Repowise scores khushikeswani/aapl-stock-prediction-model at 9.2 out of 10 for defect risk, which reads as excellent, alongside maintainability 7.9 and performance risk 9.9 on the same scale. There are 31 open findings across the three pillars, and the lowest-scoring file is data_transformation.py at 9.0. Scores are computed from complexity, duplication, churn and git fix history, not from a linter.