Last updated: March 3, 2026
Reference - Chart Types
Overview
Dash0 dashboards are built from a library of configurable chart types.
Each chart is defined by a kind identifier and a spec object that controls its data source, visual appearance, formatting, and behavior.
You can combine multiple widget types on a single dashboard to create tailored views of your metrics, traces, logs, and service topology.
List of Chart Types
This page lists every available chart type.
Follow the links for full property reference documentation.
| Chart Type | Description |
|---|---|
| Dash0HeatmapChart | Displays latency or duration distributions as a heatmap over time, sourced from traces or web events. |
| Dash0TreeMapChart | Displays metric data as a tree map showing proportional areas for each series. |
| DependencyMap | Displays a service dependency graph showing upstream and downstream service relationships with optional latency thresholds. |
| GaugeChart | Displays a single metric value as a gauge visualization with configurable max, thresholds, and display modes. |
| GeoMap | Displays metric data on a geographic map with configurable projections and country-level grouping. |
| HierarchyMap | Displays service or resource hierarchies grouped by attributes with health indicators. |
| IssuesTimeline | Displays detected issues over time with optional filtering and variable bindings. |
| LogTable | Displays log entries in a table with configurable columns, filters, and sorting. |
| Markdown | Displays static markdown-formatted text content within a dashboard panel. |
| PieChart | Displays metric data as a pie or donut chart showing proportional distribution across series. |
| StatChart | Displays a single aggregated metric value as a large number with optional sparkline and thresholds. |
| TimeSeriesChart | Displays metric data as a time series line or bar chart with optional legend, thresholds, and Y-axis configuration. |
| TimeSeriesTable | Displays time series data in a tabular format with configurable column formats, sorting, and aggregation. |