With recent earthquakes and tsunami warnings, real-time data is more relevant than ever. So, we built a custom data app in minutes using the USGS Earthquake Haz

With recent earthquakes and tsunami warnings, real-time data is more relevant than ever. So, we built a custom data app in minutes using the USGS Earthquake Hazards Program API using Preswald built by @StructuredLabs 1⃣ Ingestion -- With comment-driven code, we connected to the USGS Earthquake Hazards Program API. Preswald generated the necessary Python code to ingest data with dlt and store it locally in a postgres instance. 2⃣ Transformation -- Preswald surfaced schema definitions and pre-suggested SQL transformations like seismic hotspots and earthquake frequency. Want to analyze trends by region or time? A few clicks, and you're there. 3⃣ Orchestration -- We configured a pipeline to refresh the data every 5 minutes and validate schema changes. Real-time data? Covered. Schema safety? Automatic. 4⃣ Visualization -- In seconds, Preswald generated the code for a Python-based interactive app—complete with a map to visualize seismic activity. Whether in VSCode or localhost, insights were live with minimal friction. From API connection to live visualization, this was built entirely with code, in a fraction of the time it would typically take. Preswald automates the repetitive parts of building data apps while keeping developers in the driver’s seat.