PandoroML/LOAF
LOAF (Local Observations and Atmospheric Forecasting) is an open source hyperlocal weather forecasting combining gridded forecasts with local station observations using machine learning and open-source hardware.
This project helps you create highly accurate, localized weather forecasts for a specific spot where standard weather models aren't precise enough. It takes data from your DIY local sensors and combines it with broader regional forecasts to produce custom, real-time predictions. This is for researchers, environmental monitors, or anyone needing very specific weather insights for an off-grid or remote location.
Use this if you need transparent, highly accurate weather predictions for a unique location, like an off-grid research site or a backyard wind turbine, and want to build your own system.
Not ideal if you're looking for general city-level forecasts or don't want to build and manage your own sensor hardware and local computing setup.
Stars
11
Forks
—
Language
Python
License
MIT
Category
Last pushed
Feb 02, 2026
Commits (30d)
0
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