Parasoft: Automated Testing to Deliver Superior Quality Software
Parasoft provides test automation for every phase of the software development life cycle.
Parasoft helps organizations continuously deliver high-quality software with its AI-powered software testing platform and automated test solutions. Supporting the embedded, enterprise, and IoT markets, Parasoft’s proven technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to web UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. Bringing all this together, Parasoft’s award-winning reporting and analytics dashboard provides a centralized view of quality, enabling organizations to deliver with confidence and succeed in today’s most strategic ecosystems and development initiatives—security, safety-critical, Agile, DevOps, and continuous testing.
Learn More
The CI/CD Platform built for Mobile DevOps
For mobile app developers interested in a powerful CI/CD platform for mobile app development and mobile DevOps
Save time, money, and developer frustration with fast, flexible, and scalable mobile CI/CD that just works. Whether you swear by native or would rather go cross-platform, we have you covered. From Swift to Objective-C, Java to Kotlin, as well as Xamarin, Cordova, Ionic, React Native, and Flutter: Whatever you choose, we will automatically configure your initial workflows and have you building in minutes.
Windows Hello style facial authentication for Linux
Howdy provides Windows Hello™ style authentication for Linux. Use your built-in IR emitters and camera in combination with facialrecognition to prove who you are. Using the central authentication system (PAM), works everywhere you would otherwise need your password: Login, lock screen, sudo, su, etc.
World's simplest facialrecognition api for Python & the command line
...It can find faces in pictures, manipulate facial features in pictures, identify faces in pictures, and do face recognition on a folder of images from the command line. It could even do real-time face recognition and blur faces on videos when used with other Python libraries.