luminaire VS OpenOOD

Compare luminaire vs OpenOOD and see what are their differences.

luminaire

Luminaire is a python package that provides ML driven solutions for monitoring time series data. (by zillow)
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luminaire OpenOOD
28 2
753 751
0.8% -
0.0 7.5
3 months ago 18 days ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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

Posts with mentions or reviews of luminaire. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-07.

OpenOOD

Posts with mentions or reviews of OpenOOD. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing luminaire and OpenOOD you can also consider the following projects:

tods - TODS: An Automated Time-series Outlier Detection System

pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

DGFraud - A Deep Graph-based Toolbox for Fraud Detection

luminol - Anomaly Detection and Correlation library

cleanlab - The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

darts - A python library for user-friendly forecasting and anomaly detection on time series.

anomaly-detection-resources - Anomaly detection related books, papers, videos, and toolboxes

DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

Merlion - Merlion: A Machine Learning Framework for Time Series Intelligence

sktime - A unified framework for machine learning with time series