Streamparse lets you run Python code against real-time streams of data via
Apache Storm. With streamparse you can create Storm bolts and spouts in
Python without having to write a single line of Java. It also provides handy
CLI utilities for managing Storm clusters and projects.
The Storm/streamparse combo can be viewed as a more robust alternative to Python worker-and-queue systems, as might be built atop frameworks like Celery and RQ. It offers a way to do "real-time map/reduce style computation" against live streams of data. It can also be a powerful way to scale long-running, highly parallel Python processes in production.