etsy/skyline

Health v2 · maintenance only

Flags: no_releases archived no_license

Adoption not part of the score

2129 stars · 329 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Skyline is a real-time anomaly detection system for passively monitoring hundreds of thousands of high-resolution time series metrics without per-metric configuration. It ingests metric streams from sources like StatsD or Graphite, automatically analyzes them for anomalies, and surfaces results via a webapp with alerting support.

Use cases

• detect anomalies in server metrics automatically
• monitor hundreds of thousands of time series without configuring thresholds
• surface anomalous metrics from statsd or graphite streams
• get alerts when a metric behaves abnormally
• passive real-time monitoring of high-resolution timeseries

When to choose

• you have a large volume of high-resolution time series metrics and no per-metric thresholds
• you want automatic anomaly detection on a statsd or graphite metric stream
• you need a self-hosted anomaly detection pipeline with a web UI and alerting

When to avoid

• you need actively maintained software with recent fixes and support
• you want a modern anomaly detection stack with current Python dependencies
• you need a managed or cloud-native monitoring solution

Facets

application · maturity abandoned

monitoring alerting analytics data-science monitoring analytics time-series python self-hosted anomaly-detection time-series real-time metrics redis graphite statsd archived devops linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="etsy/skyline")