Gallery

Every chart type charted can render. All 15 examples below were generated by charted itself from real-ish datasets. No screenshots, no stubs.

15 chart types. All dogfooded.

Each chart below was rendered by charted from real-ish data. Pick a type, follow the link to its full docs.

ColumnChart

Vertical bars for time series and segment comparisons.

View docs →

BarChart

Horizontal bars, great for long category labels.

View docs →

LineChart

Trends over time with XY mode and log scale support.

View docs →

AreaChart

Filled area for cumulative and volume data.

View docs →

ScatterChart

Correlations and cluster distributions at a glance.

View docs →

BubbleChart

Three variables at once: x, y, and bubble size.

View docs →

PieChart

Proportional data with optional doughnut mode.

View docs →

RadarChart

Multi-axis profiles for comparing entities across dimensions.

View docs →

ComboChart

Mix bars, columns, lines, and areas on shared axes.

View docs →

HeatmapChart

Color-encoded matrices for density and correlation.

View docs →

GanttChart

Project timelines with task bars and dependency arrows.

View docs →

Histogram

Distribution analysis with configurable bin counts.

View docs →

PolarAreaChart

Radial magnitude: equal angles, radius encodes value.

View docs →

BoxPlot

Quartiles, IQR, and outliers for statistical distributions.

View docs →

SankeyChart

Flow diagrams with nodes connected by proportional ribbons.

View docs →

Themes

The same chart rendered under each built-in theme. Pass theme="light", theme="dark", or theme="high-contrast" to any chart constructor.

from charted import ColumnChart

chart = ColumnChart(
    data=[120, 180, 210, 150],
    labels=["Q1", "Q2", "Q3", "Q4"],
    title="Sales by Quarter",
    theme="dark",  # or "light", "high-contrast"
)
chart.save("themed.svg")

See Theming Guide for the full theme and palette API.