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air-quality-measurements

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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.

  • Updated Dec 19, 2022
  • Python

sensors.AFRICA is a citizen-science focused project by Code for Africa that seeks to address data gaps by providing low cost sensors, which people can use to measure and monitor the quality of the air, water, and sound in their communities.

  • Updated Nov 27, 2024
  • JavaScript

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