microcharts
Word-sized charts for React, made for LLMs and humans — 106 chart types, zero runtime dependencies, accessible by default, RSC-safe.
Documentation
microcharts is 106 tiny, handcrafted chart types built to sit _inside_ an interface: a sentence, a table cell, a KPI
card, a tab header, a streamed AI reply. The grammar is small enough for a model to emit correctly mid-sentence, and
every chart describes itself in words, so a chart an LLM streams into a chat reply is one a person can read and check.
> Status: tested and in production use, but not across every stack and edge yet. If you hit something, open an issue
> on GitHub.
Why
- AI-native. A chart is plain `data` plus a generated sentence. One grammar across all 106 types — a model that has
seen one chart can write them all. → AI usage
- Zero dependencies. No chart engine, no D3 — just SVG. React is the only peer. CI-enforced, forever.
- Server-component safe. Static charts are hook-free and render to HTML with zero client JavaScript.
Interactivity is a separate opt-in `/interactive` import.
- Accessible by default. Every chart is an `img` with a natural-language summary built from your data; it updates
when the numbers do. → Accessibility
- Tiny. ~2–7 kB interactive · ~1–4 kB static gzip per chart, budget-gated in CI. Every type has one documented,
honest encoding channel and a stated precision.
- Motion, opt-in. Interactive charts draw on with `animate` plus one `import "@microcharts/react/motion"`, and glide
continuous marks when data updates. Entrances respect `prefers-reduced-motion` and never replay over server-rendered
HTML. → Motion
Install
npm install @microcharts/reactImport the stylesheet once at the root of your app — it carries every theming token and chart style in a
low-specificity cascade layer, so your own styles always win:
// app/layout.tsx
import "@microcharts/react/styles.css";Your first chart
Every chart renders from `data` alone. This works in a React Server Component with zero client JavaScript — pure
SVG, and its accessible name is generated from the data.
import { Sparkline } from "@microcharts/react/sparkline";
;Each chart imports from its own subpath, so you only ship what you use. Every chart follows the same two-entry
pattern: a static default, and an `/interactive` twin.
Add interactivity
Need hover, keyboard navigation, touch, or live announcements? Import the same chart from `/interactive`. The rendered
output and the accessible name are identical, because the interactive entry composes its static twin. It only adds
props; you opt into the client component where it matters.
import { Sparkline } from "@microcharts/react/sparkline/interactive";
;Every interactive chart shares one contract, so you learn it once. Hover or arrow keys make a unit active; a click,
tap, Enter, or Space selects it and pins the readout so it survives blur; Escape or
a press outside the chart clears; Home/End jump to the ends. Read it back with `onActive` and
`onSelect` — payload `{ index, value, label?, formatted? }`, where `value` is the raw number and `formatted` is the
chart's ready-to-display string — and control the pin with `selectedIndex` / `defaultSelectedIndex`. Set
`readout={false}` to hide the in-chart value chip and render `datum.formatted` wherever you like. Single-unit scalar
charts (Delta, Progress, StatusDot, Bullet, …) take `onSelect` alone.
setHovered(d?.value ?? null)} onSelect={(d) => pin(d)} />Annotate with children
Thresholds, markers, and target zones are children — the same grammar on every chart that supports them:
import { Sparkline } from "@microcharts/react/sparkline";
import { Threshold, Marker } from "@microcharts/react/annotations";
;Theme it
About two dozen `--mc-*` CSS custom properties are the runtime contract; presets are token bundles. Set one on a subtree
with the provider — presets are visual only and never change what the data means:
import { MicroProvider } from "@microcharts/react";
;Presets: `modern` (default), `editorial`, `mono`, `vivid`, plus output-context `print` and `eink`. Dark mode is
hand-tuned, not inverted. For a whole brand theme, `defineTheme` (from `@microcharts/react/theme`) derives a matched,
color-blind-safe palette and dark twins from one accent:
import { defineTheme } from "@microcharts/react/theme";
const brand = defineTheme({ accent: "#6d28d9" });
…;Retune density with one scalar (`--mc-density`), give figures their own face (`--mc-font-numeric`), or recolor a single
categorical chart with a `colors` array. → Theming guide
The catalog
106 stable chart types — 34 core, 26 decision, 23 expressive, 23 frontier — grouped by the _question_ each one
answers. `data` alone always renders something correct, and a prop name means the same thing on every chart (`domain`,
`color`, `title`, `summary`, `label`, `format`…), so picking a chart is picking the question you need answered.
Sparklines, bars, deltas, and bullets through bump charts, funnels, honeycombs, calendar strips, and confidence bands —
**browse them all in the live gallery →**
> Not shipping, on purpose: pie, needle-gauge/speedometer, battery, waffle, violin. Each fails at micro scale or on
> the honest-encoding bar, and each has an in-catalog replacement (Bullet for gauges, SegmentedBar for pie, MicroBox for
> violin). → what to use instead
Made for models
A model writes the chart; a person reads it. The docs site publishes machine surfaces alongside the human ones:
| Surface | What it is |
|---|---|
| `/llms.txt` | Curated map of the catalog and guides |
| `/llms-full.txt` | The complete generated docs corpus |
| `/catalog.json` | Every chart's name, import path, props, data shapes |
The MCP server
The surfaces above are for reading. `@microcharts/mcp` lets an
assistant call the library directly: a Model Context Protocol server that runs on your machine over stdio, with three
tools backed by this library — find the chart type that answers a question, get its exact props and a
ready-to-render sample, and render it to a self-contained SVG with the generated alt text attached.
{
"mcpServers": {
"microcharts": {
"command": "npx",
"args": ["-y", "@microcharts/mcp"]
}
}
}Works in Claude Desktop, Claude Code, Cursor, and VS Code; nothing is hosted and no key is involved. The same three
capabilities ship as Vercel AI SDK tools on the `@microcharts/mcp/ai-sdk` subpath. Full reference:
microcharts.dev/docs/mcp. Also listed in the
Compatibility
React 18 and 19. ESM-only, per-component subpath exports, types-first export conditions. Static charts render in any
RSC or SSR setup with no client runtime.
`sideEffects` is a two-entry allowlist, never `false`: `styles.css` and the opt-in `./motion` engine are both imported
for their side effects, and `false` would let a bundler drop them. Every other module is side-effect free and
tree-shakes normally, and since charts ship as per-component subpaths, you only pay for the ones you import.
Contributing
pnpm install
pnpm check # typecheck + lint + format + test + knip
pnpm size # gzip budgets (needs a build first)
pnpm buildBug fixes and fixes to existing charts are the most useful thing to send. New props and new chart types are open but
held to a high bar — the catalog is already broad at 106 types, so a new one needs a question the others can't answer.
Either way, open an issue and wait for a yes before you open a PR. CONTRIBUTING.md has the policy,
the CI gates, and what a good bug report contains.
License
Frequently asked questions
What is microcharts?
microcharts is Word-sized charts for React, made for LLMs and humans — 106 chart types, zero runtime dependencies, accessible by default, RSC-safe.
How do I install microcharts?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is microcharts open source?
Yes — it is hosted on GitHub at https://github.com/ganapativs/microcharts and has 167 stars.
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