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Description
WebDataRocks is a user-friendly and free JavaScript library designed for the creation of efficient pivot tables, compatible with frameworks such as Angular, Vue, and React.
It boasts several advantages, including being free of charge and highly customizable, as well as functioning as a JavaScript-based client-side component that can handle 1MB of JSON or CSV data files.
Equipped with a comprehensive array of enterprise-level features, WebDataRocks seamlessly integrates with various third-party charting libraries to enhance data visualization capabilities.
The library includes functionalities like filtering, sorting, grouping, conditional and number formatting, and calculated values, making it an effective tool for managing and analyzing data.
Additionally, users can easily print or export their reports to formats like PDF, Excel, or HTML with just a single click, which streamlines the reporting process significantly.
Offering a modern and aesthetically pleasing user interface similar to a spreadsheet, the tool is optimized for both web browsers and applications, ensuring a reliable and enjoyable user experience while working with data.
Description
Waiting is a compact library designed to facilitate the process of waiting for specific conditions to be met. It fundamentally pauses execution until a designated function returns True, offering various operational modes. Additionally, Waiting is designed to work seamlessly with flux for simulating timelines. The simplest way to utilize it is by providing a function to monitor. It’s straightforward to wait indefinitely; if your predicate yields a value, that value will be returned as the output of wait(). You can also set a timeout, and if this period lapses without the predicate being satisfied, an exception will occur. The library polls the predicate at a default interval of one second, which can be adjusted using the sleep_seconds parameter. When dealing with multiple predicates, Waiting offers two efficient methods for aggregation: any and all. These methods are similar to Python's built-in any() and all(), but they ensure that a predicate is not invoked more than necessary, which is particularly beneficial when working with predicates that are resource-intensive and time-consuming. By streamlining these functions, Waiting enhances both the efficiency and user experience of handling asynchronous operations.
API Access
Has API
API Access
Has API
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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
WebDataRocks
Founded
2019
Country
United States
Website
www.webdatarocks.com
Vendor Details
Company Name
Python Software Foundation
Country
United States
Website
pypi.org/project/waiting/
Product Features
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery