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streamparse 0.0.13

streamparse lets you run Python code against real-time streams of data. Integrates with Apache Storm.

Latest Version: 1.1.0

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.

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:

Roadmap

See the Roadmap.

 
File Type Py Version Uploaded on Size
streamparse-0.0.13.tar.gz (md5) Source 2014-07-17 23KB
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