AnomalyDetection - Anomaly Detection with R

  •        139

AnomalyDetection is an open-source R package to detect anomalies which is robust, from a statistical standpoint, in the presence of seasonality and an underlying trend. The AnomalyDetection package can be used in wide variety of contexts. For example, detecting anomalies in system metrics after a new software release, user engagement post an A/B test, or for problems in econometrics, financial engineering, political and social sciences.



Related Projects

Deeplearning4J - Neural Net Platform in Java and Scala

Deeplearning4J is an open source, distributed neural net library written in Java and Scala. It integrates with Hadoop and Spark and runs on several backends that enable use of CPUs and GPUs. It provides versatile n-dimensional array class for Java and Scala.

bell.js - No longer maintained. Use instead please.

Bell.js is a real-time anomalies(outliers) detection system for periodic time series, built to be able to monitor a large quantity of metrics. It collects metrics form statsd, analyzes them with the 3-sigma, once enough anomalies were found in a short time it alerts us via sms/email etc.We eleme use it to monitor our website/rpc interfaces, including api called frequency, api response time(time cost per call) and exceptions count. Our services send these statistics to statsd, statsd aggregates them every 10 seconds and broadcasts the results to its backends including bell, bell analyzes current stats with history data, calculates the trending, and alerts us if the trending behaves anomalous.

Apache Metron - Real-time Big Data Security

Metron integrates a variety of open source big data technologies in order to offer a centralized tool for security monitoring and analysis. Metron provides capabilities for log aggregation, full packet capture indexing, storage, advanced behavioral analytics and data enrichment, while applying the most current threat intelligence information to security telemetry within a single platform.

BreakoutDetection - Breakout Detection via Robust E-Statistics

BreakoutDetection is an open-source R package that makes breakout detection simple and fast. The BreakoutDetection package can be used in wide variety of contexts. For example, detecting breakout in user engagement post an A/B test, detecting behavioral change, or for problems in econometrics, financial engineering, political and social sciences.The underlying algorithm – referred to as E-Divisive with Medians (EDM) – employs energy statistics to detect divergence in mean. Note that EDM can also be used detect change in distribution in a given time series. EDM uses robust statistical metrics, viz., median, and estimates the statistical significance of a breakout through a permutation test.

sensey - :zap: [Android Library] Play with sensor events & detect gestures in a breeze.

The library is built for simplicity and ease of use. It eliminates most boilerplate code for dealing with setting up sensor based event and gesture detection on Android. Starting with 1.0.1, Changes exist in the releases tab.

Simple Event Correlator

Simple Event Correlator (SEC) is a lightweight event correlator for network management, log file monitoring, security management, fraud detection, and other tasks which involve event correlation.


devialog is a behavior/anomaly-based syslog intrusion detection system which detects unknown attacks via anomalies in syslog. It can generate signatures for ease of management, act upon anomalies in a predefined fashion or perform as a standard log parser


vSentinel is a customizable 3D mapping of your network monitoring or security data for real-time or trend-based attack and anomaly detection and analysis.

Jubatus - Framework and Library for Distributed Online Machine Learning

Jubatus is a distributed processing framework and streaming machine learning library. Jubatus includes these functionalities: Online Machine Learning Library: Classification, Regression, Recommendation (Nearest Neighbor Search), Graph Mining, Anomaly Detection, Clustering, Feature Vector Converter (fv_converter): Data Preprocess and Feature Extraction, Framework for Distributed Online Machine Learning with Fault Tolerance.

egads - Extendible Generic Anomaly Detection System

EGADS system, consumes time series and outputs anomalies.


Ourmon is a network monitoring and anomaly detection system and displays the data for multiple BPF expressions via RRDTOOL-based graphs. It also helps the user identify various kinds of network anomalies using various flow analysis tools and logging.

nude.js - Nudity detection with JavaScript and HTMLCanvas

nude.js is a JavaScript implementation of a nudity scanner based on approaches from research papers. HTMLCanvas makes it possible to analyse image data and afterwards decide whether it should be displayed or not. The detection algorithm runs at the client, therefore it's possible (with user interaction) to display the image even if it's identified as nude (false positive) The real world usage for client side nudity detection could be in webproxies with child security filters, and maybe even more (e.g. on social media plattforms) nude.js is Open Source. Contributions are very welcome, the goal is to build a reliable client-side nudity scanner.Test the nudity detection script on several predefined images, I didn't have enough time to build a nice demo with flickr image support but feel free to test some of your images too. nude.js is currently supported in IE9(excanvas), FF 3.6+, Chrome, Safari and Opera. For really fast results try Chrome.

Accord.NET - Machine learning, Computer vision, Statistics and general scientific computing for .NET

The Accord.NET project provides machine learning, statistics, artificial intelligence, computer vision and image processing methods to .NET. It can be used on Microsoft Windows, Xamarin, Unity3D, Windows Store applications, Linux or mobile.

whatlanguage - A language detection library for Ruby that uses bloom filters for speed.

Text language detection. Quick, fast, memory efficient, and all in pure Ruby. Uses Bloom filters for aforementioned speed and memory benefits. It works well on texts of over 10 words in length (e.g. blog posts or comments) and very poorly on short or Twitter-esque text, so be aware. Works with Dutch, English, Farsi, French, German, Italian, Pinyin, Swedish, Portuguese, Russian, Arabic, Finnish, Greek, Hebrew, Hungarian, Korean, Norwegian, Polish and Spanish out of the box.

Face Detection For Windows Phone 7

A library for performing face detection on windows phone 7. This library uses the same algorithms and detection models as OpenCV and is written in C# and built for the Windows Phone. Also includes a camera user control that supports automated taking of photos and showing camer...


Ezechiele is the powerful verlihub BOT developed in LUA; many functions included such: proxy detection, fake detection, forbidden file detection, junk file detection, IPcontrol for operators, antiraw protection, netlimiter antiMOglo and many more!

Suricata IDS - Network threat detection engine

The Suricata engine is capable of real time intrusion detection (IDS), inline intrusion prevention (IPS), network security monitoring (NSM) and offline pcap processing. Suricata inspects the network traffic using a powerful and extensive rules and signature language, and has powerful Lua scripting support for detection of complex threats.

OSSEC - Host-based Intrusion Detection System

OSSEC is an Open Source Host-based Intrusion Detection System. It performs log analysis, file integrity checking, policy monitoring, rootkit detection, real-time alerting and active response.

atomic-red-team - Small and highly portable detection tests.

Small and highly portable detection tests mapped to the Mitre ATT&CK Framework.Our Atomic Red Team tests are small, highly portable detection tests mapped to the MITRE ATT&CK Framework. Each test is designed to map back to a particular tactic. We hope that this gives defenders a highly actionable way to immediately start testing their defenses against a broad spectrum of attacks.

platform.js - A platform detection library.

A platform detection library that works on nearly all JavaScript platforms. Platform.js is for informational purposes only & not intended as a substitution for feature detection/inference checks.