streamparse 1.0.1

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.

Documentation

http://streamparse.readthedocs.org/en/latest/

User Group

Follow the project’s progress, get involved, submit ideas and ask for help via our Google Group, [e-mail].

Contributors

Alphabetical, by last name:

• Dan Blanchard (@dsblanch)

• Keith Bourgoin (@kbourgoin)

• Jeffrey Godwyll (@rey12rey)

• Andrew Montalenti (@amontalenti)

• Rohit Sankaran (@roadhead)

• Mike Sukmanowsky (@msukmanowsky)

Roadmap

See the Roadmap.