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Process Behavior Profiler is a local Python-based monitoring tool designed to analyze running processes in real time. It detects suspicious activities, high resource usage, and potential malware indicators — all while ensuring full data privacy with no cloud dependency.
- 🔎 Live Process Monitoring: Real-time display of all active system processes
- 📊 Resource Usage Detection: Highlights processes with high CPU or memory load
⚠️ Anomaly Flagging: Detects potentially suspicious names (e.g. crypto, miner)- 🔒 Local-Only: All analysis is performed entirely on your local machine
- 🧰 Simple GUI: Interactive interface with live updates every 5 seconds
Make sure Python 3.10+ is installed on your system.
bash pip install -r requirements.txt
Run the profiler using:
bash python main.py
Once launched, it will:
- Display all processes in a table
- Highlight anomalies in red
- Update live every 5 seconds
process_behavior_profiler/ ├── main.py # Entry point ├── gui.py # GUI and interface logic ├── monitor.py # Data collection using psutil ├── detector.py # Basic anomaly detection logic ├── requirements.txt # Required Python libraries └── README.md # Project documentation
- Python 3
- psutil
- pandas
- tkinter (for GUI)
MIT License – Free to use, modify, and distribute.
This tool performs all processing locally. No data leaves your device.
It is fully privacy-compliant and GDPR-friendly.