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asciinet / METADATA
Size: Mime:
Metadata-Version: 2.1
Name: asciinet
Version: 0.3.1
Summary: A wrapper around the scala ascii-graphs library
Home-page: UNKNOWN
Author: Cosmin Basca
Author-email: cosmin.basca@gmail.com; basca@ifi.uzh.ch
License: UNKNOWN
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Java
Classifier: Programming Language :: Scala
Classifier: Topic :: Software Development
License-File: LICENSE
License-File: NOTICE
Requires-Dist: networkx (>=1.9)
Requires-Dist: natsort (>=3.2.0)
Requires-Dist: requests (>=2.3.0)
Requires-Dist: msgpack-python (>=0.4.2)

asciinet
========

*NOTE*: this is a fork of the original asciinet libary which seems to be abandoned. This fork is mainly intended to build artifacts to upload to pypi and conda.

asciinet is a wrapper over the [ascii-graphs](https://github.com/cosminbasca/ascii-graphs) library for printing [networkx](https://networkx.github.io/) graphs as ASCII.

Important Notes
---------------
This software is the product of research carried out at the [University of Zurich](http://www.ifi.uzh.ch/ddis.html) and comes with no warranty whatsoever. Have fun!

TODO's
------
* The project is not documented (yet)

How to Install the Project
--------------------------
To install **asciinet** you have two options: 1) manual installation (install requirements first) or 2) automatic with **pip**

Install the project manually from source (after downloading it locally):
```sh
$ cd pyasciinet
$ python setup.py install
```

Install the project with pip:
```sh
$ pip install https://github.com/cosminbasca/asciinet/pyasciinet
```

Also have a look at the build.sh script included in the codebase for a complete setup of the build process 

Thanks a lot to
---------------
* [University of Zurich](http://www.ifi.uzh.ch/ddis.html) and the [Swiss National Science Foundation](http://www.snf.ch/en/Pages/default.aspx) for generously funding the research that led to this software.