If you need a highly accurate, real-time weather forecasting system, Atmo is a great option. It uses AI and deep learning models to process global weather data from multiple sources and generate highly localized forecasts with the highest possible accuracy. Atmo's system can generate forecasts up to 40,000 times faster and with up to 100 times more detail than traditional models, making it great for applications that need the most precise and timely weather insights.
Another strong contender is Tomorrow.io, which offers a full weather resilience platform. It offers real-time weather data as well as forecasts up to 14 days in advance. The platform includes probabilistic forecasting, automated protocols and a generative AI for synthesized weather outlooks. That makes it a good fit for companies that need to mitigate weather risks and optimize operations, for example supply chain management and disaster recovery.
If you're a developer or business that wants to tap into weather data without the complexity of juggling multiple APIs, Weather Machine is a good option. It combines weather data from companies like The Weather Company, AccuWeather and AerisWeather into a single interface. The platform offers advanced forecast-aware caching and a variety of pricing tiers, so it's a good option for developers and businesses.