Unlock Your Garmin Data: Visualize Every Metric with a Self-Hosted Grafana Dashboard
Source: Dev.to
Quick Summary 📝
This repository provides a Dockerized Python script to fetch health data from Garmin Connect and store it in an InfluxDB database. The data can then be visualized using Grafana, allowing users to track long‑term health trends and create custom dashboards.
Key Takeaways 💡
- ✅ Garmin Grafana offers a simple Dockerized solution to fetch and locally store all your comprehensive health metrics from Garmin Connect.
- ✅ Achieve complete data autonomy and privacy by self‑hosting your fitness data, avoiding reliance on third‑party cloud services.
- ✅ Utilize the power of InfluxDB and Grafana to build custom dashboards, combining metrics like HRV, Sleep Score, and Body Battery for deeper insights.
- ✅ The project supports historical data backfilling and automatic syncing, making it a powerful “set and forget” solution for long‑term health tracking.
Project Statistics 📊
- Stars: 2,827
- Forks: 174
- Open Issues: 20
Tech Stack 💻
- ✅ Python
- Docker
- InfluxDB (time‑series storage)
- Grafana (visualization)
Overview
Are you tired of being restricted by the default dashboards in your fitness tracker app? If you own a Garmin device, you know the data is incredibly valuable, but the visualization options can feel limiting, and you don’t truly own that data locally. Garmin Grafana steps in, offering an open‑source solution to liberate your health metrics and turn them into actionable, fully customizable insights.
The project is a self‑hosted data pipeline wrapped in a Docker container. Its primary job is to act as a secure, automated bridge between your Garmin Connect account and your private database. It automatically connects to the Garmin servers, fetches all your comprehensive health metrics—granular heart‑rate data, detailed sleep patterns (including SpO₂, breathing rate, and HRV), stress levels, and Body Battery scores—and pipes this information directly into an InfluxDB instance running on your local machine or server.
Architecture
- Docker container – handles extraction and loading (ETL).
- InfluxDB – stores time‑series data.
- Grafana – provides the visualization layer.
This modular setup is easy to deploy (with helper scripts or Helm/Kubernetes charts) and easy to maintain. Once configured, the system automatically syncs new data shortly after every Garmin Connect upload, keeping your local store current.
Custom Dashboards
Connecting Grafana to the local InfluxDB instance removes the limitations of the official app. You can create completely custom dashboards, combine metrics that Garmin never thought to put together, and track trends over months or years without data averaging. Examples include:
- Correlating sleep score with running pace over a six‑month period.
- Analyzing Body Battery recovery alongside a stress heatmap.
Privacy and Export
By hosting the stack yourself, you eliminate the risk of sharing sensitive health data with third parties. The data can be exported as CSV files for advanced analysis, integration with Python scripts, or local AI models, giving you true data autonomy and deeper insights into your fitness journey.