Analysis algorithms for time series data. The principal objective of this work is to provide automatic tools for pre-processing and visualization of the raw data, keeping in mind the size of it. The package comprises also a model dedicated section (markov state models). Moreover, we also extracted original algorithms from the main core 'campari' software. For more information please visit the original documentation on <http://campari.sourceforge.net/index.html>.

{"references": ["Blochliger Nicolas, Vitalis Andreas, Caflisch Amedeo. A scalable algorithm to order and annotate continuous observations reveals the metastable states visited by dynamical systems. Comput. Phys. Commun. (Nov 2013) 184 (11): 2446-2453. (doi:10.1016/j.cpc.2013.06.009)"]}