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The identification of networks is an issue that is relevant in many research fields. Assessing links between nodes of a network by analyzing time series associated to those nodes is a crucial topic in fields as diverse as neuroscience and climate research. In this work we present NetOnZeroDXC, a package that implements a recently published method for the assessment of networks out of multivariate time series. The method relies on the computation of zero-delay cross-correlation between pairs of time series. The software implements the various stages of the algorithm in a general way, thus making up a novel tool that can be used for network analysis in different fields. Keywords: Cross correlation, Networks, Multivariate time series analysis