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 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
luminaire
luminol
-
How are SREs using AI?
We use something (developed in-house) similar to https://github.com/linkedin/luminol for anomaly and correlation.
-
[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
-
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