Weather for data science

Historical and forecast weather data for your AI applications

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Simple and fast access to hyper-local weather data across the globe.

Accurate historical and real-time weather forecasts for your own machine-learning applications.


We make weather models simple to access and use for machine-learning without complicated APIs.

We can improve the performance of many timeseries forecasting models simply by including relevant weather inputs.

Thousands of parameters

Our integrations include thousands of parameters, ready to include in ML models written in Tensorflow, PyTorch, XGBoost and more.