How Can I Efficiently Retrieve System Metrics (CPU & Memory Usage) in Python Across Different Platforms?

Retrieving System Metrics with Python

To obtain critical system status information, including CPU and memory usage, on both Unix and Windows platforms, various methods are available.

Platform-Specific Approaches

One option involves using platform-specific libraries such as os.popen() for Unix systems or ctypes.windll.kernel32 for Windows. These can be combined in a Python class to create a cross-platform implementation.

psutil Library

A more comprehensive and well-supported solution is the psutil library. It provides a portable interface for retrieving information on system utilization and running processes. It supports various platforms, including Linux, Windows, macOS, and others.

Examples with psutil

• CPU Usage: psutil.cpu_percent()
• Memory Usage: psutil.virtual_memory() can be converted to a dictionary using _asdict(), then retrieve the percentage used RAM: psutil.virtual_memory().percent

Documentation and Additional Concepts

For further details and advanced concepts, consult the psutil documentation at:

• https://psutil.readthedocs.io/en/latest/

Conclusion

Using the psutil library offers a platform-agnostic and well-maintained solution for retrieving system metrics such as CPU and RAM usage in Python.

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