Nivo alternatives

3 tools to consider instead of Nivo, shown against it.

Nivo D3.js Chart.js Apache ECharts
Vendor Nivo open-source project D3.js open-source project (Observable) Chart.js open-source project Apache Software Foundation
Pricing model Open source + paid options Open source + paid options Open source + paid options Open source + paid options
Free tier Yes Yes Yes Yes
Deployment Self-hosted Self-hosted Self-hosted Self-hosted
Open source Yes (MIT) Yes (ISC) Yes (MIT) Yes (Apache-2.0)
Best for React developers who want D3-quality charts as drop-in components. Front-end and data-visualization engineers who need fully custom, non-templated charts. Teams that want common chart types in a web app with minimal setup and bundle size. Teams building dashboards that need many chart types with less custom code than D3.
Pricing

Free, open-source library with no pricing page.

Pricing has not been verified yet — see the vendor's site.

Free, open-source library with no paid tier or vendor pricing page.

Pricing has not been verified yet — see the vendor's site.

Free, open-source library with no paid tier or pricing page.

Pricing has not been verified yet — see the vendor's site.

Free, open-source Apache project with no pricing page.

Pricing has not been verified yet — see the vendor's site.

Features
  • Ready-made React chart components built on D3
  • SVG, Canvas, and HTML rendering variants
  • Interactive, live-editable documentation
  • Bar, line, pie, heatmap, treemap, and network charts
  • Built-in theming system
  • Server-side rendering support
  • Low-level data-to-DOM binding
  • SVG, HTML, and Canvas rendering
  • Scales, axes, and shape generators
  • Animated transitions
  • Force-directed and hierarchical layouts
  • Geographic projections
  • Full control over every visual element
  • Bar, line, pie, doughnut, radar, and scatter charts
  • HTML5 Canvas rendering
  • Built-in animations
  • Responsive, mobile-friendly resizing
  • Plugin ecosystem for extra chart types
  • Small bundle size relative to SVG-based libraries
  • Large catalog of built-in chart types
  • Canvas, SVG, and WebGL rendering
  • Built-in data zoom and brushing interactions
  • Geographic and geo-map visualizations
  • Large-dataset performance optimizations
  • Theming and responsive layout support

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