Forecast-In-A-Box is a prototype AI solution concept piloted by ECMWF, through an effort jointly funded by Destination Earth and ECMWF core activities. It showcases a way to containerize and package complete AI-based forecasting pipelines, bringing together ECMWF’s open-source software and AI models — such as ANEMOI, EarthKit, AIFS, PProc and other components of the ECMWF stack — to cover all stages of the forecasting process, from using data inputs from ECMWF’s analyses to the execution of AI models, post-processing, and visualization.
For more information, see the project's readme.
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2 maintainers
Release files for forecast-in-a-box 4.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| forecast_in_a_box-4.0.0.tar.gz | 11.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| forecast_in_a_box-4.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.4 MB
Release files / forecast_in_a_box-4.0.0.tar.gz
| Download URL | forecast_in_a_box-4.0.0.tar.gz |
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| Size | 11.9 MB |
| Tags | Source |
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Release files / forecast_in_a_box-4.0.0-py3-none-any.whl
| Download URL | forecast_in_a_box-4.0.0-py3-none-any.whl |
|---|---|
| Size | 11.6 MB |
| Tags | Python 3 |
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twine/7.0.0 CPython/3.12.3
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