This is a Python-based GUI Data Tracker that allows users to monitor system resources like CPU usage, memory usage, and network activity in real-time. It includes a simple and user-friendly graphical interface built using Tkinter (or PyQt, depending on your choice).
✅ Features Built with Python and GUI (Tkinter or PyQt)
Real-time display of:
🔹 CPU usage
🔹 Memory usage
🔹 Network upload/download speed
Live updating charts or labels
Option to export tracked data to .csv
Adjustable tracking interval
Easy-to-use interface for both beginners and advanced users
🛠️ Technologies Used Python 3.x
GUI Framework: Tkinter (or PyQt5)
psutil – to fetch system stats
matplotlib (optional) – for real-time plotting
csv, datetime, time – for logging and time control
🧑💻 How to Run
- Clone the Repository bash Copy Edit git clone https://github.com/SurajKeshri95/data-tracker-gui.git cd data-tracker-gui
- Install Required Packages bash Copy Edit pip install psutil
- Run the Application bash Copy Edit data_tracker_gui.py 🖥️ Interface Overview CPU, Memory, and Network usage displayed live
Start/Stop tracking with a button
Save log to .csv file
Set custom time intervals via input field
📁 Sample Output Log scss Copy Edit Timestamp,CPU_Usage(%),Memory_Usage(%),Upload(KB),Download(KB) 2025-06-09 16:25:30,15.3,42.7,102.4,88.9 2025-06-09 16:25:35,16.8,43.2,110.5,90.1 🧰 Use Cases Desktop resource monitoring tool
Helpful for developers and system admins
Educational tool to learn system performance tracking
Basis for more complex monitoring dashboards
🚀 Future Enhancements Add dark/light theme switch
Enable notifications for high resource usage
Export logs to PDF
Cloud sync of logs
Optional background mode