger datasets, displaying value boxes for every single node may create visual confusion, prompting the use of tooltips that allow users to view a node's value on demand. For instances where tooltips fall short in delivering sufficient information, crosshairs present a simple yet effective way to analyze a spectrum of values. In the case of very large datasets, where users need to zoom in significantly to identify node values, the ability to magnify specific points helps reduce the difficulty of focusing on the data. Furthermore, the inclusion of scroll bars significantly improves the navigation experience, enabling users to move through the dataset more efficiently. The preview window plays a dual role by assisting users in monitoring their current zoom level while also facilitating quick adjustments to the scroll position. Collectively, these features empower users to engage with the data efficiently, regardless of the size of the dataset, ensuring that they have the tools necessary to derive meaningful insights. This comprehensive approach to data interaction enhances user experience across various dataset scales.

What is Popper?

Positioning tooltips and popovers can present a significant challenge, but that's where the utility of Popper becomes invaluable! This tool effectively takes a target element, such as a button, and its associated tooltip, ensuring that the tooltip is automatically positioned in the most advantageous location next to the button. Popper excels at managing the placement of any UI component that extends outside the standard document flow, allowing it to hover next to a designated element. Although tooltips are among the most common applications, Popper is also capable of handling popovers, drop-down menus, and various other similar components, which can be broadly categorized as "popper" elements. To take advantage of this feature, users can simply click on the dots to choose from 12 unique placement options for their tooltip. It's crucial to recognize that pure CSS poppers may experience overflow issues, potentially getting clipped by boundaries such as the viewport, which might result in them being partially hidden or spilling over the edge due to the lack of dynamic positioning logic. By integrating Popper into your project, you can ensure that your poppers are placed correctly every time, removing the need for tedious manual adjustments and simplifying your UI design process. This capability not only enhances accuracy in positioning but also contributes to a more cohesive and user-friendly interface, ultimately improving the overall user experience. Embracing such tools allows developers to focus on creativity and functionality without worrying about positioning intricacies.

Media

Media

Integrations Supported

Angular
NG-Bootstrap
React
jQuery

Integrations Supported

Angular
NG-Bootstrap
React
jQuery

API Availability

Has API

API Availability

Has API

Pricing Information

$249 one-time payment
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

ZingChart

Company Website

www.zingchart.com

Company Facts

Organization Name

Popper

Company Location

United States

Company Website

popper.js.org

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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