Automatic extraction of relevant features from time series:

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

Algorithms for outlier, adversarial and drift detection

A highly scalable real-time graphing system

Carbon is one of the components of Graphite, and is responsible for receiving metrics over the network and writing them down to disk using a storage backend.

Redis Python Client

VictoriaMetrics: fast, cost-effective monitoring solution and time series database

Anomaly Detection and Correlation library

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

A Julia front-end to Python's Pandas package.

ARTime detector for the Numenta Anomaly Benchmark

Code of DeSpaWN (https://arxiv.org/pdf/2105.00899.pdf)

Puppet module to manage Grafana

This puppet module provides numerous security-related configurations, providing all-round base protection.

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

ruptures: change point detection in Python

Puppet Module to install/configure Galera/XtraDB clusters on MySQL/MariaDB

A Python 2 and 3 library making time series data mining tasks utilizing matrix profile algorithms accessible to everyone.

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

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

An End-to-end Outlier Detection System

Collects local metrics and sends them to downstream services

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

The Numenta Anomaly Benchmark

Web UI for redis database content

Distributed reliable key-value store for the most critical data of a distributed system

Parse the XML which powers http://eyes.nasa.gov/dsn/dsn.html