pyunicorn (Unified Complex Network and RecurreNce analysis toolbox) is a fully object-oriented Python package for for applying and combining modern methods of data analysis and modeling from complex network theory and nonlinear time series analysis. It allows for the construction of functional networks such as climate networks in climatology or functional brain networks in neurosciences representing the structure of statistical interrelationships in large data sets of time series and, subsequently, investigating this structure using advanced methods of complex network theory such as measures and models for spatial networks, networks of interacting networks, node-weighted statistics, or network surrogates.

Additionally, pyunicorn provides insights into the nonlinear dynamics of complex systems as recorded in uni- and multivariate time series from a non-traditional perspective by means of recurrence quantification analysis, recurrence networks, visibility graphs, and construction of surrogate time series.

More information please check http://www.pik-potsdam.de/~donges/pyunicorn/

3D visualization of a climate network on a virtual globe by GTX