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A React data visualization library designed for AI-assisted development and streaming data.

Start with a small chart component. Add network graphs, streaming data and coordinated views when the task needs them. Structured schemas, diagnostics and rendering evidence help coding assistants implement, check and repair chart configurations.

Work through a complete task: check category totals, maintain a live chart, or correct a published chart. The source task packets identify their build and evidence scope; source availability does not establish installed or deployed parity.

<!-- semiotic-readme-dashboard:start --> <img src="./docs/public/assets/img/semiotic-release-dashboard.svg" alt="Semiotic release dashboard showing chart count, bundle sizes, capability coverage, chart families, and documentation growth" width="100%"> <!-- semiotic-readme-dashboard:end -->

What's New in 3.12.1

3.12.1 extends network perspectives to the Atlas readers and improves projected layout sizing, annotation anchors, and static SVG precision. Placement components retain their identity across package entries, and semioticVite() removes unused worker assets from Vite 7 builds while preserving workers that are used.

See the changelog for the full list and SVG compatibility notes.

Why Semiotic

Semiotic is a data visualization library for React that combines broad chart coverage with AI tooling. It supports network graphs, streaming data, statistical distributions and coordinated views, with schemas, examples and diagnostics for implementing and checking each task. Check the project's existing dependencies first: extending its current charting library may be the best fit for a small change.

Built for AI-assisted development

Semiotic provides a workflow for generating, checking and repairing chart configurations. The July 27, 2026 evaluation reports model- and task-specific results; it does not guarantee first-try correctness.

• semiotic/ai — a single import with the schema-backed chart capability catalog (XY, ordinal, network, realtime, geo, value, and portable recipes), optimized for LLM code generation. See ai/surface-manifest.json for the generated current inventory. Named imports now tree-shake across published chunks. Prefer family subpaths (semiotic/xy, semiotic/geo, semiotic/value, …) in production code to keep the intended chart family explicit; the cold-consumer table below reports initial-load and on-demand costs.
• ai/schema.json — machine-readable prop schemas for every component
• npx semiotic-mcp — an MCP server for tool-based chart rendering in any MCP client
• npx semiotic-ai --doctor — validate component + props JSON from the command line with typo suggestions and anti-pattern detection
• diagnoseConfig(component, props) — programmatic anti-pattern detector with actionable fixes, spanning validation, encoding, accessibility, and misleading-design (deception) checks
• auditData(component, props, data?) — chart-aware numeric preflight for inputs that pass schema validation but break the math: non-finite values, zero-span domains, invalid log inputs, negative size geometry, unsafe normalized totals, and scale-dominating outliers. Returns bounded row evidence and flows into diagnoseConfig, Chart Clinic, CLI doctor, and opt-in ChartContainer notifications
• AGENTS.md — concise repository workflow shared by modern coding agents; CLAUDE.md imports it and Copilot receives a short compatibility bridge
• ai/reference.md — complete on-demand product reference, kept out of always-loaded coding-agent context
• llms.txt — machine-readable documentation following the emerging standard

Every chart includes a built-in error boundary, dev-mode validation warnings with typo suggestions, and accessibility features (canvas aria-label, keyboard-navigable legends, keyboard live-region announcements, SVG <title>/<desc>) so AI-generated code fails gracefully with actionable diagnostics instead of a blank screen.

Accessibility is a release surface…