Best QA Testing Tools for Linux

Alithya GoTest is a collaborative test hub that is easy and quick to master and integrate, ensuring the quality of any professional digital solutions for companies requiring reliability without compromises. Ensure the quality of your application without sacrificing speed or agility with an easy-to-use, GUI test automation tool. Whether using scripts or not, our flexibility is unmatched, letting you create manual, automated or hybrid test suites for every desktop, web, and mobile application with ease including .Net, Java, WPF and Windows 10, modern JavaScript frameworks like React and Angular and iOS or Andoid with 2050+ browser and platform configurations. No need to jailbreak your devices. Alithya GoTest comes with a keyword library of over 1500 keywords, so you can ensure your GUI and API tests are scalable, robust, and easy to maintain. Alithya also offers consulting, coaching and training to ensure the success of your teams.

QMetry offers a comprehensive suite of software testing tools that enable continuous testing for agile QA teams. QMetry helps QA teams globally with managing their testing processes more efficiently, collaborating seamlessly, increasing their level of test automation, gaining actionable insights from analytics, and taking full advantage of other leading tools and platforms in the dev/test ecosystem through integrations and Open REST APIs. QMetry is trusted by 1000+ customers globally across many verticals including Banking, Finance, Hitech, Healthcare, Travel, Hospitality, Retail, Education and many more. QMetry tools are designed for Agile Testing and DevOps teams to build, manage and deploy quality software faster. QMetry Digital Quality Platform consists of tools. QMetry Test Management. QMetry Test Management for Jira. QMetry Automation Studio. Join more than 150,000 happy users globally.

Gatling is a load & performance testing tool for web applications. Developed by former IT consultants, Gatling is designed for easier maintainability and automation in the DevOps lifecycle.