Skip to main content
Help us improve Python packaging – donate today!

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

Project Description


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.


  • 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.


From pypi:

$ pip install graph-talk


$ easy_install graph-talk

Clone from github:

$ git clone git://


$ cd graph-talk
$ sudo python install


$ python test

Documentation with sphinx:

$ sphinx-build -b html docs docs/html


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.

Release history Release notifications

This version
History Node


History Node


Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
graph-talk-0.3.1.tar.gz (30.8 kB) Copy SHA256 hash SHA256 Source None Nov 23, 2014

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page