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senlytics — Sensor Data, Smarter Analytics

senlytics is a lightweight Python toolkit for fetching, cleaning, and analyzing data from low-cost environmental sensors — with a focus on air quality.

Whether you're running community science projects, research deployments, or smart city trials, senlytics gives you a streamlined way to work with sensor networks like AirGradient, and easily generate insights from raw data.

🔧 Features

  • 📡 Batch + parallel fetching from AirGradient API (raw or past mode)
  • 📊 Automated cleaning and resampling
  • 🧪 Built-in performance metrics (bias, RMSE, FAC2, R², and more)
  • 🖼️ Interactive and static plotting (Holoviews & Matplotlib)
  • 📈 Diurnal, weekday/weekend, and comparative analytics
  • 🛠️ Ready-to-deploy pipelines for research and real-world deployment

🔍 Example Use Cases

  • Academic research on urban air pollution
  • Citizen science sensor networks
  • Evaluating sensor calibration against reference instruments
  • Generating rapid time-series summaries and plots

🧪 Supported Inputs

  • AirGradient sensors (CO₂, PM1/2.5/10, TVOC, Temp/RH, NOx index)
  • Any dataset in similar tabular format with timestamps and pollutant columns