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 ![Conda (channel only)](https://img.shields.io/conda/vn/conda-forge/gplately?style=for-the-badge)
 ![GitHub Unitttest Workflow Status (with branch)](https://img.shields.io/github/actions/workflow/status/GPlates/gplately/build_and_test.yml?branch=master&style=for-the-badge&label=test)
 ![GitHub Build Doc Workflow Status (with branch)](https://img.shields.io/github/actions/workflow/status/GPlates/gplately/deploy_documentation.yaml?branch=master&style=for-the-badge&label=doc)
+![PyPI - Python Version](https://img.shields.io/pypi/pyversions/gplately?style=for-the-badge)
 
 
 GPlately was created to accelerate spatio-temporal data analysis leveraging [pyGPlates](https://www.gplates.org/docs/pygplates/index.html) and [PlateTectonicTools](https://github.com/EarthByte/PlateTectonicTools) within a simplified Python interface. This object-oriented package enables the reconstruction of data through deep geologic time (points, lines, polygons, and rasters), the interrogation of plate kinematic information (plate velocities, rates of subduction and seafloor spreading), the rapid comparison between multiple plate motion models, and the plotting of reconstructed output data on maps. All tools are designed to be parallel-safe to accelerate spatio-temporal analysis over multiple CPU processors.