Dev Tools · 2h ago
Build a Heart Rate Dashboard with DuckDB and Streamlit
This tutorial shows how to use DuckDB, a columnar query engine, to analyze heart rate CSV data with 100k+ rows in milliseconds. The pipeline ingests raw data directly, aggregates it with SQL, and visualizes results via Streamlit and Plotly. The approach leverages vectorized execution for fast time-series analysis.
Meridian48 take
The tutorial is a practical demo of DuckDB's speed for personal analytics, but the real value is in showing how lightweight tools can handle large datasets without cloud infrastructure.
Read the full reporting
Mastering the "Quantified Self": Building a Blazing-Fast Heart Rate Dashboard with DuckDB and Streamlit →
DEV Community
duckdbstreamlit