QuantileFlow
This package provides API and functionality to efficiently compute quantiles for anomaly detection in service/system logs. Developed under LogFlow-AI initiative.
Key Features
Multiple Algorithms: Includes DDSketch, MomentSketch and HDRHistogram implementations
Memory Efficient: Uses compact data structures regardless of data stream size
Mergeable: Supports distributed processing by merging sketches
Accuracy Guarantees: Provides configurable error bounds
Fast Operations: O(1) insertions and efficient quantile queries
Python API: Simple and intuitive interface for Python applications