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Head-to-head · Data Visualization Libraries Software

Plotly vs Apache ECharts

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Plotly #1 in Data Visualization Libraries Software 9.3/10 Free plan Free plan Visit Plotly
Apache ECharts #3 in Data Visualization Libraries Software 9.0/10 Free plan Free plan Visit Apache ECharts

Plotly leads on 0 checks, Apache ECharts on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scorePlotly · 9.3/10
  • Free planboth

Plotly scores higher on our rubric for data visualization libraries software: 9.3 against 9.0 out of 10; our editors rank them #1 and #3.

Plotly is the better fit for teams needing versatile interactive charts and maps. Apache ECharts is the better fit for free, flexible JavaScript visualizations.

  • Plotly fits best

    Teams needing versatile interactive charts and maps

  • Apache ECharts fits best

    Free, flexible JavaScript visualizations

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Side by side

Feature Plotly 9.3/10 Visit ↗ Apache ECharts 9.0/10 Visit ↗
At a glance
Editor score 9.3 9.0
Ranking #1 in Data Visualization Libraries Software #3 in Data Visualization Libraries Software
Best for Teams needing versatile interactive charts and maps Free, flexible JavaScript visualizations
Pricing model Free plan + paid Free
Starting price $290/seat/yr Free plan
Free plan ✓ ✓
Free trial — —
Deployment Cloud, Self-hosted, Desktop Cloud
Platforms Web, Windows, macOS Web
Support Tickets, Docs, Email Docs, Community
Built for Solo, Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Specs
Supported frameworks Not checked yet JavaScript; usable with web frameworks
Chart types Not checked yet Line, bar, pie, scatter, map
Rendering modes Not checked yet Not checked yet
Interactive features Not checked yet Tooltips, zooming, panning, legend interaction
Export formats Not checked yet PNG, JPEG, SVG
License model Not checked yet Open-source
Our review
Pros
  • 70+ chart and trace types with rich interactive controls
  • Open-source libraries plus cloud and self-hosted deployment
  • Connects with notebooks, databases, Dash, and Streamlit
  • Offers line, bar, pie, scatter, and map charts.
  • Supports Canvas and SVG rendering with responsive resizing.
  • Includes tooltips, zooming, panning, and PNG, JPEG, or SVG export.
Cons
  • The suite spans several products rather than one packaged application
  • Library-first workflows require Python or JavaScript development
  • Pro pricing is per creator seat, with viewers limited to 10
  • Focused on web applications rather than a range of deployment platforms.
  • Requires JavaScript configuration and developer involvement.
  • Support is centered on documentation and community channels.
Our verdict

Plotly is an open-source suite for building interactive charts, maps, scientific visualizations, financial graphics, dashboards, and data applications. Its Python and JavaScript graphing libraries target developers, data scientists,…

Read the review →

Apache ECharts is an open-source JavaScript charting library for developers building interactive visualizations in web applications. Its chart options include line, bar, pie, scatter, and map charts, making it suitable for teams that want…

Read the review →
  1. PlotlyData Visualization Libraries Software 9.3Free plan
  2. Apache EChartsData Visualization Libraries Software 9.0Free plan

Strengths and trade-offs

  • Plotly — where it wins

    • 70+ chart and trace types with rich interactive controls
    • Open-source libraries plus cloud and self-hosted deployment
    • Connects with notebooks, databases, Dash, and Streamlit

    Where it doesn't

    • The suite spans several products rather than one packaged application
    • Library-first workflows require Python or JavaScript development
    • Pro pricing is per creator seat, with viewers limited to 10

  • Apache ECharts — where it wins

    • Offers line, bar, pie, scatter, and map charts.
    • Supports Canvas and SVG rendering with responsive resizing.
    • Includes tooltips, zooming, panning, and PNG, JPEG, or SVG export.

    Where it doesn't

    • Focused on web applications rather than a range of deployment platforms.
    • Requires JavaScript configuration and developer involvement.
    • Support is centered on documentation and community channels.

More comparisons

All data visualization libraries software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update