# QuantileFlow > This package provides API and functionality to efficiently compute quantiles for anomaly detection in service/system logs. Developed under LogFlow-AI initiative. [![Latest Version on PyPI](https://img.shields.io/pypi/v/QuantileFlow.svg)](https://pypi.python.org/pypi/QuantileFlow/) ![Build Status](https://github.com/LogFlow-AI/QuantileFlow/actions/workflows/test.yaml/badge.svg) [![Documentation Status](https://readthedocs.org/projects/QuantileFlow/badge/?version=latest)](https://QuantileFlow.readthedocs.io/en/latest/?badge=latest) [![Built with PyPi Template](https://img.shields.io/badge/PyPi_Template-v0.8.0-blue.svg)](https://github.com/christophevg/pypi-template) ## 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 ## Contents ```{toctree} :maxdepth: 2 whats-in-the-box.md getting-started.md examples.md api/index.md api/ddsketch.md api/momentsketch.md api/hdrhistogram.md contributing.md code.md ```