streamparse lets you run Python code against real-time streams of data. Integrates with Apache Storm.
streamparse lets you run Python code against real-time streams of data. It also integrates Python smoothly with Apache Storm.
It 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.
Follow the project’s progress, get involved, submit ideas and ask for help via our Google Group, email@example.com.
Alphabetical, by last name:
See the Roadmap.