01Detailed reporting of detected anomalies and their specific characteristics
02Support for Isolation Forest and One-Class SVM models
03Context-aware data preprocessing and scaling recommendations
04Automated machine learning algorithm selection for outlier analysis
050 GitHub stars
06Real-time identification of unusual data patterns and irregularities