GBOD is an algorithm developed for anomaly detection for large datasets, it is extremely faster than the clustering and distanced based anomaly detection algorithms. It can also easily be implemented by mapreduce.
OutlierDetection.py: GBOD python source file
gbod_multiple_view.ipynb: Detailed usage example with jupyter notebook
gbod_multiple_view.html: Detailed usage example with html
The Spark and Flink implementation will be added later.