Make prometheus collect temperature, pressure and PM metrics from your airrohr station
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Updated
Sep 19, 2025 - Python
Make prometheus collect temperature, pressure and PM metrics from your airrohr station
Stay informed on air quality with this simple bot, which posts real-time updates from a configurable sensor on the https://sensor.community network to Mastodon and Bluesky. See it in action by following #feinstaub and #cannstatt on https://mastodon.online/@aschuma or https://bsky.app/profile/aschuma.bsky.social
An environment monitor based on a Raspberry Pi Zero W, a Pimoroni Enviro+ and a Plantower air quality sensor to monitor, display and report on air particles, gases, temperature, humidity, noise and air pressure.
A proxy from airRohr firmware measurements to InfluxDB
Python API for interacting with luftdaten.info
Server for receiving air quality data from a sensor.community sensor and writing it to InfluxDB and Home Assistant
Store the particulate matter data from a luftdaten.info sensor in BigQuery
Acquire and process live and historical air quality data without efforts. Filter by station-id, sensor-id and sensor-type, apply reverse geocoding, store into time-series and RDBMS databases, publish to MQTT, output as JSON, or visualize in Grafana. Data sources: Sensor.Community (luftdaten.info), IRCELINE, and OpenAQ.
Python/Raspberry Pi example with DFRobot SEN0177 PM2.5 laser dust sensor
luftdaten script for raspberry with enviro+
Raspberry Pi project that shows the health levels of PM2.5 and PM10 sensor readings from a Luftdaten air quality sensor
Create simple HTTP Server to receive Data from Sensors (https://luftdaten.info) and Publish these data separated for each value to your MQTT-Broker
Scientific research of the data quality and intensity of the project luftdaten.info
The host for the live data which is going to be displayed at https://apoapsishgv.github.io/
Utilities to work with sensors and data relating to air quality
Add a description, image, and links to the luftdaten topic page so that developers can more easily learn about it.
To associate your repository with the luftdaten topic, visit your repo's landing page and select "manage topics."