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Apache ECharts

Updated: Sep 29, 2026

An open-source JavaScript visualization library for building interactive, high-performance charts in the browser with declarative configuration and realtime data streaming

Apache ECharts

About Apache ECharts

Overview Apache ECharts is an open-source JavaScript visualization library for building interactive charts and graphs in web browsers. It solves the challenge of creating complex, high-performance data visualizations without requiring deep expertise in graphics or rendering technologies. Developers and data analysts use ECharts to turn raw datasets into meaningful charts for dashboards, reports, and analytical tools. Unlike lightweight charting utilities, ECharts ships with over 20 built-in chart types, a dozen components, and a declarative framework that lets users describe what they want to see rather than how to draw it. Key Benefits Renders up to 10 million data points in realtime using progressive rendering and stream loading. Ships with more than 20 chart types and a dozen components that can be arbitrarily combined. Supports data transforms including filtering, clustering, and regression for multi-dimensional analysis. Provides automatic chart descriptions and decal patterns to assist users with disabilities. Switches between Canvas and SVG rendering modes without code changes. Backed by the Apache Software Foundation with an active open-source community and third-party extensions. How It Works You install ECharts via npm or download the bundle, then call the initialization function with a DOM container element and a configuration object. The configuration object describes the chart type, data series, axes, and visual properties in a plain JSON structure — ECharts handles the rendering, animation, and interactivity automatically. For data-heavy scenarios, you enable stream loading to feed data incrementally, and the progressive rendering engine draws visible data first while background threads continue processing. Use Cases Front-end developers building dashboards and analytics panels for SaaS products. Data scientists embedding interactive visualizations in Jupyter notebooks and research reports. Enterprise engineering teams creating monitoring and business intelligence interfaces. Open-source project maintainers adding chart components to documentation and project websites. Accessibility engineers auditing chart readability and adding screen-reader-compatible descriptions. Why Choose This Product Apache ECharts is best suited for developers who need a feature-rich, high-performance charting library without licensing costs or vendor lock-in. The library requires JavaScript to function and is designed for browser environments only, so it is not a fit for native mobile or desktop applications.

Apache ECharts Pros & Cons

Strengths
  • 20+ chart types out of the box
  • Canvas and SVG dual rendering engine
  • Handles 10 million data points in realtime
  • Built-in data transforms for analysis
  • Accessibility features built in

Key Features

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20+ Chart Types

Line, bar, pie, scatter, radar, heatmap, treemap, graph, boxplot, and more can be arbitrarily combined in a single chart.

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Realtime Large Data

ECharts switches between Canvas and SVG rendering and supports progressive rendering with stream loading for real-time display of 10 million data points.

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Data Transforms

Built-in dataset management supports data transforms such as filtering, clustering, and regression analysis.

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Responsive Design

Charts respond to viewport changes with flexible layouts and customizable styles.

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Accessibility Support

Chart descriptions and decal patterns are automatically generated for screen readers.

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Open Source Community

The project is governed by the Apache Software Foundation with an active community contributing third-party extensions.

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Declarative API

Charts and visual properties are defined declaratively via a plain JSON configuration object.

Apache ECharts Pricing

Free
Free

Pricing extracted from the product website and may change. Check the source for current details.