10 Best JavaScript Charting Libraries

Whether you are adding a simple trend line to a small business dashboard or building a detailed data explorer, the right chart library can save hours of drawing and interaction work. This list is for developers who want a practical sense of the choices without having to compare every API first.

The options range from lightweight SVG components to expansive visualisation systems. Consider the shape of your data, the framework you use, and whether accessibility or a specialised chart type matters before adding a dependency.

Quick picks

• Best overall: Apache ECharts — a broad set of interactive charts with strong documentation.
• Best for React: Recharts — familiar components for teams already working in React.
• Best for custom visualisations: D3.js — fine-grained control over how data becomes graphics.
• Best for quick dashboards: Chart.js — a gentle starting point for common chart types.

How we picked

We looked for actively used projects with clear documentation and distinct strengths, rather than treating every library as interchangeable. Your choice should reflect:

• Chart coverage: common bars and lines, or specialist maps and networks?
• Integration: does it fit your framework and build setup?
• Customisation: can you adjust labels, colours, and interaction to match your product?
• Performance: think about dataset size and how often the view updates.
• Licensing and accessibility: review current project terms and keyboard or screen-reader support.

Friendly starting points

1. Chart.js

Chart.js is a popular canvas-based option for everyday bar, line, doughnut, and radar charts. Its straightforward configuration suits a developer who needs a clear chart quickly, and plugins add options such as annotations. Canvas rendering can be less convenient than SVG when you need individual elements to behave like accessible page content; the project is open source.

Best for: small dashboards with familiar chart types and modest customisation.

2. Recharts

Built from React components, Recharts lets React developers compose charts from pieces such as axes, tooltips, and series. That component model makes it comfortable to connect visual elements to application state and style them with familiar patterns. This is a focused fit for React rather than a general-purpose choice for other frameworks, and the project is open source.

Best for: React teams who want charts to feel like ordinary interface components.

3. Victory

Victory provides composable chart components for React Native as well as React on the web. This is useful when a product needs a consistent visual approach across a browser and a mobile app, with chart types and interactions assembled from reusable parts. Its component API takes some learning, and the project is open source.

Best for: teams sharing chart concepts between React web and native applications.

4. Nivo

Nivo wraps D3 capabilities in a collection of React chart components, with examples that make it easy to preview different looks. This is appealing when a dashboard needs polished visual output without building each graphic from low-level primitives. The range of configuration can still take time to learn, and the project is open source.

Best for: React developers who want attractive chart examples and a broad menu of chart forms.

Flexible visualisation toolkits

5. D3.js

D3.js is a toolkit for binding data to web documents and shaping visualisations with JavaScript, rather than a ready-made dashboard chart pack. Its flexibility is exceptional for bespoke diagrams, transitions, and unusual data stories; that freedom also means you build more of the layout and interaction yourself. The project is open source.

Best for: experienced developers making a visual explanation that off-the-shelf charts cannot express.

6. Apache ECharts

Apache ECharts offers a large catalogue, including standard charts, maps, and combinations such as a line over bars. This is a capable choice for interactive dashboards, with options for zooming and handling substantial data displays. The configuration surface is larger than a minimal chart package, so beginners may need time with its examples; the project is open source.

Best for: product dashboards that need varied chart types and rich built-in interaction.

7. Plotly.js

Plotly.js supports interactive scientific and business charts, including 3D plots and maps, and is often used when users need to inspect data rather than just view a picture. Hover details and zooming make dense charts more explorable. Its feature breadth may be unnecessary for a few simple metrics. The library is open source, and Plotly also offers commercial products.

Best for: analytical pages where users need to explore points, ranges, and complex datasets.

Specialist and premium options

8. Highcharts

Highcharts is a mature charting suite with extensive chart options and integrations, including wrappers for popular frameworks. Its documentation and polished defaults can help teams deliver a professional report interface quickly. Commercial use generally requires a paid licence, so check terms early; free use is available for qualifying non-commercial projects.

Best for: organisations that value a supported, mature toolkit and can plan for licensing.

9. amCharts

amCharts focuses on richly interactive charts and maps, with an editor and examples that help teams evaluate a design before implementation. The map and geographic visualisation features stand out for applications that need more than basic axes. Its full capabilities and licensing are worth checking against a small project's budget; a free option includes branding, with paid upgrades available.

Best for: teams building map-heavy interfaces or presentations with detailed interactions.

10. Observable Plot

Observable Plot is a concise JavaScript plotting library designed to make common data graphics readable and quick to express. It suits exploratory work and reports where a developer wants sensible defaults without writing a full visual grammar. Highly bespoke application interactions may call for lower-level D3 work instead; Plot is open source.

Best for: developers making clear data reports with compact code and a lighter setup.

How to choose the right one

Begin with two representative charts from your real product, not a demo with idealised data. Try the library's official example with your actual labels, empty states, and longest values; check how a narrow screen behaves and whether a keyboard user can reach the information. If the tool is only for internal reporting, broad chart coverage may matter more than fine-grained accessibility customisation.

Framework fit is another useful filter. A React component package can simplify a React app, while D3 or ECharts may suit a wider range of setups. Review the licence before shipping a commercial product, particularly for paid suites. You can also format sample data first with Stockio's JSON Formatter, browse more development tools, and compare options in our JavaScript and TypeScript resources.

Key takeaways

• Choose for your actual framework and chart needs, not the longest feature list.
• Chart.js and Recharts are approachable for familiar web dashboards.
• D3.js offers control, but asks you to build more yourself.
• Check licensing and accessibility before the final implementation.
• Test with real data, especially on small screens and in empty states.