🖥️ Pi 5 Performance Dashboard

⭐️ 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.

📸 Screenshot

🚀 Features

• 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)

📦 Requirements

• Python 3.7+
• Raspberry Pi 5
• Flask
• psutil and 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.

🛠️ Installation

# 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!