streamparse lets you run Python code against real-time streams of data. Integrates with Apache Storm.
Project description
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.
Documentation
User Group
Follow the project’s progress, get involved, submit ideas and ask for help via our Google Group, streamparse@googlegroups.com.
Contributors
Alphabetical, by last name:
Dan Blanchard (@dsblanch)
Keith Bourgoin (@kbourgoin)
Jeffrey Godwyll (@rey12rey)
Tim Hopper (@tdhopper)
Andrew Montalenti (@amontalenti)
Rohit Sankaran (@roadhead)
Mike Sukmanowsky (@msukmanowsky)
Roadmap
See the Roadmap.
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