Anomalychart

The Anomalychart view is designed for anomaly detection output. It renders a time series with anomaly points highlighted, making it easy to spot deviations from expected behavior.

Try it

Use make-series to produce a time series, then apply series_decompose_anomalies to detect outliers:

default
| make-series count() on timestamp step 5m
| extend anomalies = series_decompose_anomalies(count_)
| render anomalychart

Features

• Anomaly highlighting — data points flagged as anomalies are visually distinct
• Baseline overlay — shows the expected baseline alongside actual values
• Interactive legend — toggle series visibility
• Auto-render — use | render anomalychart to switch to this view automatically

See Visualizations for render options.