If you're looking for a weather API that offers real-time data and probabilistic forecasting, Tomorrow.io is a broad option. It offers hyper-accurate weather data and forecasts up to 14 days into the future, along with historical weather data going back 20 years. The service includes probabilistic forecasting with 51 weather scenario outcomes and uses a generative AI for personalized weather forecasts and recommendations. That makes it a good option for companies that need to assess weather risks and take proactive actions.
Another powerful option is Atmo, an AI weather forecasting service that uses deep learning models to constantly update forecasts. Atmo offers hyper-local weather forecasts with up to 50% more accuracy than traditional forecasts, and it can forecast at a 1km by 1km resolution. That level of detail can be useful for applications that require more precise weather data, such as government and corporate use.
If you're a developer or business that wants a single interface to weather data, Weather Machine aggregates data from multiple forecast APIs like AccuWeather and AerisWeather. It offers a unified JSON endpoint and a GraphQL endpoint for conditional requests, along with an advanced forecast-aware caching system to minimize data usage. The service is designed to let developers incorporate weather data into their apps without the hassle of juggling multiple APIs.