In this work we present kiwiPy, a Python library designed to support robust message based communication for high-throughput, big-data, applications while being general enough to be useful wherever high-volumes of messages need to be communicated in a predictable manner. KiwiPy relies on the RabbitMQ protocol, an industry standard message broker, while providing a simple and intuitive interface that can be used in both multithreaded and coroutine based applications. To demonstrate some of kiwiPy's functionality we give examples from AiiDA, a high-throughput simulation platform, where kiwiPy is used as a key component of the workflow engine.
@article{arxiv.2005.07475,
title = {kiwiPy: Robust, high-volume, messaging for big-data and computational science workflows},
author = {Martin Uhrin and Sebastiaan P. Huber},
journal= {arXiv preprint arXiv:2005.07475},
year = {2020}
}