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A lightweight stream processing library for Go.
go-streams provides a simple and concise DSL to build data pipelines. pipeline-architecture-example

In computing, a pipeline, also known as a data pipeline, is a set of data processing elements connected in series, where the output of one element is the input of the next one. The elements of a pipeline are often executed in parallel or in time-sliced fashion. Some amount of buffer storage is often inserted between elements.


Building blocks:

  • Source - A Source is a set of stream processing steps that has one open output.
  • Flow - A Flow is a set of stream processing steps that has one open input and one open output.
  • Sink - A Sink is a set of stream processing steps that has one open input. Can be used as a Subscriber.

Flow capabilities (flow package):

  • Map
  • FlatMap
  • Filter
  • Reduce
  • PassThrough
  • Split
  • FanOut
  • RoundRobin
  • Merge
  • Flatten
  • Throttler
  • SlidingWindow
  • TumblingWindow
  • SessionWindow

Supported Connectors:


Usage samples are available in the examples directory.


Licensed under the MIT License.