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Streamz: Python pipelines to manage continuous streams of data, Hacker News

      

         

                 

                              

           

               

Streamz helps you build pipelines to manage continuous streams of data. It is simple to use in simple cases, but also supports complex pipelines that involve branching, joining, flow control, feedback, back pressure, and so on.

Optionally, Streamz can also work with both

Pandas and cuDF dataframes, to provide sensible streaming operations on continuous tabular data.

To learn more about how to use streams, visit (Core documentation) . Motivation

Continuous data streams arise in many applications like the following:

    Log processing from web servers

      Scientific instrument data like telemetry or image processing pipelines

    1. Financial time series

    Machine learning pipelines for real-time and on-line learning

      a simple streamz pipeline

      Sometimes these pipelines are very simple. , with a linear sequence of processing steps:

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