Principle:Evidentlyai Evidently Dashboard Panel Configuration

Knowledge Sources	Evidently UI Guide Evidently
Domains	ML_Monitoring, Visualization, Dashboard
Last Updated	2026-02-14 12:00 GMT

Overview

A dashboard visualization mechanism that configures monitoring panels for displaying metric trends, counters, distributions, and test results.

Description

Dashboard Panel Configuration adds visual panels to an Evidently monitoring project dashboard. Each panel type serves a different visualization purpose:

• DashboardPanelCounter: Single-value counter (latest value, sum, etc.)
• DashboardPanelPlot: Time-series line, bar, or scatter plots of metric values
• DashboardPanelHistogram (Distribution): Distribution histograms of metric values
• DashboardPanelTestSuite: Test pass/fail summaries

Panels reference specific metrics via PanelValue objects that identify the metric by its metric_id and the specific field_path within the result.

Usage

Use after creating a Project to configure the monitoring dashboard. Add panels before or after adding snapshots.

Theoretical Basis

Dashboard panels follow a declarative visualization pattern:

# Pseudocode: Declarative panel specification
panel = plot_panel(
    title="Drift Score Over Time",
    metric_ref=ValueDrift(column="age").metric_id,
    field="value",
    plot_type="LINE",
)
project.dashboard.add_panel(panel)

Related Pages

Implemented By

• Implementation:Evidentlyai_Evidently_Dashboard_Panels