Chart Snippets — Free HTML CSS JS Copy-Paste Charts & Graphs

Charts turn raw numbers into something a person can read at a glance, which is why every analytics dashboard, finance app, fitness tracker, and admin panel needs them. The usual answer is to reach for Chart.js, D3, Recharts, or ApexCharts — but for a single bar chart or a sparkline, pulling in a 60–200 KB library is overkill, and you inherit its API, its theming quirks, and its bundle weight. This collection builds every common chart type in plain HTML, CSS, SVG, and vanilla JavaScript, so you can drop a real, animated, responsive chart into any page with zero dependencies.

Every snippet is copy-paste ready and exports to React, Vue, Angular, and Tailwind from the same source — so the same chart works whether you are prototyping in a static HTML file or wiring it into a component tree.

SVG and CSS, not canvas

Most of these charts are drawn with inline SVG rather than a <canvas>. SVG charts are resolution-independent (crisp on retina and at any zoom), styleable with CSS, accessible to screen readers when labelled, and animatable with CSS transitions and stroke-dasharray — no redraw loop required. The bar, stacked-bar, and waterfall charts use positioned divs with percentage heights; the line, area, radar, donut, gauge, and sparkline charts compute SVG path and polyline coordinates from the data; and the heatmaps lay out a CSS grid of intensity-coloured cells.

The full chart vocabulary

The set covers the charts you actually reach for: a bar chart and stacked bar chart for category comparison, a line chart and area chart for trends over time, a donut chart for part-to-whole proportions (computed with stroke-dasharray arcs), a radar chart for multi-axis comparison, a gauge chart for a single KPI against a range, a funnel chart for conversion stages, a waterfall chart for running totals, a candlestick chart for OHLC financial data, a sparkline for inline micro-trends, a real-time line chart that streams new points on an interval, and activity / matrix heatmaps for density and GitHub-style contribution grids.

Animated reveals done right

The charts animate in on first view rather than popping into place. Bars grow from the baseline, lines draw themselves via stroke-dasharray/stroke-dashoffset, and donut arcs sweep to their final angle — typically triggered once with an IntersectionObserver so the reveal fires when the chart scrolls into view and never re-runs on scroll-back. The real-time chart shifts its window as data arrives, demonstrating the append-and-trim pattern you need for live telemetry.

Data-driven and ready for real APIs

Each chart renders from a plain JavaScript array or object at the top of its script, so swapping the demo numbers for your real data — from a fetch, a WebSocket, or props in a framework — is a one-line change. The coordinate math, scaling (min/max normalisation), and axis rendering are written out in readable vanilla JS, which also makes these snippets a clear reference for understanding how charting libraries work under the hood.

When to use these vs a library

Reach for these snippets when you need a handful of charts, full control over the markup and styling, no bundle cost, and no library lock-in. Reach for a dedicated charting library when you need dozens of interactive chart types, complex tooltips and legends, zoom/pan, or live-editing — but for the common case, a dependency-free SVG chart you can read and own is the lighter, faster choice.