Dear Computational Neuroscience Community, I would like to point you to a potentially useful Python Package,especially in the realm dynamical models and synchronization phenomena. The Kuramoto model is used to study a wide range of systems (for a review on its usage in the Neuroscience, see Breakspear et al. 2010, Generative models of cortical oscillations: neurobiological implications of the Kuramoto model) "kuramoto": Python implementation of the Kuramoto model. [https://opengraph.githubassets.com/676ee08440b553afd4448323a4a8244abc846110f69d0f0519e97be914fd298c/fabridamicelli/kuramoto]<https://github.com/fabridamicelli/kuramoto> GitHub - fabridamicelli/kuramoto: Python implementation of the Kuramoto model<https://github.com/fabridamicelli/kuramoto> Python implementation of the Kuramoto model. Contribute to fabridamicelli/kuramoto development by creating an account on GitHub. github.com * Code: (https://github.com/fabridamicelli/kuramoto) * Easy install with `pip install kuramoto` * Example notebooks: https://github.com/fabridamicelli/kuramoto/tree/master/examples * A super concise intro to the model and its behaviour and further references can be found here: https://github.com/fabridamicelli/kuramoto#kuramoto-model-101 As of today, a few people already trust it and the package registers >27K total downloads, ~900/month (pypi.org). Check it out and any feedback/suggestions/bug reports are more than welcome (simply open an issue: https://github.com/fabridamicelli/kuramoto/issues) All the best, Fabrizio Damicelli