LibreAI / Design / flint-chart
// design · microsoft/flint-chart

flint-chart

flint-chart est un projet de design open source, créé par microsoft (microsoft/flint-chart sur GitHub). Il compte 4 351 étoiles sur GitHub et 245 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 8 octobre 2026.

Flint compiles semantic chart specs into Vega-Lite, ECharts, Chart.js, Plotly — or native Excel charts

★ 4,4 k étoiles⑂ 245 forksMITmis à jour oct. 2026
▦ visuel — le README de ce projet ne contient aucune capture intégrable,
voici donc un emplacement réservé. Le guide ci-dessous est complet malgré tout.
// détails du projet

Détails du projet

Étoiles GitHub
4 351
Forks
245
Licence
MIT
Dernière mise à jour sur GitHub
8 octobre 2026
Catégorie
Design
Type de fiche
Guide d'installation complet
Site officiel
Official site
// fonctionnement

Comment ça marche

  1. Frame your data semantically

    Identify the semantic types behind your fields — measures like Price or Temperature, dimensions like Country or Rank.

  2. Install the library

    Add flint-chart from npm (or connect the hosted/npx MCP server for agent use).

  3. Write a semantic spec

    Describe the chart in Flint's compact spec format rather than low-level chart options.

  4. Compile and render

    Assemble output for your target — Vega-Lite, ECharts, Chart.js, Plotly, or a native Excel chart — and iterate on the theme.

// fonctionnalités

Pourquoi on l'adore

Semantic typing system

70+ semantic types let the compiler choose sensible encodings, scales, and formatting for your data.

Five output targets

Compile one spec to Vega-Lite, ECharts, Chart.js, Plotly, or native editable Excel charts.

Formal visual themes

Ten built-in presets plus custom ThemeSpec definitions with inheritance for house styles.

MCP server for agents

`npx flint-chart-mcp` (or the hosted endpoint) lets agents create, validate, and render charts, including PNG/SVG output.

Automatic layout

Layout and labeling are handled by the compiler rather than hand-tuned per chart.

Compact specs

Specifications stay short and data-focused compared with hand-writing Vega-Lite or ECharts options.

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// lancez-le

Lancez-le vous-même

  1. Clone the repository

    Clone the project and enter its directory (library users can install from npm instead).

    git clone https://github.com/microsoft/flint-chart.git
    cd flint-chart
  2. Install the library

    Add Flint Chart to your Node/TypeScript project.

    npm install flint-chart
  3. Compile your first chart

    Assemble a chart spec into Vega-Lite (or another target) as shown in the README examples.

    import { assembleVegaLite } from 'flint-chart'
    // build a semantic spec and pass it to assembleVegaLite({...}) — see README examples
// cas d'usage

Ce que vous pouvez créer

  • Generate consistent, publication-style charts from data in a TypeScript app
  • Let an AI agent produce validated charts through the Flint MCP server
  • Export analyst charts as native, editable Excel objects instead of images
  • Enforce one visual identity across dashboards via a shared ThemeSpec
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// faq

Questions fréquentes

Who maintains Flint Chart?

Microsoft Research publishes Flint Chart (the hosted MCP demo is at flint.data-formulator.ai).

Is Flint Chart free?

Yes, MIT-licensed, including the npm library and the local MCP server.

Does it need a paid API key?

No. The library and MCP server run locally; agents connecting to them use their own model access.

How does it compare to writing Vega-Lite directly?

Vega-Lite is one of Flint's output targets. Flint adds a semantic layer on top — types, themes, and layout — so one compact spec can target Vega-Lite, ECharts, Chart.js, Plotly, or Excel.

How do I get started?

Run `npm install flint-chart` and follow the README's assemble examples, or connect an agent with `npx -y flint-chart-mcp`.

// continuez l'exploration

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