How values spread across ranges. Sample data: response times from 0 to 900 ms, P50 250 ms, P95 475 ms.
Installation
- 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
Add the chart
One command adds the Histogram component to your project.
npx shadcn add @chartory/histogram - 3
Use it
Pass your rows. The props are the Figma properties.
usage.tsximport { Histogram } from "@/components/chartory/histogram"<Histogram data={responseTimes} size="m" legend/>
Props
<Histogram>
Every prop but data is a Figma property with the same name and values.
HistogramData
The data prop: one object for the whole chart.
HistogramP
One object per entry in p.
The data as a JSON Schema: schemas/histogram.json
Histogram: a React and Figma chart in four sizes
What does a histogram show?
A histogram sorts many values into bins and counts each bin, so the spread shows: where most values sit and how long the tail is. Use it for response times, order sizes and any measure with thousands of values.
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 Histogram component?
It is one <Histogram> component. Its props are the Figma properties with the same names and values, and the props table above lists them. The data is already-binned counts, plus the P50 and P95 marks.
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?
- Is it one group? Yes means the histogram fits.
- Does the full shape matter? Yes means the histogram fits.
- Is it one moment? Yes means the histogram fits.
When does another type fit better?
- Several groups compared. Use Box plot instead.
- A summary is enough. Use Box plot instead.
- Values spread over time. Use Latency field instead.
Histogram questions
Installing, data, Figma and plans.
Yes. It installs through the shadcn registry with the shadcn CLI, and the file lands in your project.
It is free in Hearth and MIT licensed: add the @chartory registry URL once, no token, then run npx shadcn add @chartory/histogram. The Installation guide has the steps.
Yes. Connect the Chartory MCP server and ask for the histogram chart; the agent runs the same command and you review the diff.
Already-binned counts, plus the P50 and P95 marks. The sample data comes with the component, and the props table lists every field.
XS, S, M and L, in Figma and in code. Each size is laid out again from the data, so text and lines keep their size.
Yes. chart/006-histogram has the same properties as the component.
Yes. Every paint is a token, so the chart follows light and dark mode and the collection you pick.
None for Hearth: it is free in the public registry, no token. The Signal collection (@chartory/signal) comes with Code and Complete.