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Persistent job queue using Redis.

5.0
 
  0 reviews  |  1 user  |  523 lines of code  |  0 current contributors  |  Analyzed over 1 year ago
 
 

An asynchronous queue for the classic producer/consumer scenario.

0
 
  0 reviews  |  0 users  |  0 current contributors
 
 

Lightweight Messaging

0
 
  0 reviews  |  0 users  |  2,470 lines of code  |  0 current contributors  |  Analyzed 8 days ago
 
 

ZenQueue is a lean, network-available message queue, complete with server and client libraries, written in Python. It's been designed for simplicity, speed and portability.

5.0
 
  0 reviews  |  0 users  |  1,028 lines of code  |  0 current contributors  |  Analyzed about 2 years ago
 
 

PeafowlPeafowl is a powerful but simple messaging server that enables reliable distributed queuing with an absolutely minimal overhead by using memcache protocol for maximum cross-platform compatibility. Synopsis # Start the Peafowl server as a daemonized process: >>> peafowl -H ... [More] 192.168.1.1 -d # Put messages onto a queue: >>> from memcache import Client >>> peafowl = Client(['192.168.1.1:21122']) >>> peafowl.set('my_queue', 12345) # Get messages from the queue: >>> from memcache import Client >>> peafowl = Client(['192.168.1.1:21122']) >>> while True: >>> print peafowl.get('my_queue') [Less]

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  0 reviews  |  0 users  |  566 lines of code  |  0 current contributors  |  Analyzed 9 days ago
 
 

Thread safe MVC Framework for Java 6: - Layered Controller Architecture (System, Service, Application) - Notification: Hierarchical, Secured, Optimized, Ordered and Queued - Typed Framework, Aspect Programming Support - Utils, Adapters, Plugins, etc

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  0 reviews  |  0 users  |  0 current contributors
 
 

Easy to use iPhone library enabling multiple concurrent asynchronous internet requests. Usage examples included.

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  0 reviews  |  0 users  |  305 lines of code  |  0 current contributors  |  Analyzed about 15 hours ago
 
 

This is a rewrite (in C) of the Perl version found at http://danga.com/gearman/. It includes the both a client/worker library, as well as the server. The server acts as a bridge between workers (clients who can do work) and callers (clients who want work done). You should run several servers (at ... [More] least two) for both load balancing and high availability. [Less]

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  0 reviews  |  0 users  |  59,162 lines of code  |  1 current contributor  |  Analyzed about 1 year ago
 
 
 
 

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