Data Visualisation Libraries

Dozens of libraries can render charts. Choosing one is overwhelming. The good news: Recharts solves 90% of use cases for React applications. For other cases, specific libraries excel.

Recharts: React's Best Default

Recharts is built on D3.js but with a React-friendly API. Declare charts with components: LineChart, BarChart, XAxis, YAxis, CartesianGrid, Tooltip, Legend. The declarative API feels natural to React developers.

Recharts provides sensible defaults. Charts look good without customization. Performance is excellent even with thousands of data points. TypeScript support is good. The community is active.

Use Recharts for standard charts: line, bar, area, scatter, pie. It covers 95% of dashboard use cases.

Chart.js: Framework-Agnostic

Chart.js is older and more established. Works with any framework or vanilla JavaScript. Simpler API than Recharts. Good for projects not in React.

Smaller bundle size than Recharts. Good when bundle size matters.

Victory: Composable Charts

Victory is very React-focused. Charts are component compositions. Well-maintained, good for complex charts with many customizations.

More powerful than Recharts for edge cases but more complex. Default choice is Recharts; switch to Victory when you need advanced features.

D3.js: Complete Control

D3 is the most powerful visualization library. It gives you complete control over every pixel. You manipulate SVG and canvas directly.

The downside: D3 is not a charting library. It's a data manipulation and visualization toolkit. Creating a basic bar chart requires significant code. The learning curve is steep.

Use D3 only when Recharts can't do what you need. Custom network graphs, org charts, or complex spatial visualizations. For standard charts, stick with Recharts.

Highcharts: Commercial Power

Highcharts is commercial (not free for non-commercial use). Comprehensive, excellent for complex requirements. Enterprise support available.

For startups and open-source projects, licensing costs are a factor. For established companies, Highcharts' power might justify the cost.

Plotly: Scientific and Statistical

Plotly is strong for scientific and statistical visualizations. 3D charts, statistical distributions, geological maps. Has a React wrapper.

For business dashboards, overkill. Use Plotly when you need specialized visualizations.

Apache ECharts: Powerful and Underrated

ECharts is incredibly powerful. Advanced charts, great performance, excellent documentation. Less popular in the React ecosystem than Recharts, but increasingly used.

Good alternative to Recharts if you find Recharts limiting. More complex API but more capable.

Animation in Charts

Animated charts are impressive. Data animates from old values to new values. But animations can obscure data. A rapid animation is hard to follow. Use animation sparingly.

Most charting libraries support animation. Recharts has smooth animation transitions. Use them, but not excessively.

Custom Chart Question: Build or Buy?

Sometimes you need a custom visualization not available in charting libraries. Network graph. Org chart. Custom spatial visualization.

Building custom charts with D3 or Canvas is significant work. Weeks of development. Consider whether the visualization is valuable enough to justify the cost.

If it's critical, build it with D3. If it's nice-to-have, use standard charts and accept the limitations.

Rendering: Canvas vs SVG

SVG charts are vector-based. Zoom without losing quality. Right-click to save. Integration with HTML and CSS. Slower performance with millions of data points.

Canvas charts are raster-based. Better performance with huge datasets. Can't interact with individual elements easily. Zoom might be pixelated.

Most dashboards use SVG (Recharts, D3, Plotly). Use Canvas for performance-critical visualization of massive datasets.