pyautogui vs UFO

Desktop automation projects compared

pyautogui automates mouse and keyboard actions in desktop applications through a shared Python interface. UFO combines Windows desktop automation with an agent framework for coordinating tasks across devices, so its scope extends from individual desktop work to multi-agent workflows.

pyautoguiUFO
LanguagePythonPython
LicenseBSD-3-ClauseMIT
Stars12.7k9.9k
Forks1.4k1.1k
Last analyzedOct 9, 2026Oct 3, 2026

Key differences

  • pyautogui supports Windows, macOS, and Linux desktop interactions, while UFO² focuses on Windows and UFO³ Galaxy coordinates agents across devices.
  • pyautogui uses mouse, keyboard, dialogs, and screenshot-based image matching; UFO combines GUI and API actions with task planning and device coordination.
  • UFO Galaxy supports dependency-aware task graphs, device assignment, and parallel execution, while pyautogui focuses on direct desktop actions.
  • pyautogui is licensed under BSD-3-Clause, while UFO is licensed under MIT.
  • pyautogui is marked inactive, while UFO Galaxy is under active development and UFO² is presented as the stable, long-term-support option.
  • Both projects use Python; UFO requires configuring an LLM provider, and Galaxy also requires device-agent and orchestration setup.

Choose pyautogui if you…

  • need mouse, keyboard, dialog, or screenshot-based automation in desktop applications.
  • want one interface for desktop workflows on Windows, macOS, or Linux.
  • prefer a focused library for direct interactions rather than coordinating agents across devices.
Read the pyautogui analysis →

Choose UFO if you…

  • need Windows desktop automation that combines GUI interaction and API actions.
  • want to coordinate multi-step work across device agents with task dependencies or parallel execution.
  • are building device agents or workflows that use an LLM provider and orchestration configuration.
Read the UFO analysis →

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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.