  NIMFA is an open-source Python library that provides a unified interface to
nonnegative matrix factorization algorithms. It includes implementations of
state-of-the-art factorization methods, initialization approaches, and quality
scoring. It supports both dense and sparse matrix representation. NIMFA's
component-based implementation and hierarchical design should help the users to
employ already implemented techniques or design and code new strategies for
matrix factorization tasks.
