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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.

Repository

https://github.com/Parsely/streamparse.git

Last Built

2 weeks, 4 days ago passed

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Home Page

https://github.com/Parsely/streamparse

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Tags

streams, data, Python, real-time

Project Privacy Level

Public

Short URLs

streamparse.readthedocs.io
streamparse.rtfd.io

Default Version

stable

'latest' Version

v1.1.0