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What is WebDataRocks?

WebDataRocks is a straightforward and complimentary JavaScript library engineered for crafting effective pivot tables, compatible with popular frameworks like Angular, Vue, and React. Its numerous benefits include being cost-free and highly adaptable, functioning as a client-side component capable of processing JSON or CSV data files of up to 1MB in size. Packed with a robust selection of enterprise-level features, WebDataRocks integrates effortlessly with various third-party charting libraries, thereby enhancing the visualization of data. The library offers capabilities such as filtering, sorting, grouping, and both conditional and number formatting, along with calculated values, making it a powerful resource for data management and analysis. Moreover, users can swiftly print or export reports to formats like PDF, Excel, or HTML with a single click, significantly simplifying the reporting workflow. With a sleek and modern user interface reminiscent of a spreadsheet, the tool is designed to be fully compatible with both web browsers and applications, ensuring that users have a reliable and enjoyable experience while engaging with their data. Additionally, its extensive customization options allow users to tailor the functionality to meet their specific needs and preferences.

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

No images available

Media

Integrations Supported

JavaScript

Integrations Supported

Wink

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
Chromebook
Linux

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

WebDataRocks

Date Founded

2019

Company Location

United States

Company Website

www.webdatarocks.com

Company Facts

Organization Name

SenchaLabs

Date Founded

2013

Company Location

United States

Company Website

philogb.github.io/jit/

Categories and Features

Component Libraries

Not specified

Data Visualization

Not specified

JavaScript Libraries

Not specified

Categories and Features

JavaScript Libraries

Not specified

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