Go stream processing library.
Provides simple and concise DSL to build data pipelines.

Wiki
In computing, a pipeline, also known as a data pipeline,[1] 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
• PassThrough
• Split
• FanOut
• Merge
• Throttler
• SlidingWindow
• TumblingWindow

Supported Sources and Sinks (ext package):

• Go channels
• File system
• Kafka
• Redis

Could be found in the examples directory.

Licensed under the MIT License.