chartlet 0.1.0-alpha.2

Compile structured data into deterministic, accessible static charts
Documentation

chartlet

chartlet compiles a small JSON chart specification into a finished, accessible chart at build time. You get plain SVG, or an HTML figure with caption, source and data table. Nothing runs in the browser: no chart JavaScript, no hydration, no layout shift.

Grouped bar chart comparing budget and actual costs from January to April

  • Accessible by default: every chart carries a title and a generated description of the data, and the HTML output always includes the complete data as a table.
  • Deterministic: the same specification produces the same bytes, so charts can be reviewed, diffed and cached like any other build artifact.
  • Honest about problems: invalid input is rejected with a code, a path and a fix; layout compromises such as shortened labels are reported as warnings instead of happening silently.

Status: early alpha. Bar charts (single and grouped, vertical and horizontal) and categorical line charts are supported. The specification may still change before the first stable release.

Quick start

Install the CLI from crates.io (Rust 1.88 or newer). While chartlet is in alpha, name the version explicitly:

cargo install chartlet --version 0.1.0-alpha.2

Save a minimal specification as spec.json:

{
  "schemaVersion": 1,
  "type": "bar",
  "title": "Monthly revenue",
  "data": [
    { "label": "January", "value": 120 },
    { "label": "February", "value": 180 },
    { "label": "March", "value": 150 }
  ]
}

Render it:

chartlet render spec.json --format html -o chart.html

To build from a clone of this repository instead, run cargo install --path ..

Chart types

Chart Specification Example
Bar, vertical "type": "bar" with data monthly-revenue
Bar, horizontal, with negative values "orientation": "horizontal" quarterly-change
Grouped bar, up to four series categories and series instead of data budget-vs-actual
Line with gaps for missing values "type": "line", null values monthly-trend

Each example has its rendered .svg and .html next to it. The SVG files are also the reference output of the test suite.

Missing values

In a line chart, null marks an observation that does not exist. chartlet leaves a visible gap instead of drawing a line across it. In a grouped bar chart, null leaves out that bar. The data table shows these cells as “Missing”. A single-series bar chart requires a value for every category.

Several series

Replace data with categories and series. Every series needs exactly one value per category. A legend is added automatically, and the data table gets one column per series.

{
  "schemaVersion": 1,
  "type": "bar",
  "title": "Budget and actual costs",
  "categories": ["January", "February", "March"],
  "series": [
    { "name": "Budget", "values": [120, 150, 140] },
    { "name": "Actual", "values": [130, 145, null] }
  ]
}

Specification

schema/chartlet.schema.json is the complete contract and can be used for editor validation.

Field Required Description
schemaVersion yes Always 1.
type yes bar or line.
title yes Visible title; also the accessible name of the chart.
data one of Single series: [{ "label": "…", "value": 1 }].
categories + series one of Several series: unique category labels, and [{ "name": "…", "values": […] }].
orientation no vertical (default) or horizontal; bar charts only.
description no Replaces the generated description.
source no Shown below the chart in the HTML output.
categoryAxis.title no Title of the category axis.
valueAxis.title no Title of the value axis.
valueAxis.format no number (default) or percent; 0.12 is shown as 12%.
width, height no Size in pixels: 320–2400 × 240–1600, default 800 × 450.
showValues no Value labels on bars and points, default true.

Limits: up to 100 categories and four series. Labels must be unique. Values must be zero or have a magnitude between 1e-100 and 1e100.

Output

Option Effect
--format svg Standalone SVG with <title> and <desc> (default).
--format html <figure> with caption, SVG, source and data table.
--table details Puts the HTML data table in a native, initially closed <details> (default).
--table visible Shows the data table permanently.
--id-prefix <prefix> Stable prefix for the accessibility IDs; needed when the same chart appears twice on one page.
-o <path> Writes to a file instead of standard output.
--strict Fails on any warning. Useful in CI.

Pass - instead of a file name to read the specification from standard input.

The SVG scales with its container, uses CSS classes for all styling and embeds no fonts, scripts or external resources.

Accessibility

  • The SVG is exposed as a single image (role="img"). Its accessible name is the title, and its description is generated from the data, for example: “Bar chart with 4 categories and 2 series (Budget, Actual). Highest: 160 (Budget in April). Lowest: 120 (Budget in January). 1 value is missing.”
  • The HTML output adds a <figure> with caption and a real <table> containing every value, including values whose visual label had to be left out.
  • Series colors stay distinguishable for the common forms of color-vision deficiency and have at least 4.5:1 contrast against white. The legend lists series in the same order as the bars.
  • Text is never removed silently: shortened labels and omitted value labels produce warnings, and the full text stays in the specification and the data table.

Testing with VoiceOver and NVDA is still pending. Until then, treat the output as designed for accessibility, not as verified.

Warnings and errors

Errors stop rendering and name a code, the location in the specification as a JSON Pointer (/ for the whole document) and a way to fix it:

chartlet: series_length_mismatch at /series/0/values: expected 2 values, one per category; use null for a missing value

Warnings are written to standard error, and the chart is still produced:

Code Meaning
text_truncated A label or title was shortened to fit.
value_labels_omitted Some value labels had no room next to their bars.
dense_chart More than 16 categories; the chart may be hard to read at this size.

Astro

The npm package @casoon/chartlet renders charts while Astro builds the site and ships no JavaScript to the browser. In the alpha, it calls the chartlet CLI, so install both:

npm install @casoon/chartlet@alpha
cargo install chartlet --version 0.1.0-alpha.2
---
import Chart from '@casoon/chartlet/astro';
import revenue from '../data/monthly-revenue.json';
---

<Chart id="monthly-revenue" spec={revenue} />

The CLI must be on PATH, or CHARTLET_BIN must point to it.

Rust

cargo add chartlet@0.1.0-alpha.2
use chartlet::{render_json, RenderFormat, RenderOptions};

let spec = std::fs::read_to_string("examples/monthly-revenue.json")?;
let output = render_json(&spec, RenderFormat::Html, &RenderOptions::default())?;
for warning in &output.warnings {
    eprintln!("{} at {}: {}", warning.code, warning.path, warning.message);
}
std::fs::write("chart.html", output.content)?;

render_with_metrics accepts your own TextMetrics implementation if your pages use a font whose widths differ noticeably from the built-in profile.

When chartlet is not the right tool

  • You need interaction such as tooltips, zooming, filtering or live updates.
  • The data changes at runtime rather than at build time.
  • You need maps, networks, 3D charts or chart types beyond the ones listed above.
  • You want to explore data rather than publish a finished chart.

License

MIT