For a reliable weather API service that offers historical, real-time and forecast data, Meteomatics is a good choice. It provides continuous access to global high-resolution weather and climate data, including historical, real-time and forecast data up to 2100. The service also offers customizable weather alerts, a weather data shop for direct downloads, and Energy Forecasting for detailed predictions of solar, wind and hydropower. Its modern and sustainable data collection methods, combined with a high-resolution map view of weather events, make it a useful tool for businesses.
Another powerful option is Tomorrow.io, which offers hyper-accurate weather data and forecasts through its weather resilience platform. It offers real-time weather data, historical weather API, and automated protocols to help businesses forecast, automate, and weather-proof their operations. The service also offers probabilistic forecasting and a generative AI for synthesized weather outlooks and personalized recommendations, which makes it useful for supply chain management and disaster recovery.
If you want a single interface to multiple forecast APIs, Weather Machine aggregates data from sources including The Weather Company, AccuWeather and AerisWeather. It offers two interfaces, including a Dark Sky-compatible JSON endpoint and a GraphQL endpoint for more specific data requests. The service is designed to cut data costs while preserving speed and accuracy, so it can be a good option for businesses and developers who want to add weather data to their apps.
For hyper-local weather forecasting, Atmo uses deep learning models to consume global weather data from a variety of sources and produce very accurate forecasts. It's geared for hyper-local weather insights and can produce forecasts up to 40,000 times faster than traditional models. That makes it a good option for apps that need very localized weather data.