Library for structured information processing: parsing, interpreting, converting, etc.
Python
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README.rst

Graph-Talk

Graph-talk is a library for structured data processing to solve tasks like parsing, interpreting, or converting in a simple and comprehensible manner.

The library uses 3 key concepts to achieve the goal: a graph-like representation of information and its processing; a dialog-like communication between the model and the process; and a handler-event approach to recognize the input messages.

Features

  • Easy to learn architecture
  • Highly customizable
  • Plain Python 2.7.5 or higher
  • Very small footprint
  • DOT export (experimental)

Check the docs for the documentation and examples folder for examples of lexing, interpreting, and converting using Graph-talk.

Installation

From pypi:

$ pip install graph-talk

Easy_install:

$ easy_install graph-talk

Clone from github:

$ git clone git://github.com/krvss/graph-talk.git

Setuptools:

$ cd graph-talk
$ sudo python setup.py install

Testing:

$ python setup.py test

Documentation with sphinx:

$ sphinx-build -b html docs docs/html

Support

If you're having problems using the project, make the issue at GitHub.

Copyrights and License

graph-talk is protected by Apache Software License. Check the LICENSE file for details.