Apache ECharts Review: The Free Alternative to Highcharts
What it is: Apache ECharts is a powerful open-source JavaScript visualization library, originally built at Baidu and now a top-level Apache Software Foundation project. It delivers a huge range of chart types, polished animations, and serious large-dataset performance — completely free, including for commercial use.
Quick answer: Apache ECharts is the best free JavaScript charting library for feature depth: 20+ chart types, maps, 3D, and smooth handling of datasets into the millions of points — under the permissive Apache 2.0 license, so commercial use costs nothing. Its trade-offs are a large bundle and documentation that's thinner than Highcharts'. For most products, it's the default pick before paying for anything.
Is Apache ECharts Really Free for Commercial Use?
Yes, fully. ECharts is licensed under Apache 2.0, one of the most permissive open-source licenses: you can use, modify, embed, and redistribute it in commercial products with no fees, no per-developer licenses, and no copyleft obligations beyond keeping the license notice. This is the sharpest contrast with Highcharts, which requires a paid license (~$590/developer/year) for any commercial use.
How Does ECharts Perform with Large Datasets?
Better than any comparable high-level library. ECharts offers canvas rendering for raw speed, progressive (chunked) rendering so huge series draw without freezing the page, and an appendData API for streaming data in incrementally — demos render 1–10 million points interactively. SVG rendering is available when you need crisp export or DOM-level styling. If your dashboard chokes in Chart.js at 50k points, ECharts is the usual fix.
What It Does Best
Feature completeness. 20+ chart types out of the box. 3D charts, geographic maps, network graphs, sankey diagrams, timelines — everything included, no paid add-on modules.
Beautiful animations. Smooth transitions and interactions. Charts look modern without extra styling.
Performance. Canvas and SVG renderers, progressive rendering, and data streaming for millions of points.
Key Features
20+ chart types: Line, bar, scatter, pie, radar, heatmap, tree, graph, sankey, 3D, maps
Canvas/SVG rendering: Choose performance vs crispness per chart
Rich interactions: Tooltips, zooming, brushing, selection, data aggregation
Theme system: Built-in themes plus a visual theme builder
Large dataset support: Progressive rendering and appendData streaming for millions of points
Dataset + transforms: Declarative data pipelines (filter, sort, aggregate) inside chart config
Pricing
Free. Apache 2.0 license — no cost for personal, internal, or commercial use, ever. There is no paid tier; support comes from docs, GitHub issues, and the community rather than a vendor SLA.
When to Use It
✅ Need rich, complex dashboards without license fees
✅ Want beautiful defaults
✅ Large numbers of data points (100k to millions)
✅ 3D, geographic, or graph/sankey visualizations
✅ Free alternative to Highcharts for commercial products
When NOT to Use It
❌ Simple charts only (Chart.js is lighter)
❌ Need the smallest bundle size (ECharts is large, though tree-shakable via modular imports)
❌ Need vendor support and SLAs (Highcharts sells that)
❌ Strict accessibility requirements (Highcharts' a11y module is stronger)
❌ Fully bespoke visual forms (that's D3 territory)
Common Use Cases
Business dashboards: Rich KPI visualizations with multiple chart types
Geographic visualization: Interactive maps with data overlays
Network graphs: Relationship diagrams, org charts, dependency graphs
Flow diagrams: Built-in sankey series — see our guide to building sankey diagrams in JavaScript
Data exploration: Large dataset visualization with zoom and filter
3D visualizations: Three-dimensional bar, scatter, surface plots
ECharts vs Alternatives
vs Highcharts: The licensing difference decides it for most teams — ECharts is free under Apache 2.0 for any use, Highcharts costs ~$590/developer/year commercially. Feature breadth is comparable; Highcharts wins on documentation quality, accessibility tooling, and paid support; ECharts wins on big-data rendering and price.
vs Chart.js: ECharts has far more chart types and much better large-dataset performance; Chart.js is simpler to learn and a fraction of the bundle size. Basic dashboards → Chart.js; anything ambitious → ECharts.
vs D3.js: ECharts is configuration ("give me a sankey chart"); D3 is construction (build the sankey from primitives). ECharts gets you 95% of common charts in minutes; D3 exists for the last 5% of fully custom work.
Unique Strengths
Licensing: Apache 2.0 — the most complete charting feature set you can ship commercially for free
Performance: Handles millions of data points via progressive rendering and streaming
Visual polish: Beautiful animations and transitions by default
Apache backing: Vendor-neutral ASF governance, active development, growing global ecosystem
Deciding which chart type fits your data in the first place? Start with our chart selection guide.
Bottom line: Highcharts-class features without the license fee. Apache 2.0 makes ECharts the default choice for commercial dashboards on a budget, and its progressive rendering makes it the strongest high-level library for genuinely big datasets. Pay for Highcharts only if you need its accessibility module or vendor support.