Sikuli vs Applitools Eyes

Struggling to choose between Sikuli and Applitools Eyes? Both products offer unique advantages, making it a tough decision.

Sikuli is a Development solution with tags like gui-testing, image-recognition, automation.

It boasts features such as Image-based GUI automation, Cross-platform support (Windows, Mac, Linux), Support for major languages like Python, Java, JavaScript, Ruby, Image matching to identify and interact with GUI components, Recording and playback of user interactions, Visual debugging with screenshots, Integration with major test frameworks like JUnit and TestNG and pros including No need to deal with source code of application, Tests can be created using visual drag-and-drop, Tests are resilient to GUI changes, Simplifies test automation for graphical apps, Reusable image assets make tests robust, Support for multiple languages for test scripting.

On the other hand, Applitools Eyes is a Ai Tools & Services product tagged with visual-testing, automated-testing, ai, machine-learning, ui-testing, ux-testing, regression-testing, cicd.

Its standout features include Visual AI powered testing, Cross-browser testing, Native mobile app testing, Integrations with Selenium, Cypress, etc, Automated accessibility testing, Advanced reporting and analytics, and it shines with pros like Saves time by automating visual testing, Catches visual bugs and regressions quickly, Easy integration into CI/CD pipelines, Reduces manual testing time significantly, Powerful AI detects subtle changes automatically.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Sikuli

Sikuli

Sikuli is an open source graphical user interface (GUI) automation and testing tool. It can identify and control GUI components by matching images of them, enabling test automation without needing access to the application's source code.

Categories:
gui-testing image-recognition automation

Sikuli Features

  1. Image-based GUI automation
  2. Cross-platform support (Windows, Mac, Linux)
  3. Support for major languages like Python, Java, JavaScript, Ruby
  4. Image matching to identify and interact with GUI components
  5. Recording and playback of user interactions
  6. Visual debugging with screenshots
  7. Integration with major test frameworks like JUnit and TestNG

Pricing

  • Open Source

Pros

No need to deal with source code of application

Tests can be created using visual drag-and-drop

Tests are resilient to GUI changes

Simplifies test automation for graphical apps

Reusable image assets make tests robust

Support for multiple languages for test scripting

Cons

Test maintenance overhead due to reliance on image assets

Brittle image matching can cause flaky tests

Limited built-in reporting capabilities

Steep learning curve for image-based testing

Not optimized for web or mobile app testing


Applitools Eyes

Applitools Eyes

Applitools Eyes is an automated visual testing and monitoring software for web and mobile apps. It uses AI and machine learning to detect visual bugs and regressions in UI/UX. Ideal for CI/CD pipelines to ensure app quality.

Categories:
visual-testing automated-testing ai machine-learning ui-testing ux-testing regression-testing cicd

Applitools Eyes Features

  1. Visual AI powered testing
  2. Cross-browser testing
  3. Native mobile app testing
  4. Integrations with Selenium, Cypress, etc
  5. Automated accessibility testing
  6. Advanced reporting and analytics

Pricing

  • Subscription-Based

Pros

Saves time by automating visual testing

Catches visual bugs and regressions quickly

Easy integration into CI/CD pipelines

Reduces manual testing time significantly

Powerful AI detects subtle changes automatically

Cons

Can be expensive for smaller teams

Setup requires some initial effort

Limited customization compared to open source tools

Not ideal for non-visual testing