A cross-platform Python module for programmatically controlling the mouse and keyboard to automate GUI interactions.
PyAutoGUI is a Python module for cross-platform GUI automation that allows developers to programmatically control the mouse and keyboard. It solves the problem of automating repetitive desktop interactions by providing a simple API that abstracts away complex operating system-specific details. This enables automation of tasks like form filling, software testing, and any manual GUI operation.
Python developers and testers who need to automate desktop applications, perform GUI testing, or create bots for repetitive computer tasks. It's particularly useful for QA engineers, system administrators, and developers building automation scripts.
Developers choose PyAutoGUI because it offers a consistent, human-friendly API across Windows, macOS, and Linux without requiring deep knowledge of native OS automation frameworks. Its simplicity and comprehensive feature set make it the go-to Python solution for desktop automation.
A cross-platform GUI automation Python module for human beings. Used to programmatically control the mouse & keyboard.
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Hides complex OS-specific APIs (Windows, macOS, Linux) behind a single, consistent Python interface, making automation accessible without deep system knowledge.
Provides straightforward functions like moveTo(), click(), and write() with clear coordinate systems and optional easing animations, as shown in the example usage.
Enables locating and clicking on graphical elements using screenshot matching with locateOnScreen(), allowing automation of UIs without direct API access.
Includes built-in functions for alert, confirm, prompt, and password dialogs that use the operating system's native message boxes for a seamless user experience.
Admits in the README that it only reliably works on the primary monitor, with mouse functions potentially failing on secondary displays depending on the OS and version.
Requires different dependencies per OS (e.g., pyobjc on macOS, Xlib on Linux), and on Linux, additional steps may be needed for Pillow to handle images correctly, complicating installation.
Image location features can be slow and unreliable if UI elements change visually, making automation scripts fragile for dynamic or frequently updated applications.
Focused solely on desktop GUI automation, lacking native support for web browsers, which forces integration with other tools like Selenium for web-based tasks.