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Github Actions

Apache StreamPipes

Apache StreamPipes (incubating) enables flexible modeling of stream processing pipelines by providing a graphical modeling editor on top of existing stream processing frameworks.

It leverages non-technical users to quickly define and execute processing pipelines based on an easily extensible toolbox of data sources, data processors and data sinks. StreamPipes has an exchangeable runtime execution layer and executes pipelines using one of the provided wrappers, e.g., for Apache Flink or Apache Kafka Streams.

Pipeline elements in StreamPipes can be installed at runtime - the built-in SDK allows to easily implement new pipeline elements according to your needs. Pipeline elements are standalone microservices that can run anywhere - centrally on your server, in a large-scale cluster or close at the edge.

Find the core project at

Learn more about StreamPipes at

Read the full documentation at

StreamPipes Pipeline Elements

This project provides a library of several pipeline elements that can be used within the Apache StreamPipes toolbox.

See for an overview of currently available pipeline elements.

Contact us if you are missing some pipeline elements!

Getting started

See the installation guide at

It's easy to get started:

Bugs and Feature Requests

If you‘ve found a bug or have a feature that you’d love to see in StreamPipes, feel free to create an issue in our Jira:

Get help

If you have any problems during the installation or questions around StreamPipes, you'll get help through one of our community channels:

And don't forget to follow us on Twitter!


We welcome contributions to StreamPipes. If you are interested in contributing to StreamPipes, let us know! You'll get to know an open-minded and motivated team working together to build the next IIoT analytics toolbox.

Here are some first steps in case you want to contribute:

Have fun!