Quix enables developers to bring Simulink models into real-time streaming pipelines.
This project demonstrates how to compile a Simulink model into a Python-compatible wheel (.whl) package and run it inside Quix, consuming input data from Kafka topics and publishing outputs back.
Simulink is widely used for modeling dynamic systems, but deploying these models into streaming environments can be challenging.
With this starter transformation you can:
- Wrap a Simulink model as a MATLAB function
- Compile it into a
.whlPython package - Deploy it to Quix to process live streaming data
Two examples are provided to guide through the whole process:
-
More complex combustion engine
We welcome contributions!
- Fork this project and submit it to the Quix GitHub repo
- Accepted projects will be attributed to you and you’ll receive $200 in Quix credit 🎉
This project is open source under the Apache 2.0 license.
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