Meteostat is one of the largest vendors of open weather and climate data. Access long-term time series of thousands of weather stations and integrate Meteostat data into your products, applications and workflows. Thanks to our open data policy, Meteostat is an ideal data source for research and educational projects.
Help Meteostat provide free weather and climate data by donating via PayPal (opens new window).
# Our Services
Meteostat provides multiple interfaces for retrieving weather and climate data. Please choose from one of the following options:
- JSON API: Simple and fast access of Meteostat data in JSON format
- Python Library: Analyze historical weather data for thousands of weather stations
- Bulk Data: Download full data dumps of individual weather stations
# About Meteostat
If you’re looking for climate data, there are plenty of governmental interfaces that provide open access to the weather data made available by national meteorological offices. The data provided by organizations like NOAA, DWD and Environment Canada is a valuable resource to science, education, businesses and every individual looking for weather and climate data.
However, all these interfaces use different data formats and procedures for accessing the information. It requires tremendous effort and maintenance to keep your own database of weather and climate statistics up-to-date. And that is what Meteostat is made for. Instead of running your own database, import routines and quality assurance measures you are ready to start developing weather and climate data driven applications in just a few minutes.
Get the information you need with just one HTTP request or download full data dumps by weather station. Meteostat powers everything from a small data science project to the largest universities and businesses in the world.
In contrast to most other weather-related applications and APIs, Meteostat focuses on historical weather and climate data that was actually measured on-site by weather stations around the globe. You can either retrieve raw observations of individual weather stations which are free of interpolation or use our comfortable point data to query data by geographic location.