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DocsChartsRidgelineLast updated Nov 2, 2026

Ridgeline

The shape of each group's spread, stacked. Sample data: response length of five models, Atlas 3 to Nova, from 0 to 2K tokens.

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Response length by modelDistribution of response length in tokens for 5 models: ATLAS 3 peaks near 540, KITE 2 peaks near 380, ORION peaks near 900, VEGA peaks near 260, NOVA peaks near 620; ATLAS 3, ORION and VEGA have a second, smaller peak.ATLAS 3KITE 2ORIONVEGANOVA05001K1.5K2K TOKENS
Response length by model
ModelPeak (tokens)Spread (tokens)Weight
ATLAS 35401801
ATLAS 312502200.35
KITE 23801401
ORION9003001
ORION16002000.4
VEGA260901
VEGA7001600.25
NOVA6202401
Response length by modelDistribution of response length in tokens for 5 models: ATLAS 3 peaks near 540, KITE 2 peaks near 380, ORION peaks near 900, VEGA peaks near 260, NOVA peaks near 620; ATLAS 3, ORION and VEGA have a second, smaller peak.ATLAS 3KITE 2ORIONVEGANOVA05001K1.5K
Response length by model
ModelPeak (tokens)Spread (tokens)Weight
ATLAS 35401801
ATLAS 312502200.35
KITE 23801401
ORION9003001
ORION16002000.4
VEGA260901
VEGA7001600.25
NOVA6202401

Installation

  1. 1

    Set up the registry once

    This chart is free in Hearth and MIT licensed: no token. Add @chartory to components.json once (the URL alone, no headers), or skip this when another chart is already installed.

    Installation guide
  2. 2

    Add the chart

    One command adds the Ridgeline component to your project.

    npx shadcn add @chartory/ridgeline
  3. 3

    Use it

    Pass your rows. The props are the Figma properties.

    usage.tsx
    import { Ridgeline }  from "@/components/chartory/ridgeline"<Ridgeline  data={responseLength}  size="m"/>

Props

<Ridgeline>

Every prop but data is a Figma property with the same name and values.

PropTypeDefault
data: The chart's data. The tables below list every field.RidgelineDataRequired
size: The size class. Each one is laid out again from the data."xs" | "s" | "m" | "l""m"
color: The data colour of the primary marks (data/primary)."cat-1" | "cat-2" | "cat-3" | "cat-4""cat-1"

RidgelineData

The data prop: one object for the whole chart.

PropTypeDefault
rows: One entry per row.RidgelineRow[]Required
max: The top of the value scale.numberRequired
xt: The x axis ticks: [value, label] pairs.[number, string][]Required

RidgelineRow

One object per entry in rows.

PropTypeDefault
label: The name shown on the chart.stringRequired
tok: The colour token, e.g. "data/primary".stringRequired
peaks: The peaks: [centre, spread, weight].[number, number, number][]Required

The data as a JSON Schema: schemas/ridgeline.json

Ridgeline chart: a React and Figma chart in four sizes

What does a ridgeline chart show?

A ridgeline chart draws each group's distribution as a soft hill and stacks the hills with a slight overlap, so shapes compare down the page. Use it for response length by model, delivery time by region or scores by cohort.

Chartory ships it as a Figma component and a React component with the same name. The code installs from the shadcn registry with one command and lands in your project as a file you own.

What is the Ridgeline component?

It is one <Ridgeline> component. Its props are the Figma properties with the same names and values, and the props table above lists them. The data is a shape per group: centre, spread and weight.

Sizes XS, S, M and L re-lay the chart out from the data instead of scaling it, so labels stay readable at every size.

When should I use it?

  • Does the shape matter? Yes means the ridgeline fits.
  • Are there several groups? Yes means the ridgeline fits.
  • Is it values, not over time? Yes means the ridgeline fits.

When does another type fit better?

  • Five numbers per group are enough. Use Box plot instead.
  • One group in bins. Use Histogram instead.
  • Many series over time. Use Horizon instead.

Ridgeline questions

Installing, data, Figma and plans.

  • Yes. It installs through the shadcn registry with the shadcn CLI, and the file lands in your project.

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