  This paper describes HyperStream, a large-scale, flexible and robust software
package, written in the Python language, for processing streaming data with
workflow creation capabilities. HyperStream overcomes the limitations of other
computational engines and provides high-level interfaces to execute complex
nesting, fusion, and prediction both in online and offline forms in streaming
environments. HyperStream is a general purpose tool that is well-suited for the
design, development, and deployment of Machine Learning algorithms and
predictive models in a wide space of sequential predictive problems.
  Source code, installation instructions, examples, and documentation can be
found at: https://github.com/IRC-SPHERE/HyperStream.
