luminol
pyod
luminol | pyod | |
---|---|---|
3 | 7 | |
1,159 | 7,962 | |
0.9% | - | |
1.6 | 7.5 | |
12 months ago | 5 days ago | |
Python | Python | |
Apache License 2.0 | BSD 2-clause "Simplified" License |
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.
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.
pyod
-
A Comprehensive Guide for Building Rag-Based LLM Applications
This is a feature in many commercial products already, as well as open source libraries like PyOD. https://github.com/yzhao062/pyod
-
Analyze defects and errors in the created images
PyOD
-
Multivariate Outlier Detection in Python
Check out the algorithms and documentation in this toolkit. It’ll give you a list of methods to read up on to understand their mechanisms. https://github.com/yzhao062/pyod
- Pyod – A Comprehensive and Scalable Python Library for Outlier Detection
- Predictive Maintenance and Anomaly Detection Resources
-
[D] Unsupervised Outlier Detection - Advise Requested
The source code and documentaion of PyOD is the best survey about OOD. Besides, the normalized flow and VQVAE are also feasible.
- PyOD: ~50 anomaly detection algorithms in one framework.
What are some alternatives?
luminaire - Luminaire is a python package that provides ML driven solutions for monitoring time series data.
tods - TODS: An Automated Time-series Outlier Detection System
stumpy - STUMPY is a powerful and scalable Python library for modern time series analysis
isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
loglizer - A machine learning toolkit for log-based anomaly detection [ISSRE'16]
alibi-detect - Algorithms for outlier, adversarial and drift detection
CueObserve - Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases
pycaret - An open-source, low-code machine learning library in Python
opensnitch - OpenSnitch is a GNU/Linux application firewall
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
pymiere - Python for Premiere pro