How to Build a Personal Health Dashboard Using InfluxDB, Grafana, and Airflow

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A technical tutorial published on DEV Community walks developers through building a unified personal health dashboard that consolidates data from Apple Health, Oura Ring, and Garmin into a single view. The setup uses InfluxDB as a time-series database, Grafana for visualizations, and Apache Airflow to automate daily data syncing via scheduled ETL pipelines. Python and Pandas are used to normalize inconsistent data formats across sources, such as per-second Garmin heart rate readings versus nightly Oura summaries. The guide provides sample code for uploading cleaned health metrics to InfluxDB and defining an Airflow DAG that runs every morning at 8:00 AM. The goal is to enable users to correlate sleep, activity, and recovery metrics in one professional-grade dashboard rather than across isolated apps.

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