Skip to main content

Multi-producer multi-consumer in-memory signal dispatch system

Project description

PyDispatcher Multi-producer Multi-consumer Observables

PyDispatcher provides the Python programmer with a multiple-producer-multiple-consumer signal-registration and routing infrastructure for use in multiple contexts. The mechanism of PyDispatcher started life as a highly rated recipe in the Python Cookbook. The project aims to include various enhancements to the recipe developed during use in various applications. It is primarily maintained by Mike Fletcher. A derivative of the project provides the Django web framework's "signal" system.


PyDispatcher is available on PyPI via standard PIP:

pip install PyDispatcher

Latest PyPI Version Latest PyPI Version


Documentation is available for detailed usage, but the basic idea is:

from pydispatch import dispatcher

metaKey = "moo"
MyNode = object()
event = {"sample": "event"}

def callback(event=None):
    """Handle signal being sent"""
    print("Signal received", event)

dispatcher.connect(callback, sender=MyNode, signal=metaKey)
dispatcher.send(metaKey, MyNode, event=event)

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

PyDispatcher-2.0.7.tar.gz (38.9 kB view hashes)

Uploaded source

Built Distribution

PyDispatcher-2.0.7-py3-none-any.whl (12.0 kB view hashes)

Uploaded py3

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