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Head-to-head · Data Visualization Software

Apache Superset vs Plotly

  • Updated Oct 2026
  • Both researched from official sources
  • 3 checks side by side
Higher score Apache Superset #4 in Data Visualization Software 8.8/10 Free plan Free plan✓ 0 of 2 features Try Apache Superset
Plotly #6 in Data Visualization Software 8.6/10 Free plan Free plan✓ 2 of 2 features Visit Plotly

Apache Superset leads on 0 checks, Plotly on 0, and 3 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreApache Superset · 8.8/10
  • Free planboth
  • Most featuresPlotly · 2 of 2

Apache Superset scores higher on our rubric for data visualization software: 8.8 against 8.6 out of 10; our editors rank them #4 and #6.

Apache Superset is the better fit for self-hosted teams wanting broad BI features. Plotly is the better fit for developers building interactive visual apps.

  • Apache Superset fits best

    Self-hosted teams wanting broad BI features

  • Plotly fits best

    Developers building interactive visual apps

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Side by side

Feature Apache Superset 8.8/10 Visit ↗ Plotly 8.6/10 Visit ↗
At a glance
Editor score 8.8 8.6
Ranking #4 in Data Visualization Software #6 in Data Visualization Software
Best for Self-hosted teams wanting broad BI features Developers building interactive visual apps
Pricing model Free Free plan + paid
Starting price Free plan $290/seat/yr
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Cloud, Self-hosted, Desktop
Platforms Web, Linux, macOS Web, Windows, macOS
Support Community, Docs Tickets, Docs, Email
Compliance SSO/SAML, 2FA SOC 2, ISO 27001, SSO/SAML
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Apache Superset 0/2 · Plotly 2/2
Scheduled refresh Not checked yet ✓ (best)
Embedded dashboards Not checked yet ✓ (best)
Specs
Dashboard type Not checked yet Interactive
Data sources Not checked yet Snowflake, Databricks, BigQuery, PostgreSQL, MySQL, SQL Server, MotherDuck, Oracle, CSV, and anything Python can connect to
Viewer limit Not checked yet 10 viewers
Platform Not checked yet Web_and_desktop
Our review
Pros
  • 40+ visualization types plus no-code chart building and SQL analysis
  • Row-level security, alerts, scheduled reports, and embedded dashboards
  • Open-source deployment with REST API, extensions, and database connectivity
  • 70+ chart and trace types with rich interactive controls
  • Open-source libraries plus Dash and self-hosted deployment
  • Broad notebook, cloud, database, and app-platform integrations
Cons
  • Self-hosted deployment requires organizations to operate the environment
  • Platform coverage centers on web, API, and self-hosted use
  • Its breadth may exceed the needs of teams seeking a narrow visualization tool
  • The suite spans several products rather than one packaged application
  • Enterprise governance is narrower than dedicated BI platforms
  • Plotly-branded apps are part of the Free plan
Our verdict

Apache Superset is an open-source business intelligence and data exploration platform for analysts, engineers, and data teams. It connects to SQL-based databases and cloud data engines, combining a no-code visualization builder with a SQL…

Read the review →

Plotly is a suite of open-source graphing libraries and data application tools for developers, data scientists, engineers, analysts, researchers, and organizations building interactive visualizations. Its scope includes Python and…

Read the review →
  1. Apache SupersetData Visualization Software 8.8Free plan
  2. PlotlyData Visualization Software 8.6Free plan

Strengths and trade-offs

  • Apache Superset — where it wins

    • 40+ visualization types plus no-code chart building and SQL analysis
    • Row-level security, alerts, scheduled reports, and embedded dashboards
    • Open-source deployment with REST API, extensions, and database connectivity

    Where it doesn't

    • Self-hosted deployment requires organizations to operate the environment
    • Platform coverage centers on web, API, and self-hosted use
    • Its breadth may exceed the needs of teams seeking a narrow visualization tool

  • Plotly — where it wins

    • 70+ chart and trace types with rich interactive controls
    • Open-source libraries plus Dash and self-hosted deployment
    • Broad notebook, cloud, database, and app-platform integrations

    Where it doesn't

    • The suite spans several products rather than one packaged application
    • Enterprise governance is narrower than dedicated BI platforms
    • Plotly-branded apps are part of the Free plan

More comparisons

All data visualization software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update