Launched this week
PyWeatherEnriched
Hyperlocal weather enrichment engine for your datasets
8 followers
Hyperlocal weather enrichment engine for your datasets
8 followers
Transform your sales, delivery, healthcare, IoT, and retail data by automatically enriching it with hyper-local weather context, enabling weather-aware analytics and forecasting. PyWeatherEnriched solves this by enriching operational data row-by-row with hyperlocal weather data—not city-level averages, but street/building-level precision reconstructed from multiple data sources.
Used it to enrich a week of delivery data and the street-level precision actually moved the needle on our late shipment analysis in a way city averages never did. Setup was straightforward, though I wish the docs had more examples for non-retail use cases.
One thing that would be really useful is a simple caching layer for the weather lookups, especially when enriching large datasets with overlapping date ranges and nearby locations. Could save a lot of API calls and speed things up significantly.