How to Install PyAutoGUI in Kaggle

Last Updated : 14 Mar, 2026

PyAutoGUI is a Python module that allows users to control the keyboard and mouse, take screenshots, and automate various tasks on their system. It is commonly used for:

Automating repetitive tasks.
Taking screenshots for testing and debugging purposes.
Creating bots for specific activities like web scraping.
Simulating user inputs in applications.

Prerequisites:
Before starting, ensure you have:
A Kaggle account
Basic familiarity with Kaggle Notebooks
Basic Python knowledge

Installing PyAutoGUI via Kaggle Notebook

Here’s how to install PyAutoGUI in your Kaggle Notebook:

Step 1: Open your Kaggle Notebook

Log in to your Kaggle account
Open an existing notebook OR create a new notebook

👁 Kaggle_notebook

Install PyAutoGUI in Kaggle

Step 2: Install PyAutoGUI

In your notebook, add a new code cell.
Type the following command and run the cell:

!pip install pyautogui

This command tells Python to install the PyAutoGUI library using pip, Python’s package installer.

👁 nxxabhjacb

Install PyAutoGUI in Kaggle

Step 3: Verifying the Installation

After installing PyAutoGUI, you should check to make sure it was installed correctly:

Import PyAutoGUI:

Add another code cell.
Type and run

Print the version: This helps confirm that PyAutoGUI is available in your notebook.

In the same cell, add:

Run the cell. If PyAutoGUI is installed, it will display the version number.

Why PyAutoGUI is Not Pre-installed in Kaggle

PyAutoGUI is not pre-installed in Kaggle for several reasons:

Limited Usage: The library is typically used for local system automation, which is less relevant in a cloud-based environment like Kaggle.
Security Concerns: Allowing unrestricted access to system-level operations like keyboard and mouse automation could pose security risks.
Platform Restrictions: Since Kaggle is a virtual environment, some functionalities of PyAutoGUI (like moving the mouse cursor) may not work as they do on a local machine.

Alternative Methods to Use PyAutoGUI in Kaggle

If you encounter issues with PyAutoGUI in Kaggle, there are a few alternative methods you can use:

Run Locally: If PyAutoGUI’s functionalities are restricted in Kaggle, you can always download the notebook and run it locally on your computer, where all PyAutoGUI features will be available.
Use Other Libraries: For tasks that PyAutoGUI typically handles, consider using other libraries that work better in a virtual environment. For example, you can use the Selenium library for web automation in a headless mode, which works well on Kaggle.