galafis/anomaly-detection-advanced
Anomaly Detection Advanced - Professional Python project
What's novel
Anomaly Detection Advanced - Professional Python project
Code Analysis
4 files read · 2 roundsThis project implements a modular, extensible time-series anomaly detection system featuring specific statistical detectors (CUSUM, Exponential Smoothing) and a robust feature engineering pipeline.
Strengths
The code demonstrates excellent separation of concerns with a clear interface pattern for detectors. The feature extraction logic is deep and mathematically sound, covering rolling statistics, frequency domain analysis, and lag features. Input validation is rigorous, handling NaN/Inf and array shapes effectively.
Weaknesses
The ensemble component was missing from the provided files, which limits the ability to evaluate how individual detectors are combined into a final prediction model. Test coverage appears moderate but could be more aggressive on edge cases like highly non-stationary data.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
10
Contributors
1
Files
29
Active weeks
3
Repository
Language
Python
Stars
1
Forks
0
License
MIT