The overall aim of this tool it to improve data quality issues, to reduce review and acceptance times, and ultimately to reduce ping-to-public times. Furthermore, once one of the developed algorithms is mature and effective enough, existing commercial software might decide to adopt it with a relatively easy transition based on the existing working implementation.
The speed in prototyping, a characteristic of the adopted Python language, eases the decision
to abandon a developed algorithms in case that is not effective or a commercially supported
QC Tools is written in Python (3.6+ supported), and the current stable release is 3.9.0.