Oikolab
Provides analysis-ready historical and forecast weather datasets via API and no-code downloader without processing raw data
A weather and climate data API and no-code downloader that provides analysis-ready historical and forecast datasets, solving the problem of extracting and processing terabytes of raw data from meteorological agencies. It sells to data analysts, developers and researchers in businesses, government agencies and academic institutions including Fortune 500 companies. It is delivered as a cloud-optimized infrastructure API with JSON, CSV and NetCDF outputs and a no-code CSV tool, providing transparent access to unadulterated source datasets such as ERA5, HRRR and GFS.
Key features
- 80+ years historical weather data from 1940
- Global coverage weather data
- 60+ weather parameters
- JSON, CSV and NetCDF formats
- Time-series data access
- Forecast and archived forecast data
- Air quality forecast (SILAM)
- Ensemble forecast (GEFS)
- Seasonal forecast models
- Regional forecast models
- ERA5 and ERA5Land datasets
- Gridded data via NetCDF
- Hourly, daily and monthly aggregations
- Mean, max and min values
- AMY and TMY EPW files for simulation
- No-code Weather Data Downloader to CSV
Social posts
- No social media activity within the last 30 days
GTM channels
- Blog
- Docs
ICP
- Data analytics teams
- Software developers
- Government public sector