Search Results for "process"
Sort By:
Showing 3 open source projects for "process"
View related business solutions-
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
-
1
Hermione
Browser test runner based on mocha and wdio
...When tests are run one by one, it takes a lot of time. Hermione can run tests in parallel sessions in different browsers out of the box. Running of too many tests in parallel can lead to the overloading of the main process CPU usage which causes degradation in test passing time, so Hermione runs all tests in subprocesses in order to solve this problem. -
2
CSS Critic
Lightweight CSS regression testing
...For example, make it supervise changes to your project's responsive style guide so you know things are looking good. We believe that your UI will change often enough that a lightweight process on managing changes (near instant feedback, anyone?) is more important than a heavy-weight one which could offer tighter control. Also, CSS Critic aims at bridging the gap between user experience (UX) people and (UI) developers. You probably won't find an easier way of sharing your UI tests than the simple web page that CSS Critic basically is. ... -
3
Frontend Regression Validator (FRED)
Visual regression tool used to compare baseline and updated instances
...The visual analysis computes the Normalized Mean Squared error and the Structural Similarity Index on the screenshots of the baseline and updated sites, while the visual AI looks at layout and content changes independently by applying image segmentation Machine Learning techniques to recognize high-level text and image visual structures. This reduces the impact of dynamic content yielding false positives. FRED is designed to be scalable. It has an internal queue and can process websites in parallel depending on the amount of RAM and CPUs (or GPUs) available.
- Previous
- You're on page 1
- Next
