Difference between rulefit & skope-rules Python Packages RuleFit is an implementation of a rule-based prediction algorithm based on the rulefit algorithm from Friedman and Popescu (PDF).
skope-rules
Skope-rules is a Python machine learning module built on top of scikit-learn and distributed under the 3-Clause BSD license.
Both the packages generate rules. Do both the packages rely on The RuleFit algorithm by Friedman and Popescu (2008), and implement the same algorithm?
In the Skope rules poster: http://2018.ds3-datascience-polytechnique.fr/wp-content/uploads/2018/06/DS3-309.pdf
They made themselves a differentiation

However, our approach mainly differs in the way that decision rules are chosen: semantic deduplication based on variables composing each rule as opposed to L1-based feature selection (RuleFit).

In my personal opinion and after seeing the semantic deduplication package, I will be quite careful as it made some strong modifications of logical rules by default.