Fortunately, there are several methods available to check your CPU usage on a Raspberry Pi.
This knowledge can be particularly useful when running resource-intensive tasks or projects on your Raspberry Pi.
you could choose the method that best suits your needs and comfort level.
The command line provides a quick and efficient way to gather information about your system, including CPU usage.
you’ve got the option to press q to exit the top command.
It also shows other valuable information, such as memory usage and system uptime.
Another useful command line utility to check your CPU usage is the uptime command.
It provides a quick snapshot of the CPU usage and system uptime.
The top command provides a dynamic view of the processes running on your system, including their CPU usage.
The top command lists all running processes, sorted by their CPU usage in descending order.
The process with the highest CPU usage will be displayed at the top.
To exit the top command, simply press the q key.
Using the top command is a straightforward and efficient method to monitor CPU usage on your Raspberry Pi.
htop is an interactive process viewer that provides a more detailed and user-friendly interface compared to the top command.
The processes are sorted by their CPU usage percentage, with the most resource-intensive processes listed at the top.
To exit htop, simply press the q key.
The htop tool offers a more interactive and comprehensive way to monitor CPU usage on your Raspberry Pi.
This pre-installed tool offers a visual representation of system resources, including CPU usage.
Once launched, the System Monitor system will display a window with several tabs, including the Resources tab.
tap on the Resources tab to view the CPU usage and other resource information in real-time.
The CPU usage is represented graphically, showing the percentage of CPU usage over time.
The System Monitor system offers a user-friendly and intuitive interface for monitoring your Raspberry Pis CPU usage.
To get started, create a new Python script using your preferred text editor on your Raspberry Pi.
you might adjust the interval based on your specific requirements.
you’re free to then use thecpu_usagevariable to perform further actions based on the CPU usage data.
Throughout this guide, we have explored several methods to check CPU usage on a Raspberry Pi.
This method is perfect for users comfortable with the terminal and offers real-time insights into CPU usage.
For those looking for a more comprehensive and interactive experience, we explored the htop tool.
Lastly, we explored the option of writing a Python script to check CPU usage.
