One run's steps, and where the time went. Sample data: one 9.1 s run, plan 0.8 s, six fetches 6.1 s, write 1.7 s, 4.4 s after the fix.
Installation
- 1
Set up the registry once
Your token in .env and @chartory in components.json. Skip this when another chart is already installed.
Installation guide - 2
Add the chart
One command adds the Span waterfall component to your project.
npx shadcn add @chartory/span-waterfall - 3
Use it
Pass your rows. The props are the Figma properties.
usage.tsximport { SpanWaterfall } from "@/components/chartory/span-waterfall"<SpanWaterfall data={runSpans} size="m" legend/>
Props
<SpanWaterfall>
Every prop but data is a Figma property with the same name and values.
SpanWaterfallData
The data prop: one object for the whole chart.
SpanWaterfallRow
One object per entry in rows.
SpanWaterfallNow
The now object.
SpanWaterfallFix
The fix object.
The data as a JSON Schema: schemas/span-waterfall.json
Span waterfall: a React and Figma chart in four sizes
What does a span waterfall show?
A span waterfall draws each step of one run as a bar starting where it began, so the slow step stands out. A second marker can show the run time after a fix. Use it for agent runs, traces and request timings.
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 Span waterfall component?
It is one <SpanWaterfall> component. Its props are the Figma properties with the same names and values, and the props table above lists them. The data is steps with a start and a length.
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?
- Are the steps in one flat list? Yes means the span waterfall fits.
- Is it one run? Yes means the span waterfall fits.
- Is it time, not money? Yes means the span waterfall fits.
When does another type fit better?
- Steps nested in steps. Use Flame graph instead.
- Many runs. Use Latency field instead.
- A cash walk. Use Waterfall instead.
Span waterfall questions
Installing, data, Figma and plans.
Yes. It installs through the shadcn registry with the shadcn CLI, and the file lands in your project.
Add your token and the @chartory registry once, then run npx shadcn add @chartory/span-waterfall. The Installation guide has the steps.
Yes. Connect the Chartory MCP server and ask for the span waterfall chart; the agent runs the same command and you review the diff.
Steps with a start and a length. 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/107-span-waterfall 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.
Code and Complete. Figma has the Figma file only.