Presented here is the Python CoMet Toolkit, which stands for Community Metrology toolkit, which has been developed to enable easy handling and processing of dataset error-covariance information. This toolkit aims to abstract away the complexity of dealing with uncertainties. There are a number of tools included in this toolkit (listed below), which are available on github and are installable via pip. More modules are planned to extend the toolkit capabilities.
The current included tools are: