Struggling to choose between Sikuli and SikuliX? 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, SikuliX is a Development product tagged with gui-testing, image-recognition, crossplatform.
Its standout features include Image-based GUI automation, Cross-platform support (Windows, Mac, Linux), IDE for writing visual scripts, Support for common scripting languages like Python and JavaScript, Image and screen capture capabilities, Integrated debugger, Extensible API, and it shines with pros like Easy to learn and use, No need to deal with object repositories or element locators, Tests are resilient to UI changes, Support for major OS platforms, Open source and free.
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 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.
SikuliX is an open-source graphical user interface (GUI) automation and testing tool. It can identify and control GUI components by image recognition. Useful for cross-platform testing of desktop, mobile and web applications.