The General Hidden Markov Model library (GHMM) is a freely available LGPL-ed C library implementing efficient data structures and algorithms for basic and extended HMMs. The development is hosted at Sourceforge http://sourceforge.net/projects/ghmm/, where you have access to the Subversion repository, mailing lists and forums. The GHMM is developed by the Algorithmics group at the Max Planck Institute for Molecular Genetics. Features * Discrete and continous emissions * Mixtures of PDFs for continous emissions * Non-homogenous Markov chains * Pair HMMs (contributed by Genoscope ) * Clustering and mixture modelling for HMMs * Graphical Editor HMMEd * Python bindings * XML-based file format * Portable (autoconf, automake, Windows) * C++ API (NOT under active development, unsupported)

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