Association Rules Extracted from Pylint Static Code Analysis of Six Python Repositories

This dataset contains the complete set of mined association rules extracted from Pylint static analysis outputs across six widely used Python codebases: NumPy, Matplotlib, scikit-learn, Flask, PyMeasures, and TheAlgorithms. The repos where cloned on  July 12, 2025. Each source file is treated as a transaction and each Pylint message code as an item, enabling the discovery of high-lift co-occurrence patterns, directional relationships, and cross-project regularities in warning behavior. The dataset supports research on software quality assessment, linter interpretation, and mining recurrent design or style issues at scale. All rules include support, confidence, lift, and Jaccard similarity, allowing downstream analysis or reproduction of the full study.