How to Build a Local Biometric Dashboard Using DuckDB and Apache Superset

A developer tutorial published on DEV Community walks through building a privacy-focused, local biometric dashboard using DuckDB and Apache Superset. The project is designed to handle large volumes of health data — potentially tens of millions of rows — exported from devices like Apple Health, Oura Ring, and Garmin. DuckDB serves as the analytical engine, enabling direct querying of CSV and JSON files without a traditional data ingestion step, while dbt handles data modeling and transformation. Apache Superset is used for visualization, connecting to DuckDB via a SQLAlchemy URI to display trends such as resting heart rate and heart rate variability. The guide emphasizes a privacy-first approach, as all data processing occurs entirely on the user's local machine.