Node anomaly detection on continuous time series data
Isolation Forest for anomaly detection.
OCI NodeJS client for Ai Anomaly Detection Service
Node-RED node for time-series forecasting and anomaly detection using Exponential Smoothing
Simple anomaly detector based on 3 sigma rule
Anomaly JS Client.
Anomaly detection and behavioral baseline for @datacules/agent-identity — statistical detection of unusual credential usage patterns
Anomaly Packer is a tool that helps in making of an addon for STALKER Anomaly with type-safe code using TypeScript
Data anomaly detector for NodeJS
Statistical volume anomaly detection for trade streams - Hawkes process, CUSUM, and Bayesian Online Changepoint Detection (BOCPD). Zero dependencies. TypeScript.
TypeScript SDK for Observability AI API - EV charging session anomaly detection
Worker-runtime digest engine for D1/WAE operational metrics, anomaly callouts, notify delivery, and KV idempotency.
Relatively simple library bringing multiple outlier/anomaly detection algorithms together in one place.
Node.js SDK for LogWatch — AI-powered log anomaly detection
MCP client for refinancier — Trust Infrastructure for Uncertain Assets. Enterprise valuation, anomaly detection, and value-up recommendations for AI agents.
Agent spend tracking, budget enforcement, tool policy, and anomaly detection for OpenClaw
A command-line interface tool for anomaly detection and management
UniFi semantic analysis MCP server — fleet health, anomaly detection, cross-site analytics on top of Cloud API
DataFlow core engine — streaming pipeline, adapters, anomaly detection
Async-first browser and device fingerprinting library with explainable signals and anomaly scoring.
Anomaly Express is a security framework for Express.js that provides a set of tools and utilities to help you build secure applications.
Hope Shield for Anomaly Systems
Temporal knowledge discovery for RDF graphs - pattern mining, anomaly detection, trend analysis
Open-source Cursor IDE usage monitoring, anomaly detection, and alerting for enterprise teams
anomaly is deprecated. switch to anyhow or eyre
Tiny LLM inference for ESP32 microcontrollers with INT8/INT4 quantization, multi-chip federation, RuVector semantic memory, and SNN-gated energy optimization
Structured, categorized error handling inspired by Cognitect's anomalies
API error code types definition based on api-response
Pure Rust system call tracer with source-aware correlation for Rust binaries
Sequential pattern analysis through variable-order Markov chains. Built for detecting deviations in finite-alphabet sequences.
A pure Rust implementation of the SGP4 algorithm for satellite propagation
A sophisticated real-time anomaly detection system for ADS-B aircraft data with multi-tier detection algorithms, real-time web dashboard, and production-grade architecture built in Rust
Anomaly detection primitives for OxiCUDA — DeepSVDD, AE/VAE reconstruction, LOF, COPOD, isolation scoring, statistical methods, ensemble
A Rust library for running Edge Impulse Linux models
Derive macros for the anomalies crate
Time series anomaly detection for Rust
Easy-to-use anomaly detection for Ruby
Time series anomaly detection for Ruby
Domain Specific Language for querying NHS NCARDRS datastores
Anomaly detection using gaussian distribution, written in ruby
Explainable outlier/anomaly detection for Ruby
Read more documentation at repository homepage.
Edge stream anomaly detection for Ruby
Outlier/anomaly detection for Ruby using Isolation Forest
Random Cut Forest anomaly detection for Ruby
Normal distribution model allows to create normal distribution from given data.Initial reason to build this was to use it in anomaly detection in discrete numerical data.
Microsoft Azure Cognitive Services Anomaly Detector Client Library for Ruby
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