Scikit-multiflow is a multi-output/multi-label and stream data mining
framework for the Python programming language. Conceived to serve as a platform
to encourage democratization of stream learning research, it provides multiple
state of the art methods for stream learning, stream generators and evaluators.
scikit-multiflow builds upon popular open source frameworks including
scikit-learn, MOA and MEKA. Development follows the FOSS principles and quality
is enforced by complying with PEP8 guidelines and using continuous integration
and automatic testing. The source code is publicly available at
https://github.com/scikit-multiflow/scikit-multiflow.Comment: 5 pages, Open Source Softwar