CLUSTER DATA-TIME-ALERTING · 5 ENTRIES · EARLIEST ENTRY 2016-09-29

Time-series anomaly detection tools

This cluster consists of frameworks, libraries, and platforms for processing, monitoring, and alerting on time-series data, with a focus on anomaly detection and distinguishing real events from sensor faults. The dated history before the index start includes only four entries, too few to discern any timeline shape, indicating the cluster either predates the index or many members are undated. Among the traction leaders, anomstack shows the strongest activity signal with 114 stars, while skyguard and kapacitor show none.

Entry timeline

ENTRY TIMELINE

SEP 2016: 1DEC 2017: 1JUN 2022: 1JUN 2023: 1SEP 2026: 1
SEP 2016SEP 2026

Members by activity

Activity signals, not revenue.

Build origin · 1 hand-coded · 4 unlabelled

Operator · 4 open source · 1 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 5 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01anomstack114★6 mostaleliveopen sourceOpen source tool for painless anomaly detection on metrics, helping to identify unusual patterns in data.
  2. 02skyguard0★1 moliveWeb platform that detects anomalies in weather-station data, distinguishes sensor faults from real weather, estimates corrected values, and alerts operators.
  3. 03kapacitor0★4 moliveopen sourceOpen-source framework for processing, monitoring, and alerting on time series data, enabling real-time analytics and anomaly detection.
  4. 04r-strucchange0★2 yrabandonedliveopen sourceSoftware library that tests, monitors, and dates structural changes in time-series data for statistical analysis.
  5. 05tickfmt0★8 yrabandonedlivehand-codedopen sourceFramework for processing, monitoring, and alerting on time-series data.