Gribstream.com – Historical Weather Forecast API
Hello! I'd like share about my sideproject https://gribstream.com It is an API to extract weather forecasting data from the National Blend of Models (NBM) https://vlab.noaa.gov/web/mdl/nbm and the Global Forecast System (GFS) https://www.ncei.noaa.gov/products/weather-climate-models/gl... . The data is freely available from AWS S3 in grib2 format which can be great but also really hard (and resource intensive) to work with, especially if you want to extract timeseries over long periods of time based on a few coordinates. Being able…
Gribstream.com – Historical Weather Forecast API launched on December 20, 2024 with 71 votes, #436 of 5,365 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Gribstream.com is an API that extracts weather forecast data from the National Blend of Models and Global Forecast System, sourcing freely available data from AWS S3. Rather than requiring users to download and process large grib2 files directly, it allows developers to query specific coordinates and time periods through simple HTTP requests. The service is designed for developers and researchers who need historical weather forecasting data for analysis, model training, or backtesting applications.
written from the facts on this page · September 2026
From the sources
Stop fighting weather data. GribStream gives you clean time-series forecasts from major public models—instantly. Pull any variable and coordinates, including full forecast history (every run exactly as it was published) so you can backtest, and train models without leakage—cheap in bulk and built for high throughput. Most weather APIs give you “latest.” GribStream gives you every forecast that ever existed. Query public models as clean time series, pick any “as-of” run for backtesting.
Global and regional forecasts, ensembles, satellite and radar data, hydrology, atmospheric composition, forecast archives, and reanalysis actuals through one weather API.
Query global and regional forecasts, ensembles, satellite and radar data, land-surface hydrology, atmospheric composition, and reanalysis actuals as they become available, then use the same API for forecast history. GribStream lets your application ask for exactly the weather data it needs: coordinates, time ranges, calculated fields, condition filters, and CSV, JSON, or NDJSON output. Three pillars that keep the data fast, the API simple, and the pricing predictable. Fetch fresh forecasts, reanalysis actuals, or months of hourly history for tens of thousands of points in one HTTP request, in seconds. Simple API, open-source clients and clear documentation. Try it in minutes. Predictable…from gribstream.com
In the maker’s words, at launch
Hello! I'd like share about my sideproject https://gribstream.com It is an API to extract weather forecasting data from the National Blend of Models (NBM) https://vlab.noaa.gov/web/mdl/nbm and the Global Forecast System (GFS)…
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