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.
2 months ago passed
.. image:: https://readthedocs.org/projects/streamparse/badge/?version=stable :target: https://streamparse.readthedocs.io/en/stable/?badge=stable :alt: Documentation Status
<a href='https://streamparse.readthedocs.io/en/stable/?badge=stable'> <img src='https://readthedocs.org/projects/streamparse/badge/?version=stable' alt='Documentation Status' /> </a>
Project Privacy Level