February 10 2025
GarminDB, a cutting-edge tool hosted on GitHub, is designed to provide a sophisticated solution for managing health and wellness data gathered by Garmin wearable devices. This powerful toolset allows users to import their diverse data, ranging from sleep statistics to heart rate and more, into a personal database, enabling them to have a comprehensive view of their health metrics.
This open-source project supports various Garmin data like daily monitoring files, activities, sleep, steps, heart rate, and more. It also boasts a high compatibility with different Garmin devices including Vivoactive 3, Fenix 5, and Forerunner 935, among others.
GarminDB is built on Python, SQLite, and Matplotlib technologies. SQLite is leveraged to store the data while Python is used to process the data and Matplotlib to visualize the data. This combination of technologies allows users to gain deep insights into their health and fitness trends over time.
The toolset also comes with a FitbitDB, a similar platform for Fitbit users. It supports Fitbit's sleep, heart rate, weight, body fat, and activities data, among others. Like GarminDB, FitbitDB utilizes SQLite for data storage, Python for data processing, and Matplotlib for data visualization.
The GarminDB project is maintained by Thomas C Goetz, a veteran software engineer with an extensive background in open source projects. Users can contribute to the project by reporting issues, suggesting features, or making contributions via GitHub.
