⭐️ If you like this project, give it a star!
A real-time system monitoring dashboard built for the Raspberry Pi 5, using Flask, Socket.IO, and Chart.js. Tracks key performance metrics including CPU usage, memory, temperature, fan speed, network I/O, disk activity, and PMIC power draw — all in a sleek, dark-themed UI.
- Live-updating charts for:
- CPU usage (%)
- Memory usage (%)
- CPU temperature
- CPU and GPU frequency
- Fan Speed (RPM)
- Disk usage (%)
- Disk I/O (MB/s)
- Network I/O (MB/s)
- PMIC power draw (W)
- Auto-min/max tracking for power
- Socket.IO WebSocket updates
- Bootstrap 5 + dark mode styling
- Optional floating stat indicators
- CPU Pressure (%) normalized to 1-minute load based on core count
- Dynamic CPU load status badge (OK / BUSY / OVERLOADED)
- Python 3.7+
- Raspberry Pi 5
- Flask
psutiland related system tools- (Optional)
vcgencmd,zramctl, or any sensors you want to add
⚙️ Lightweight by Design This dashboard is built with efficiency in mind:
RAM Usage: Typically under 100MB total, including the Python runtime, Flask server, and WebSocket background updates.
CPU Impact: Negligible. System stats are fetched periodically with lightweight tools like psutil, avoiding constant polling or heavy shell loops.
Zero bloat: No heavy frameworks or services. Just HTML, Bootstrap, Chart.js, and a minimal Flask backend.
Headless-optimized: Ideal for headless Raspberry Pi boards, even those with limited memory.
Self-cleaning: No background daemons, logs, or databases to maintain. All data is stored in memory and automatically resets on reboot.
The goal of this project is to provide a visually modern and extensible dashboard that stays well within the performance envelope of even a 2GB Pi board, while being easy to expand for custom use cases like Pi-hole stats, power monitoring, or even LLM integrations.
# Connect to your PI so that you can issue commands
SSH to Pi if using another device on your netowrk (like a PC) or remote into Pi and use local terminal
# Clone the repo (Pi-Monitor directory will be created in the current directory the command is being ran from)
git clone https://github.com/g1forfun/Pi-Monitor.git
cd Pi-Monitor
# Create virtual environment
python3 -m venv venv
source venv/bin/activate
# Install dependencies
pip install -r requirements.txt
# Run it
python app.py
# Access the Web Dashboard
In your browser http://<Your PI's IP>:5000
# Recommendations
-Setup the app.py to run as a service using SystemD and enable autostart on boot
Now you have a dashboard that is always running silently in the background!
-Open port 5000 if you are using a firewall on your Pi to access the dashboard from other devices on your network!