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.
- 📡 Batch + parallel fetching from AirGradient API (
raworpastmode) - 📊 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
- Academic research on urban air pollution
- Citizen science sensor networks
- Evaluating sensor calibration against reference instruments
- Generating rapid time-series summaries and plots
- AirGradient sensors (CO₂, PM1/2.5/10, TVOC, Temp/RH, NOx index)
- Any dataset in similar tabular format with timestamps and pollutant columns