A significant update of the pyunicorn package for analysis of complex networks and nonlinear time series analysis has been released.
![pyunicorn 0.6.0 released pyunicorn 0.6.0 released](https://www.pik-potsdam.de/en/institute/departments/activities/copan/news/pyunicorn-0-6-0-released/@@images/image.png)
A significant update of the Unified Complex Network and Recurrence Analysis Toolbox pyunicorn co-developed by the copan collaboration has been released today. Version 0.6.0 is the first stable release running on Python 3.x and includes a multitude of fixes, performance enhancements and new functionality (such as event coincidence analysis).
The latest releases can be downloaded on https://github.com/pik-copan/pyunicorn or via the Python package index (pip install pyunicorn).
Documentation can be accessed here: http://pik-potsdam.de/~donges/pyunicorn/
pyunicorn description paper: Donges et al., Chaos 25, 113101, 2015, preprint: arxiv.org:1507.01571 [physics.data-an]