Jug 1.0.1

A Python framework for implementing distributed computing software, Python code that runs in parallel on multiple machines and processes

  Add it to your Download Basket!

 Add it to your Watch List!

0/5

Rate it!

What's new in Jug 0.9.7:

  • Fix use of numpy subclasses
  • Fix redis URL parsing
  • Fix ``shell`` for newer versions of IPython
  • Correctly fall back on non-sqlite ``status``
Read full changelog
send us
an update
LICENSE TYPE:

MIT License

USER RATING:
UNRATED
  0.0/5
DEVELOPED BY:
Luis Pedro Coelho
HOMEPAGE:
luispedro.org
LANGUAGE:
Python
CATEGORY:
C: \ Development Tools \ Complete applications
Jug is a Python implementation of the MapReduce framework (now a standard part of Hadoop), allowing developers to write code that can run in different forms of parallelization.

This means code that can run in parallel on the same machine, or across a computing cluster (multiple machines).

Jug enables developers to organize code into smaller pieces, and selecting where, how and when to run it.

While this may be over the top for small websites and apps, this behavior can be very useful in applications with a high traffic load or that handle large amounts of data.

Jug can work and store data locally via the hard-drive, or it can use remote storage. For the later case, the Redis database is supported.

Last updated on June 17th, 2014

Runs on: Windows / Linux / Mac OS / BSD / Solaris

feature list requirements

#parallelization framework #task management #Python framework #framework #task #event #run

Add your review!

SUBMIT