Skip to main content

stream and pipeline processing service

Project description

Service and framework for creating and running processing pipelines for data streams, events and chunks. Pipelines of pypelined are composed from individual elements using the chainlet library. They are built in Python configuration files, from custom objects or pre-defined plugins.

import chainlet
from pypelined.conf import pipelines

@chainlet.funclet
def add_time(chunk):
    chunk['tme'] = time.time()
    return chunk

process_chain = Socket(10331) >> decode_json() >> stop_if(lambda value: value.get('rcode') == 0) >> \
    add_time() >> Telegraf(address=('localhost', 10332), name='chunky')
pipelines.append(process_chain)

Once running, pypelined drives all its processing pipelines in an event driven fashion.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pypelined-0.1.0.tar.gz (12.8 kB view hashes)

Uploaded Source

Built Distribution

pypelined-0.1.0-py2.py3-none-any.whl (18.0 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page