Get in touch

deCheem is a project by Guangmian Kung, and is currently implemented in two form:

  1. a straightforward Python script with a PostgreSQL backup that generateds 2^N rows as described in the section on Table of Combinations. This implementation allows for easy understanding of the results, but does not scale beyond 20 descriptive properties.
  2. a streamlined version - also Python+PostgreSQL based - that has been tested for 100k descriptive properties and above, and also implements ‘conditionals’ allowing for statements describing totally different subjects to have dependencies on each other. This version is however less easily queryable. The section ‘Example applications of deCheem’ makes use of this implementation.

As effective use of deCheem requires guidance and consultation, please reach out to Guangmian Kung at to find out how to test deCheem out.