Test Automation Tools
Test automation blog & resources
Virtuoso Reviews, Features and General Overview [2026]
Are you feeling tired of spending countless hours manually testing your browser-based applications? Are you tired of constantly maintaining your tests due to changes in element attributes or page structures? Then it might be time to adopt a test automation tool such as Virtuoso. In 2026, Virtuoso QA has solidified [...]
Top 10 JavaScript Frameworks in 2026
JavaScript is still one of the most popular programming languages used by software developers. Its frameworks have revolutionized web development. Into 2026, shifts in how teams build web apps show up clearly in JavaScript tools. Speed tweaks now matter just as much as coding comfort when picking a framework. One [...]
Top 5 PHP Testing Frameworks in [2026]
PHP is the most widely used open-source, server-side language to create dynamic websites in the software industry today. Many popular websites, like Facebook, Wikipedia, and Etsy, use PHP. It is so common in the market due to multiple factors: Availability of different frameworks to choose from, Advanced security features, Faster [...]
Preflight Reviews, Pros, Cons, and Benefits – [2026] Overview
In today's times, you need an easy way to test your applications. Why? Because you need to keep up with the extensive and complex requirements of software testing in a very short time frame. Moreover, with Agile and other such collaborative development styles employed, you want to utilize your entire [...]
Applitools Testing Tool Overview, Advantages, and Disadvantages [2026]
Visual testing is a crucial component of software development that ensures an application's user interface and functionality are free of bugs and glitches. Applitools is a powerful testing tool that automates visual testing and helps teams identify visual defects before they can cause issues for users. In 2026, Applitools also [...]
What is MLOPs?
Machine Learning Operations(MLOps) is one of the most important disciplines to have emerged in modern AI-driven organizations. As organizations increasingly rely on machine learning (ML) and deep learning to automate decisions, personalize user experiences, detect anomalies, and optimize internal processes, they face a new set of operational challenges: How to [...]