Python AWIPS Data Access Framework

The python-awips package provides a data access framework for requesting meteorological and geographic datasets from an EDEX server.

AWIPS is a weather display and analysis package developed by the National Weather Service for operational forecasting. UCAR’s Unidata Program Center supports a non-operational open-source release of the AWIPS software (EDEX, CAVE, and python-awips).


There is now a Beta Python-AWIPS available for v20.

Pre-requisite Software

In order to effictively use python-awips you’ll need to have these installed already:
  • python3

  • conda

  • git (for the source code and examples installation)

Package-Only Install

If you already work with Python, you might just be interested in how to install the python-awips pacakge. The package can be installed with either of the two well known package managers: pip and conda.

Pip Install

pip install python-awips

Conda Install

conda install -c conda-forge python-awips

Source Code with Examples Install

Below are instructions on how to install the source code of python-awips, with all included example notebooks. This will create a new conda environment called python3-awips and start up a browser for the jupyter notebook examples.

git clone
cd python-awips
conda env create -f environment.yml
conda activate python3-awips
jupyter notebook examples

Beta Python-AWIPS Install

The beta version of python-awips (v20) is currently only available as a source code download and installation. The beta version only works with our beta EDEX server ( and is not backwards compatible with our production (v18) EDEX server.

Similar to the Source Code Install above, these instructions will create a new environment called python-awips-beta20 and launch a browser with our jupyter notebook examples.

When AWIPS v20 becomes production, this version of python-awips will be the default that is on pip and conda, but until then, this is how you can access and use python-awips v20.

git clone --single-branch --branch v20
cd python-awips
conda env create -f environment.yml
conda activate python-awips-beta20
pip install .
jupyter notebook examples

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