Skip to main content

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

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for graph-talk, version 0.3.1
Filename, size File type Python version Upload date Hashes
Filename, size graph-talk-0.3.1.tar.gz (30.8 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page