An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

GrammarViz 2.0 public release:

Java implementation of SAX, HOT-SAX, and EMMA

SAX, HOT-SAX, VSM, SAX-VSM, RePair and RRA in R (Rcpp)

Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.

Anomaly Detection using ELK (Elasticsearch, Logstash and Kibana)

Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.

Anomaly detection by indeed (reimplemented from twitter)