About: Orange is a component-based machine learning and data mining software. It includes a friendly yet powerful and flexible graphical user interface for visual programming. For more advanced use(r)s, [...]

Added multi-target and multi-label learning, neural networks, Earth (MARS), PLS, and a faster tree induces for use in random forests; reorganization of module hierarchy; (weakly supported) Qwt has been replaced with a homemade module; networkx is used instead of a (weak) homemade structures for graphs; documentation has been moved to .rst, with a lot of it written anew or heavily redacted; improved system for registration of add-ons.

About: 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. Both dense and sparse matrix representation are supported.

Initial Announcement on mloss.org.