Production Analyser is a Python-based industrial dashboard designed to decode the rhythm of your production line. It captures real-time metrics from PLC systems, visualizes fault and delay patterns through dynamic pie charts, and empowers engineers with actionable insights—all within a modular, customizable interface.
Whether you're simulating data with a mock PLC server or deploying in a live factory environment, the tool adapts to your workflow with configurable tags, intuitive layouts, and a clean separation of logic. Built with PyQt5 and backed by pandas and NumPy, it’s engineered for responsiveness, clarity, and rapid iteration.
From hackathon heroes to factory floor pros—empower your team to monitor, analyze, and refine production performance like never before.
Real-time fault analysis dashboard—your production line, visualized.
- 🔌 Real-Time PLC Integration – Pull metrics directly from PLC systems or simulate with a built-in mock server.
- 📊 Dynamic Visualizations – Interactive pie charts for fault/delay patterns, plus customizable graphs.
- 🧩 Modular & Customizable – Configure tags via JSON/Excel, rearrange layouts, and extend with plugins.
- 📈 Actionable Insights – Automated alerts, trend analysis, and exportable reports.
- ⚡ Responsive Performance – Powered by PyQt5 for smooth GUI, with pandas and NumPy for fast data crunching.
- 🌍 Cross-Environment Ready – Works in simulated dev setups or rugged industrial deployments.
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Getting started is easy! Follow these steps:
# Clone the repository
git clone https://github.com/yourusername/production-analyser.git
cd production-analyser
# Create a virtual environment (recommended)
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -r requirements.txtBuilt with love using open-source magic: PyQt5, pandas, and NumPy. Inspired by industrial IoT challenges at hackathons and real-world deployments. Thanks to the Python community for tools that make automation accessible.