Tiny React charts that fit in a line of text, zero deps

Tiny React charts that fit in a line of text, zero deps

microcharts is a zero-dependency React library of word-sized charts and sparklines (106 chart types) designed to fit inside a sentence, table cell, or streamed assistant reply. It emphasizes tiny bundle size, accessibility, theming, and AI-friendly machine-readable surfaces.

Tiny React charts that fit in a line of text, zero deps is business intelligence software teams evaluate for creative & design. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Free API 70/100
#128 in Business Intelligence (128 tools)
Just launched
Data reviewed Jul 27, 2026

Quick Overview

Best for: Creative & Design

What it does

Business Intelligence software for decision-makers comparing workflow fit and alternatives.

Best fit

Creative & Design

Pricing snapshot

Free from Free

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Tiny React charts that fit in a line of text, zero deps

microcharts is a React library of word-sized charts and sparklines built to render legibly inside a sentence, table cell, KPI card, or streamed assistant reply. The project provides 106 compact chart types with an emphasis on extremely small client cost (interactive charts ~2.17–6.75 kB gzip, static SVGs from 1 kB), zero runtime dependencies, and accessibility by default. It targets developers building text-first UIs, model-driven surfaces, dashboards where space is constrained, and server-rendered pages (RSC-safe) that may ship no client JS. The library includes machine-readable catalog and prompt-ready documentation so models and agents can emit the typed chart blocks directly.

Word-sized React charts β€” tiny sparklines, micro charts & inline SVG trend lines. Zero runtime deps, ~2–7 kB interactive Β· ~1–4 kB static, accessible by default, RSC-safe. Sit in a sentence, table cell, KPI card, or AI reply.

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Key Features

Zero runtime dependencies

The library advertises dependencies: {} and React as a peer dependency, enabling minimal bundle impact and easy inclusion in projects.

106 word-sized chart types

A catalog of 106 compact chart types (sparklines, mini bars, heat strips, horizon, seismogram, etc.) optimized to fit in a line of text, table cell, or inline UI.

Tiny bundle cost

Interactive charts are CI-enforced at roughly 2.17–6.75 kB gzip per chart (median 5.07 kB); static SVG marks can be as small as ~1 kB.

Accessibility by default

Charts are role="img" with an accessible name generated from the data, keyboard-focusable with arrow navigation and polite live-region updates, and respect prefers-reduced-motion, forced-colors, and prefers-contrast.

AI-native and machine surfaces

Machine-friendly assets (llms.txt, llms-full.txt, catalog.json, agent-setup.md) and conventions let models and agents emit chart blocks directly into text streams or assistant replies.

Server Components & static SVG output

Supports rendering as pure SVG in React Server Components so static routes can ship no chart JS at all; an npx helper produces finished SVGs for surfaces that can’t run React.

Theming and color accessibility

defineTheme derives a color-blind-safe palette and matched dark variants from a single brand color; presets and CSS custom properties let charts re-theme consistently.

Robust to bad input

Hostile inputs such as NaN, Infinity, or empty arrays render sensible fallbacks (e.g., β€œNo data.” or single-value messaging) rather than crashing.

Pricing

Free Tier Available

MIT-licensed open-source library; free to use.

Open source (MIT)

Free
  • MIT license
  • Zero runtime dependencies
  • Full docs and example apps

Use Cases

Inline charts in prose and tables

Embed sparklines and micro charts inside sentences, table cells, KPI cards, and editorial copy where space is extremely limited.

Assistant/model replies and streamed output

Models and chat assistants can emit typed chart blocks mid-reply; a plain-text reply becomes a shipped component when the chart fence closes.

Server-rendered dashboards and analytics

Use in RSC/Server Components to render product analytics or service-health visuals with minimal client payload.

Developer tooling and scaffolded components

Coding agents, IDE integrations and scaffolding tools can output chart code from the typed catalog (examples: Cursor, Claude Code, Copilot integrations listed).

Compact trading and operations consoles

Examples include a night-session trading terminal and a service-health console where dense, word-sized marks communicate state quickly.

Print and editorial design

Presets and static SVG output enable small inline charts suitable for print or editorial placements where visual economy matters.

Integrations

Chat assistants & models

Documented compatibility with model outputs and assistants such as Claude, ChatGPT, Gemini, Grok, Perplexity, Qwen, and others that can emit chart blocks.

Frameworks & SDKs

Mentioned integrations for scaffolding and tool mapping including Vercel AI SDK, OpenAI Agents, LangChain, Anthropic SDK, and Hugging Face.

npx microcharts helper

npx -y @microcharts/mcp produces finished SVGs (find_microchart, get_microchart, render_microchart) for surfaces that can’t run React.

Benefits

Extremely small per-chart payloads compared with full charting toolkits, enabling inline use within text and tables.
Accessibility-first defaults: generated accessible names, keyboard interaction, and ARIA-friendly live updates.
AI-native documentation and machine-readable catalog let models and agents produce charts reliably.
Zero runtime dependencies and peer React dependency reduce integration friction and bundle bloat.
Server Components and static SVG workflows allow charts without shipping client JavaScript.

Limitations

Not every conventional chart type is available at word size (the site notes that pie charts, gauges and some other familiar shapes don’t survive at word size; replacements are provided).
Designed for inline, word-sized marksβ€”not a full-featured charting suite for large, interactive dashboards where a complete toolkit (e.g., Recharts) may be more appropriate.

Frequently Asked Questions

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Getting Started

  1. 1 Install the package: pnpm add @microcharts/react
  2. 2 Add a tiny chart inline (example from docs): <Sparkline title="Weekly revenue" data={[132,148,141,165,159,182,176,203]} curve="smooth" />
  3. 3 Read the quickstart and catalog to learn chart types and props (see the docs and catalog.json for machine-readable shapes)

Support

docs

Documentation and quickstart on the site (Docs / Quickstart / Catalog).

examples

Seven live example apps demonstrating every chart type (links available from the site).

repo & package

Package pages (npm) and project repository references available from the site footer (GitHub / npm links shown on the site).

API

Available: No
Documentation:

https://microcharts.dev/docs

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