GribStream - Weather Forecasts Database.

GribStream is a weather forecasts database that provides historical weather data via an API. It offers ultra-fast access to global weather forecast data from NOAA, ECMWF, and AI models.

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At a glance

Pricing

Paid · Usage-based

Free tier

API

Yes

Skill level

Technical

About

What is GribStream - Weather forecasts database.?

GribStream is a powerful historical weather forecast API providing ultra-fast access to global weather data. It leverages state-of-the-art weather model families from NOAA, ECMWF, and leading AI systems, including NBM, RTMA Rapid Update, HRRR sub-hourly, GEFS, CFS, IFS, and GraphCast. The platform delivers full forecast history at lightning-fast speed, enabling advanced database-style queries with calculated fields and powerful filtering. Users can instantly search for specific weather conditions, not just raw data, making it ideal for ML, research, and various applications. GribStream offers consistent query semantics across diverse datasets and provides open-source clients and clear documentation for ease of use.

Best used for

Ideal for data scientists and developers who need to access historical weather forecasts, analyze past weather conditions, and backtest models without data leakage. Especially valuable for machine learning applications, research, and building weather-dependent applications requiring high-speed data access.

Common actions

access weather data

analyze historical forecasts

integrate weather API

backtest models

climate techweatheranalytics

Capabilities

Key features

Historical weather forecast API
NOAA, ECMWF, AI models
Advanced database queries
JSON, CSV output
Open-source clients
Fast data access

Target Audience

product managerstartup founder

Integrations

Not yet documented

Pricing & Plans

Paid · Usage-based

Not publicly disclosed. Check gribstream.com for current pricing.

FAQs

How is API quota calculated for GribStream?

Credits are charged based on returned valid times, parameters, and coordinates. GribStream does not charge for times that are not returned, and cache hits are billed at 10% of normal credits. This ensures cost-effectiveness by only billing for actual data consumption.

Can I get temporary quota adjustments for large backfills?

Yes, GribStream can configure temporary quota and throughput adjustments for backfills. Users should contact support with details like dataset, time range, coordinates, variables, and target completion time to schedule the run and avoid impacting shared capacity.

What is the difference between /timeseries and /runs endpoints?

/timeseries returns the best single value per valid time, suitable for production curves and backtests. /runs returns every matching model run/horizon combination, ideal for run-to-run analysis and model-cycle research. Legacy aliases /history and /forecasts also work.

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