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 .. image:: https://codecov.io/gh/GliderToolsCommunity/GliderTools/branch/master/graph/badge.svg?token=FPUJ29TMSH
         :target: https://codecov.io/gh/GliderToolsCommunity/GliderTools
 
-Glider tools is a Python 3.6+ package designed to process data from the first level of processing to a science ready dataset (delayed mode quality control). The package is designed to easily import data to a standard column format (numpy.ndarray or pandas.DataFrame). Cleaning and smoothing functions are flexible and can be applied as required by the user. We provide examples and demonstrate best practices as developed by the `SOCCO Group <http://socco.org.za/>`_, with early contributions from `Polar Gliders <https://sebswart.com/>`_ at the University of Gothenburg. GliderTools includes contributions from `VOTO <https://voiceoftheocean.org//>`_. We aim to implement Best Practices developed by `OceanGliders <https://www.oceangliders.org/>`_ in the ongoing discussions `here <https://github.com/OceanGlidersCommunity>`_.
+Glider tools is a Python 3.8+ package designed to process data from the first level of processing to a science ready dataset (delayed mode quality control). The package is designed to easily import data to a standard column format (numpy.ndarray or pandas.DataFrame). Cleaning and smoothing functions are flexible and can be applied as required by the user. We provide examples and demonstrate best practices as developed by the `SOCCO Group <http://socco.org.za/>`_, with early contributions from `Polar Gliders <https://sebswart.com/>`_ at the University of Gothenburg. GliderTools includes contributions from `VOTO <https://voiceoftheocean.org//>`_. We aim to implement Best Practices developed by `OceanGliders <https://www.oceangliders.org/>`_ in the ongoing discussions `here <https://github.com/OceanGlidersCommunity>`_.
 
 Please cite the original publication of this `package <https://doi.org/10.3389/fmars.2019.00738>`_ and the software `package <https://doi.org/10.5281/zenodo.4075238>`_.