luminaire
luminol
| luminaire | luminol | |
|---|---|---|
| 28 | 3 | |
| 753 | 1,159 | |
| 0.8% | 0.9% | |
| 0.0 | 1.6 | |
| 3 months ago | 12 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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luminaire
luminol
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How are SREs using AI?
We use something (developed in-house) similar to https://github.com/linkedin/luminol for anomaly and correlation.
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[P] anomaly detection in time series data
Hey, I solved this problem in my current job using Time Series Bitmap + Clustering. There's an implementation of this algorithm in this Linkedin's package called Luminol: https://github.com/linkedin/luminol
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How to make timer series correlations running faster?
I'm using the Luminol package to calculate correlations among normalized data.
What are some alternatives?
tods - TODS: An Automated Time-series Outlier Detection System
stumpy - STUMPY is a powerful and scalable Python library for modern time series analysis
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
loglizer - A machine learning toolkit for log-based anomaly detection [ISSRE'16]
darts - A python library for user-friendly forecasting and anomaly detection on time series.
CueObserve - Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases
DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
opensnitch - OpenSnitch is a GNU/Linux application firewall
Merlion - Merlion: A Machine Learning Framework for Time Series Intelligence
OpenOOD - Benchmarking Generalized Out-of-Distribution Detection
sktime - A unified framework for machine learning with time series