My PC wasn't crashing or freezing. It just felt slower than it should.
Normally I'd open Task Manager, stare at 50 processes, close a few Chrome tabs and hope for the best.
This time I wondered:
Can Python tell me what's actually happening?
So I built a small PC performance checker using Python and psutil.
What I Made It Check
I kept the first version simple:
CPU usage
RAM usage
available RAM
disk space
top RAM-consuming processes
possible resource bottlenecks
The core measurements only needed a few lines:
cpu = psutil.cpu_percent(interval=1)
ram = psutil.virtual_memory()
disk = psutil.disk_usage("C:\")
Then I added process monitoring and some basic diagnostic logic.
The Result Surprised Me
I ran it on my actual PC and got:
CPU Usage : 3.4%
RAM Usage : 65.0%
RAM Available : 5.4 GB
Disk Usage : 30.0%
Disk Free : 273.4 GB
The result:
[OK] No major resource bottleneck detected right now.
But there was something interesting.
MemCompression was the largest individual RAM consumer, while several Chrome processes also appeared near the top.
At first, it's tempting to think:
Biggest process = thing slowing down my PC.
That's not necessarily true.
A process using the most RAM doesn't automatically make it the cause of poor performance. And a single snapshot can't detect things like thermal throttling, intermittent CPU spikes, driver problems or failing storage.
That ended up being my biggest takeaway from this little experiment:
Collecting performance data is easy. Interpreting it correctly is the hard part.
Want to Test Your PC?
I turned this into a complete runnable checker instead of dumping a huge block of code here.
👉 [Get the Complete Python PC Performance Checker + Setup Guide]
It includes the full script and instructions for running it yourself, even if you're new to Python.
Next, I want to make it monitor performance over time instead of taking just one snapshot.
What would you add to Version 2?
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