Anomaly Packages

Machine learning package for node-red.

A StatsD backend that send metrics to Anodot

Real-time anomalies(outliers) detection system for periodic time series

Machine learning package for node-red.

Simple Machine Learning Example

Apache Kafka topic and message anomaly detection with automated discovery

NodeRED Extension Pack for SparkML

NodeJs client for tracking events with ThisData

express middleware detecting burst access

Common exception classes for browser and NodeJS

This npm package provides a powerful tool for anomaly detection in images. Leveraging state-of-the-art deep learning models, it accurately identifies various anomalies, including human falls, violence, wall theft, fire, smoke, and weapons. The package off

Exports visual representation of trees in Isolation Forest into different formats using Graphviz. Evaluates the anomaly scores and average path lengths for input data.

Moving Grubbs' test for outliers.

Grubbs' test for outliers.

Relatively simple library bringing multiple outlier/anomaly detection algorithms together in one place.