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apache / streampipes-extensions / refs/tags/release/0.66.0
tagd2fff4f0acf687b10aa2ad4588606a8a0e6da932
taggerDominik Riemer <riemer@fzi.de>Sat May 02 18:10:13 2020 +0200
object44b7dd13c75058811a001f1aa6b3f6805285eb2d 
[maven-release-plugin] copy for tag release/0.66.0
commit44b7dd13c75058811a001f1aa6b3f6805285eb2d[log] [tgz]
authorDominik Riemer <riemer@fzi.de>Sat May 02 18:09:57 2020 +0200
committerDominik Riemer <riemer@fzi.de>Sat May 02 18:09:57 2020 +0200
tree26a982ee1fb716eb8bf20aadfa4b8a7800e81e33
parent622250b2d7df5efe0a5595fc2332f6304dc172cd [diff]
[maven-release-plugin] prepare release release/0.66.0
27 files changed
tree: 26a982ee1fb716eb8bf20aadfa4b8a7800e81e33
  1. .github/
  2. streampipes-connect-adapters/
  3. streampipes-pipeline-elements-all-jvm/
  4. streampipes-pipeline-elements-data-simulator/
  5. streampipes-pipeline-elements-shared/
  6. streampipes-processors-aggregation-flink/
  7. streampipes-processors-enricher-flink/
  8. streampipes-processors-enricher-jvm/
  9. streampipes-processors-filters-jvm/
  10. streampipes-processors-filters-siddhi/
  11. streampipes-processors-geo-flink/
  12. streampipes-processors-geo-jvm/
  13. streampipes-processors-image-processing-jvm/
  14. streampipes-processors-pattern-detection-flink/
  15. streampipes-processors-statistics-flink/
  16. streampipes-processors-text-mining-flink/
  17. streampipes-processors-text-mining-jvm/
  18. streampipes-processors-transformation-flink/
  19. streampipes-processors-transformation-jvm/
  20. streampipes-sinks-brokers-jvm/
  21. streampipes-sinks-databases-flink/
  22. streampipes-sinks-databases-jvm/
  23. streampipes-sinks-internal-jvm/
  24. streampipes-sinks-notifications-jvm/
  25. streampipes-sources-vehicle-simulator/
  26. streampipes-sources-watertank-simulator/
  27. .asf.yaml
  28. .gitignore
  29. .gitlab-ci.yml
  30. .spignore
  31. DISCLAIMER-WIP
  32. docker-compose.yml
  33. LICENSE
  34. NOTICE
  35. pom.xml
  36. README.md
  37. RELEASE_NOTES.md
  38. RELEASE_VALIDATION.md
README.md

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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 https://github.com/apache/incubator-streampipes

Learn more about StreamPipes at https://streampipes.apache.org/

Read the full documentation at https://streampipes.apache.org/docs

StreamPipes Pipeline Elements

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

See https://streampipes.apache.org/docs/docs/pipeline-elements/ for an overview of currently available pipeline elements.

Contact us if you are missing some pipeline elements!

Getting started

See the installation guide at https://streampipes.apache.org/download.html

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: https://issues.apache.org/jira/projects/STREAMPIPES

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!

Contribute

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!