1515 Open source projects that are alternatives of or similar to Adaptive Alerting

Chart.js plugin for live streaming data

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Open source framework for processing, monitoring, and alerting on time series data

Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Merlion: A Machine Learning Framework for Time Series Intelligence

real-time monitoring statistics dashboard for nginx rtmp module

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

fast implementation of singular spectrum transformation (change point detection algorithm)

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

A Python toolkit for rule-based/unsupervised anomaly detection in time series

Swell: API development tool that enables developers to test endpoints served over streaming technologies including Server-Sent Events (SSE), WebSockets, HTTP2, GraphQL, and gRPC.

Scalable datastore for metrics, events, and real-time analytics

📈 A small, fast chart for time series, lines, areas, ohlc & bars

An open-source and enterprise-level monitoring system.

Time Series Metrics Engine based on Cassandra

An open-source big data platform designed and optimized for the Internet of Things (IoT).

An End-to-end Outlier Detection System

A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (published at TNNLS)

💡 A Distributed and High-Performance Monitoring System. Prometheus enterprise edition

An open-source, low-code machine learning library in Python

An aggregating proxy to enable HA prometheus

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

The Heroic Time Series Database

An environmental monitoring and regulation system

[WIP] DiamonDB: Rebuild of time series database on AWS.

Tidy anomaly detection

An open source SQL database designed to process time series data, faster

The plugin-driven server agent for collecting & reporting metrics.

A T-Digest implementation in golang

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Hastic data management server for labeling patterns and anomalies in Grafana

Hastic data management server for analyzing patterns and anomalies from Grafana

A full featured Generic SNMP data collector with Web Administration Interface for InfluxDB

Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)

Real-time performance monitoring, done right! https://www.netdata.cloud

Loud ML is the first open-source AI solution for ICT and IoT automation

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Resources for working with time series and sequence data

Anomaly detection for temporal data using LSTMs

High-performance time series algorithms for Ruby

RNN based Time-series Anomaly detector model implemented in Pytorch.

The Prometheus monitoring system and time series database.

List of tools & datasets for anomaly detection on time-series data.

Swift Application Metrics instruments the Swift runtime for performance monitoring, providing the monitoring data programatically via an API or visually with an Eclipse Client.

Multipurpose dashboard admin for IoT softwares, remote control, user interface. Develop your client dashboards in Angular 5 with vast variety of components available.

Streaming JSON parser for Elixir

Time Series Cross-Validation -- an extension for scikit-learn

Cloud ready pure-python streaming data pipeline library

Time Series Forecasting Best Practices & Examples

Tutorial Sessions for SciPy Con 2019

Get inside your JVM

Legend builds and publishes Grafana dashboards for your services with prefilled metrics and alerts for your services.

Collect and aggregate Telemetry events over time

Extending broom for time series forecasting

StreamLine - Streaming Analytics

An open source, self hosted status page application for communicating service incidents to customers.

Variational Autoencoder for Dimensionality Reduction of Time-Series

STUMPY is a powerful and scalable Python library for modern time series analysis