Prompt
What should I use for weather data and forecasts API?
Latest observation
It depends on what you need, but here are the best common options:
Good general-purpose choices
- OpenWeather — popular, easy to use, broad coverage, good docs.
- WeatherAPI.com — very developer-friendly, simple endpoints, includes current, forecast, astronomy, and air quality.
- Tomorrow.io — strong for forecast-heavy apps and weather intelligence; good for business use cases.
- Visual Crossing Weather — great for historical + forecast data, easy aggregation.
If you need high-end / enterprise-grade data
- AccuWeather — polished forecasts and strong brand/data quality.
- The Weather Company / IBM — enterprise-focused, very robust.
- Meteomatics — very powerful for advanced weather modeling and specialized use cases.
If you need free or low-cost options
- Open-Meteo — no API key required for many use cases, great for forecasts and open data.
- NWS API — excellent for U.S. weather data, free and official, but only covers the U.S.
My quick recommendations
- For a simple app or prototype: OpenWeather or WeatherAPI
- For free/open data: Open-Meteo
- For U.S.-only official data: NWS API
- For business/forecast intelligence: Tomorrow.io or Meteomatics
What to consider when choosing
- Coverage: global vs U.S.-only
- Forecast accuracy and update frequency
- Historical weather availability
- Pricing and rate limits
- Ease of integration
- License/usage restrictions
If you want, I can recommend the best one for your specific project — for example:
- mobile app
- website
- logistics/route planning
- agriculture
- outdoor events
- travel app
Observation history
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OpenAI,
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Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
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Copilot,
Meta AI,
Qwen.
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