Real-time anomaly detection for time series metrics. 11 years of production anomaly detection evolution. Multi-algorithm ensembles. Pattern recognition using semi-supervised and unsupervised learning. Correlation analysis. Learns and gets better over time. No GPU required, can run on a VPS.
Lightweight netdata daemon
This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.
A Python toolkit for rule-based/unsupervised anomaly detection in time series
STUMPY is a powerful and scalable Python library for modern time series analysis
Automatic extraction of relevant features from 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.
VictoriaMetrics: fast, cost-effective monitoring solution and time series database
Anomaly Detection and Correlation library
Redis Python Client
ARTime anomaly detector for Skyline
ARTime detector for the Numenta Anomaly Benchmark
A Julia front-end to Python's Pandas package.
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
Model-driven configuration management, multi-node deployment/orchestration, and remote task execution system. Uses SSH by default, so there is no special software has to be installed on the nodes you manage. Ansible can be extended in any language. Note: The default branch is the development branch which many people run directly from checkout, if you need a stable version, see the release-XX branches, tags, or ansible.cc/releases.
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
Forge automated algorithms out of STEEL
Collects local metrics and sends them to downstream services
The Numenta Anomaly Benchmark
Real-time performance monitoring, done right!