This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description

Requires Python 3.5. See for more information.


Install the following in a virtualenv:

pip install .

To enable Xenon for remote execution, Java must be installed, and Xenon can be installed with

pip install '.[xenon]'

If Java cannot be found (needed by Xenon), run

export JAVA_HOME="/usr/lib/jvm/default-java"  # or similar...

in your shell initialization script (like ~/.bashrc).

To enable the TinyDB based job database, run

pip install '.[prov]'

This is needed if you want to interrupt a running workflow and resume where you left of, or to reuse results over multiple runs.

To run unit tests, run

pip install '.[test]'
nosetests test

Some tests depend on the optional modules being installed. Those are skipped if if imports fail. If you want to test everything, make sure you have NumPy installed as well.

The prototype

The prototype is very simple. It should support the definition of function objects that are manageable in the workflow engine and give output of the workflow as a graph. The only dependency of this prototype should be the graph plotting library: pygraphviz. To keep the interface clean, we avoid the use of Fireworks specific functionality at this point. The abstract concepts in this context are: workflow, node, link.

Developers interface


  • What does a developer adding functionality to the workflow engine need to know?
  • How do we specify the surrounding context of functions in terms of types and monadic context?

User interface

The user should have it easy. From the spirit of wishful programming, we may give here some examples of how the user would use the workflow engine.

Prototype example

The developer has prepared some nice functions for the user:

def f(a, b):
    return a+b

def g(a, b):
    return a-b

def h(a, b):
    return a*b

The user then uses these in a workflow:

u = f(5, 4)
v = g(u, 3)
w = g(u, 2)
x = h(v, w)

draw_graph("graph-example1.svg", x)

Resulting in the graph:

Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Show More

Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
noodles-0.2.1-py3.5.egg (169.6 kB) Copy SHA256 Checksum SHA256 3.5 Egg Aug 22, 2016
noodles-0.2.1-py3-none-any.whl (69.5 kB) Copy SHA256 Checksum SHA256 py3 Wheel Aug 22, 2016
noodles-0.2.1.tar.gz (49.6 kB) Copy SHA256 Checksum SHA256 Source Aug 22, 2016

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS HPE HPE Development Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting