Awesome AI for Infra › Root Cause Analysis

shaido987/riskloc

⭐ 141 Python added to this list on 2026-06-14 repository created 2020-10-23

RiskLoc is an open-source implementation of a novel method designed to pinpoint the root causes of anomalies in complex, multi-dimensional time-series data. It addresses the challenging problem of identifying which specific dimensions and their corresponding values are responsible for an observed anomaly in an aggregated time series. The project includes the RiskLoc algorithm itself, alongside implementations of several baseline multi-dimensional root cause localization methods such as AutoRoot, RobustSpot, Squeeze, HotSpot, and Adtributor. This enables comparative analysis and research within the domain of AIOps and system diagnostics. The repository also provides code for generating synthetic datasets, facilitating empirical verification and exploration of the algorithms. By tackling the vast search space of potential root cause combinations, RiskLoc aims to enhance the efficiency and accuracy of incident detection and resolution in IT operations, making it a valuable tool for SREs and DevOps teams dealing with large-scale, intricate systems.

https://github.com/shaido987/riskloc

root-cause-analysisanomaly-detectiontime-seriesmulti-dimensional analysisAIOpsincident management

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