GribStream offers an API for on-demand access to historical weather data from models like NBM and GFS, eliminating the need for users to download or archive large datasets. The platform provides scalable, cost-effective solutions for retrieving weather data, enabling faster access for both small projects and large-scale applications.
Funding
Funding not disclosed
Founders
Product
Problem
Accessing historical weather data typically requires users to download and archive large datasets from various sources, which can be time-consuming and resource-intensive. Managing and querying these datasets demands significant infrastructure and expertise, creating a barrier for smaller projects and applications.
Solution
GribStream offers an API that provides on-demand access to historical weather data from state-of-the-art models, including NOAA's NBM, GFS, HRRR, and Google's GraphCast GFS. This eliminates the need for users to download or archive large datasets, enabling faster access and analysis of global weather conditions. The platform functions as a weather data cloud database, allowing advanced database-style queries with calculated fields and powerful filtering to search for specific weather conditions. GribStream delivers this data with high speed and cost-effectiveness, making it suitable for both small projects and large-scale applications.
Target Audience
The primary users are developers, researchers, and businesses needing historical weather data for applications ranging from small projects to large-scale deployments.
Features
- API access to historical weather forecast data from NOAA's NBM, GFS, HRRR, RAP, GEFS, and CFS models, as well as Google's GraphCast GFS.
- Support for CSV, JSON, and JSON lines response formats.
- Location filtering by latitude and longitude.
- Time filtering by range or list.
- Ability to extract "best" timeseries.
- Asof/Time-travel functionality for querying data at specific points in time.
- Capability to create calculated fields.
- Functionality to search for specific weather conditions.
- Caching with LRU expiration for frequently accessed requests.