D3.js vs ECharts

D3.js

Data-Driven Documents — the gold standard for web data visualization

ECharts

Apache's powerful charting and visualization library

Feature D3.js ECharts
Category Embeddable Embeddable
Sub-category Data Visualization Data Visualization
Maturity mature mature
Complexity expert intermediate
Performance tier medium medium
License ISC Apache-2.0
License type permissive permissive
Pricing fully free fully free
GitHub stars 110.0K 62.0K
Contributors 100 300
Commit frequency weekly weekly
Plugin ecosystem none none
Docs quality excellent good
Backing org Mike Bostock Apache Foundation
Funding model community foundation
Min RAM 32 MB 32 MB
Min CPU cores 1 1
Scaling pattern single_node single_node
Self-hostable Yes Yes
K8s native No No
Offline capable No No
Vendor lock-in none none
Languages JavaScript TypeScript
API type SDK SDK
Protocols HTTP HTTP
Deployment npm, cdn npm, cdn
SDK languages
Team size fit solo, small, medium solo, small, medium
First release 2011 2013
Latest version

When to use D3.js

  • Custom interactive data visualizations
  • Geographic data maps
  • Network/graph visualizations
  • Scientific data plotting
  • Custom dashboard components

When to use ECharts

  • Enterprise dashboards with rich interactions
  • Geographic heat maps
  • 3D data visualization
  • Large dataset rendering with progressive loading

D3.js anti-patterns

  • Steep learning curve
  • Verbose for simple charts
  • No built-in chart types — build everything
  • Requires DOM understanding

ECharts anti-patterns

  • Large bundle size
  • Chinese-origin documentation gaps
  • Complex config for advanced charts
Full D3.js profile → Full ECharts profile → All comparisons