[sparkline-basic] Basic Sparkline

[MarkusNeusinger]

Description

A sparkline is a small, condensed line chart designed to be embedded inline with text or in dashboard cells. It shows trends at a glance without axes, labels, or detailed scales - pure data visualization in minimal space.

Key Features

• Minimal size, maximum information density
• No axes or gridlines
• Often shows min/max points highlighted
• Designed for inline or table cell embedding

Applications

• Dashboard KPI trend indicators
• Inline stock price trends
• Table cells showing metric history
• Small multiples for comparing many series

Data Requirements

• values (numeric array) - Sequential values
• Size: 10-100 data points typical
• No explicit x-axis needed (assumed sequential)

Visual Elements

• Single continuous line
• Optional: highlight first/last points
• Optional: highlight min/max points
• Optional: reference line (e.g., average)
• Optional: fill under line
• Compact aspect ratio (wide and short)

[claude]

✅ Spec ID: sparkline-basic

Rationale: Sparklines are a distinct visualization type - minimal inline charts with no axes or labels, designed for embedding in text or dashboards. While similar to line charts in using connected points, their defining characteristic is extreme minimalism for compact display. No duplicate found.

[github-actions]

✅ Specification Ready: sparkline-basic

PR: #1025

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specification.md

sparkline-basic: Basic Sparkline

Description

A sparkline is a small, condensed line chart designed to be embedded inline with text or in dashboard cells. It shows trends at a glance without axes, labels, or detailed scales - pure data visualization in minimal space. The defining characteristic is extreme minimalism: a single continuous line that conveys the shape of data without any chart chrome.

Applications

• Dashboard KPI trend indicators showing metric changes over time
• Inline stock price trends embedded in financial tables or reports
• Table cells displaying metric history for quick comparison across rows
• Small multiples for comparing many series side-by-side

Data

• values (numeric array) - Sequential values representing the trend to display
• Size: 10-100 data points (enough to show meaningful trends while staying compact)
• Example: Daily sales figures, hourly temperature readings, stock closing prices

Notes

• No axes, labels, or gridlines - pure visualization
• Compact aspect ratio (wide and short, typically 4:1 to 8:1)
• Optional: highlight min/max points with colored dots
• Optional: highlight first/last points for reference
• Optional: fill under line for area effect
• Line should be thin and clean for clarity at small sizes

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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: sparkline-basic
PR: #1025 (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