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Python package to explore the color of language

Project description


compsyn is a package which provides a novel methodlogy to explore relationships between words and abstract concepts through color. The work rose through a collaboration between the contributors at the Santa Fe Institute’s Complex System Summer School 2019.


Our beta release (0.1.0) includes only very basic functionality and the finished code to reproduce our entire analysis is on the horizon.

Documentation and Examples

The notebooks directory showcases the usage of compsyn, with examples and basic usage.


Run pip install compsyn to download and install from PyPI.

Run python install for default installation.

Run pip install . to install from source.


  • Python 2.7+, 3.4+
  • numpy, scipy, scikit-learn, matplotlib, PIL


To use the package one would need to download the JzAzBz array to convert the images to the appropriate vector form.


This is the work of:

  • Aabir Abubaker Kar
  • Bhargav Srinivasa Desikan
  • Donald Ruggiero Lo Sardo
  • Douglas Guilbeault
  • Ethan Nadler
  • Mark Chu

Project details

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Files for compsyn, version 0.1.1
Filename, size File type Python version Upload date Hashes
Filename, size compsyn-0.1.1-py3-none-any.whl (8.5 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size compsyn-0.1.1.tar.gz (5.8 kB) File type Source Python version None Upload date Hashes View

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