[dashboard-metrics-tiles] Real-Time Dashboard Tiles

[MarkusNeusinger]

Description

A dashboard layout with multiple metric tiles updating in real-time, showing KPIs with sparklines and change indicators.

Applications

• Operations monitoring dashboards
• Business KPI displays
• Server/infrastructure monitoring
• Sales/marketing metrics

Data

• Multiple metrics with current values
• Historical values for sparklines
• Update frequency: 5-30 seconds

Notes

• Grid layout of metric tiles
• Each tile: value, label, sparkline, change indicator
• Color coding for status (good/warning/critical)
• Responsive tile arrangement
• Smooth value transitions

[claude]

✅ Spec ID: dashboard-metrics-tiles

Rationale: Dashboard with metric tiles is distinct from existing specs - combines KPI values, sparklines, and change indicators in a grid layout, which is different from subplot-grid (generic chart layouts), sparkline-basic (single sparklines), or gauge-basic (single values).

Add label approved to begin generation.

[github-actions]

✅ Specification Ready: dashboard-metrics-tiles

PR: #3800

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specification.md

dashboard-metrics-tiles: Real-Time Dashboard Tiles

Description

A dashboard layout displaying multiple metric tiles in a responsive grid, where each tile shows a KPI value with its label, an embedded sparkline showing recent trend, and a change indicator (up/down arrow with percentage). This visualization is essential for operations monitoring and business dashboards where multiple metrics need to be tracked simultaneously at a glance. The combination of current value, trend visualization, and change direction provides comprehensive metric context in a compact format.

Applications

• Operations monitoring dashboards displaying server health metrics (CPU, memory, latency)
• Business KPI displays showing sales, revenue, and conversion metrics
• Infrastructure monitoring with real-time system performance indicators
• Marketing analytics dashboards tracking campaign performance metrics

Data

• metric_name (string) - Label/name for each KPI tile
• current_value (numeric) - The current/latest value of the metric
• history (numeric array) - Historical values for sparkline (10-50 points)
• change_percent (numeric) - Percentage change from previous period (positive or negative)
• status (categorical, optional) - Status indicator: good, warning, or critical
• Size: 4-12 metric tiles arranged in a grid
• Example: CPU Usage at 45% (down 5%), Memory at 72% (up 8%), Response Time at 120ms (down 15%)

Notes

• Grid layout should be responsive: 2x2 for 4 tiles, 3x2 for 6 tiles, 3x3 or 4x3 for more
• Each tile contains: prominent value display, metric label, mini sparkline, change indicator with arrow
• Color coding for status: green for good/normal, yellow/orange for warning, red for critical
• Change indicators use up/down arrows with color (green for favorable change, red for unfavorable)
• Sparklines should be compact and positioned below or beside the main value
• Consistent tile sizing and spacing for clean dashboard appearance
• For static output, simulate a snapshot of the real-time state with varied metrics

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Next: Add approved label to merge this specification to main.

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🤖 spec-create workflow

[github-actions]

🚀 Specification Merged!

Specification: dashboard-metrics-tiles
PR: #3800 (merged)

The specification is now in main and synced to PostgreSQL.

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Next: Add generate:{library} labels to start generating implementations.

Available libraries: matplotlib, seaborn, plotly, bokeh, altair, plotnine, pygal, highcharts, letsplot

Or use workflow dispatch for bulk operations.

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🤖 spec-create workflow