Open-Meteo review 2026: pricing tiers, forecast accuracy, historical data access, self-hosting options, and the best alternatives to this open-source weather…
Open-Meteo is an open-source weather forecast API built for developers who need reliable, high-resolution weather data without the cost or complexity of commercial weather providers. Instead of running a single proprietary forecast model, it aggregates open data from more than 15 national weather services around the world and normalizes it into one consistent API response, covering current conditions, hourly and daily forecasts, and historical archives.
The project was founded by Swiss meteorologist and software developer Patrick Zippenfenig through OpenMeteo GmbH in 2022. It has since become a popular free tier option for hobby projects, dashboards, research, and low-to-mid volume commercial applications, while offering paid subscription tiers for higher-volume commercial use.
Open-Meteo's core strength is breadth of data: it blends numerical weather prediction models from agencies such as NOAA, DWD, ECMWF, the UK Met Office, Meteo-France, and JMA, letting developers query a single endpoint instead of integrating each source separately. It supports current conditions, hourly forecasts, 16-day outlooks, and a historical weather archive going back decades for backtesting and analytics.
Beyond general weather, Open-Meteo offers specialized APIs for marine and ocean conditions, air quality, flood forecasting, and climate change projections. The entire codebase is open source and published on GitHub, so teams that need full control or data sovereignty can self-host their own instance rather than depend on the hosted service.
Open-Meteo is free for non-commercial use, with no API key required and generous limits of up to 300,000 calls per month. Commercial use requires a paid plan, purchased as a fixed monthly call budget rather than per-request billing, which makes costs predictable for production applications.
Paid tiers scale from API Standard (1 million calls per month) to API Professional (5 million calls per month) up to API Enterprise (50 million or more calls per month with priority support and custom solutions). Subscriptions are managed through a self-service customer portal, and users can upgrade, downgrade, or cancel at any time.
Yes, for non-commercial use the core weather API is free with generous rate limits and no API key required; commercial applications require a paid subscription plan.
No API key is needed for the free non-commercial tier. Paid commercial plans use an API key tied to a monthly call budget.
It blends open data from more than 15 national weather services, including NOAA, DWD, ECMWF, the UK Met Office, Meteo-France, and JMA, rather than running its own proprietary model.
Yes, the full source code is published on GitHub under an open-source license, so technical teams can run their own instance for full data control.
Yes, it offers a historical weather archive API with decades of reanalysis data, suitable for analytics, backtesting, and research.
Open-Meteo is developed by OpenMeteo GmbH, founded by meteorologist and developer Patrick Zippenfenig and based in Switzerland.
Paid plans are priced around a fixed monthly call budget rather than per-call billing; teams needing more capacity can upgrade tiers or contact sales for an enterprise quote.