Compare PyAutoGUI vs. UI.Vision RPA in 2025

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Description

PyAutoGUI enables Python scripts to manage mouse and keyboard actions, allowing for the automation of user interactions with various applications. Its user-friendly API caters to developers working on Windows, macOS, and Linux, supporting both Python 2 and 3. The library facilitates tasks such as moving the mouse and clicking within application windows, sending keystrokes to complete forms, and taking screenshots while also enabling image recognition to locate specific UI elements on the screen. Additionally, it can identify an application's window to manipulate its size, position, and visibility, although this feature is currently limited to Windows. Users can also create alert and message boxes for communication purposes. For instance, a bot utilizing PyAutoGUI monitors a gaming application for images of sushi orders; upon detecting one, it automatically clicks the corresponding ingredient buttons to assemble the sushi. Furthermore, it interacts with the game's phone feature to order additional ingredients as required, showcasing its capacity for full autonomy in gameplay. This example illustrates the diverse automation capabilities that PyAutoGUI offers to developers.

Description

Effortless automation tailored for those with hectic schedules. The UI Vision free RPA software, which was previously known as Kantu, simplifies the automation of both web and desktop applications across Windows, Mac, and Linux platforms. This open-source browser extension, UI.Vision RPA, can be enhanced with local applications for desktop UI automation, ensuring a comprehensive solution. With its core built on open-source principles, UI Vision promises enterprise-level security, ensuring that your data remains securely on your device. Join over 100,000 users in streamlining workflows, whether on your desktop or within your browser. The visual UI testing features offered by UI Vision empower web designers and developers to confirm the accuracy and design of websites and canvas elements. Additionally, UI Vision possesses the capability to detect and interpret images and text embedded within canvas elements, images, and videos. It can also adjust the browser window size to simulate different resolutions, making it an invaluable tool for testing layouts across various browser dimensions and ensuring a flawless visual presentation for mobile, web, and native applications. With UI Vision, you can significantly enhance your productivity and achieve consistent results in your automation tasks.