Apache ECharts vs D3.js
Side-by-side comparison of features, pricing, ratings, and alternatives.
Apache ECharts is a powerful, interactive charting and data visualization library for browser. It provides a wide range of chart types, including line, bar, scatter, and more, as well as a variety of customization options to suit different needs.
D3.js is a JavaScript library for producing dynamic, interactive data visualizations in web browsers. Using SVG, Canvas, and HTML, D3.js helps you bring your data to life. With a powerful API and a wide range of built-in features, D3.js makes it easy to create complex, data-driven documents.
- Highly customizable and flexible
- Supports a wide range of chart types and data formats
- Has an extensive API for further customization and integration
- Is open-source and free to use
- Highly customizable and extensible
- Supports a wide range of data formats and visualization types
- Works well with other JavaScript libraries and frameworks
- Large community of developers and users
- Can be complex and difficult to learn for beginners
- May require additional setup and configuration for certain features
- Limited support for older browsers and devices
- Steep learning curve due to complex API and customization options
- Can be slow and resource-intensive for large datasets
- Limited support for older browsers and devices
More alternatives & similar tools
Alternatives to Apache ECharts
View all →Alternatives to D3.js
View all →The Verdict
AI-generated from listing dataBoth D3.js and Apache ECharts are free, open‑source visualization libraries; D3 offers ultimate low‑level control while ECharts provides ready‑made chart types and easier setup.
Key differences
- •API depth: D3 requires building visualizations from primitives; ECharts supplies high‑level chart components.
- •Chart variety: ECharts ships with 20+ chart types out of the box; D3 has none pre‑built, you code them yourself.
- •Language: D3 is pure JavaScript; ECharts is written in TypeScript, which may affect developer preference.
- •Community size: D3 has more GitHub stars (113k vs 66k), indicating a larger user base.
- •3D/GL support: ECharts offers an official GL extension for WebGL‑accelerated 3D plots; D3 lacks built‑in 3D.
Pricing & value
Both are free and open‑source, offering comparable cost‑free value.
Ease of use / learning curve
ECharts provides ready‑made chart types, making it easier for beginners than D3’s low‑level API.
Features & depth
D3’s powerful API and ability to create any SVG/Canvas visualization give it deeper customization potential.
Integrations & ecosystem
D3 explicitly mentions strong compatibility with React, Angular, and other libraries; ECharts notes generic JavaScript framework integration.
Scalability
ECharts can render via Canvas or WebGL (GL extension) for larger datasets; D3 may become slow with large data.
Support
D3 offers GitHub Issues and a Community Forum; ECharts lists Community Support and Documentation, but D3’s larger community suggests broader help.
Security & privacy
Both are self‑hosted, open‑source libraries with no specified proprietary data handling.
Choose Apache ECharts if…
Teams that want quick, feature‑rich charts with minimal coding and optional 3D/WebGL support.
Choose D3.js if…
Developers needing full visual control and willing to invest time learning JavaScript APIs.
Common questions
Is there any cost to use either library?
Both D3.js and Apache ECharts are free and open‑source.
Which library is easier for a beginner to create standard charts?
ECharts provides ready‑made chart types and a higher‑level API, making it easier for beginners than D3.
Can either library handle large datasets efficiently?
ECharts can use Canvas or WebGL (via the GL extension) for better performance on large data; D3 may become slow and resource‑intensive.