Development of Python-based pipelines for LOFAR2.0 and SKA

The data production rate of future telescopes like LOFAR2.0 and SKA will require processing pipelines with high computational performace and a large degree of automation and configurability. In this contribution, we show how we are addressing these challenges with a combination of high-performance processing components, primarily written in C++, and a Python-based pipeline script orchestrating the work of the processing components. We present the current status and sketch future developments.