Readme
birding is an open source project to produce a stream of recent twitter_
activity based on a sequence of search terms, using only twitter's public APIs. It serves as both a standalone project and a demo of distributed
real-time computing with Python using Storm_/streamparse_ and Kafka_/pykafka_.
Dependencies are fully automated; in a birding checkout, run with::
make run
See the docs (below) for a full discussion of birding, including how to use birding in an existing streamparse project.
To discuss this project, join the streamparse user group_.
.. _twitter: https://twitter.com
.. _twitter's public APIs: https://dev.twitter.com/rest/public
.. _Storm: http://storm.apache.org
.. _Python: http://python.org
.. _Kafka: http://kafka.apache.org
.. _streamparse: https://github.com/Parsely/streamparse
.. _pykafka: https://github.com/Parsely/pykafka
.. _streamparse user group: https://github.com/Parsely/streamparse#user-group
HEAD <http://birding.readthedocs.org/en/master/>_Stable <http://birding.readthedocs.org/en/stable/>_Given a checkout of birding, to run birding in place, see Downloading and running birding <http://birding.readthedocs.org/en/master/solo.html>_.
The birding project uses Python 2.7 and will also support Python 3.4+ when underlying dependencies support Python 3.
FAQs
Stream twitter searches using the public API.
We found that birding demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
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