Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Head-to-head · Data Visualization Software

Apache Superset vs Matplotlib

  • Updated Oct 2026
  • Both researched from official sources
  • 2 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
Matplotlib #8 in Data Visualization Software 8.4/10 Free plan Free plan✓ 1 of 2 features Visit Matplotlib

Apache Superset leads on 0 checks, Matplotlib on 0, and 2 are even. Who comes out ahead on the 2 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 featuresMatplotlib · 1 of 2

Apache Superset scores higher on our rubric for data visualization software: 8.8 against 8.4 out of 10; our editors rank them #4 and #8.

Apache Superset is the better fit for self-hosted teams wanting broad BI features. Matplotlib is the better fit for python users creating publication-quality plots.

  • Apache Superset fits best

    Self-hosted teams wanting broad BI features

  • Matplotlib fits best

    Python users creating publication-quality plots

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Apache Superset 8.8/10 Visit ↗ Matplotlib 8.4/10 Visit ↗
At a glance
Editor score 8.8 8.4
Ranking #4 in Data Visualization Software #8 in Data Visualization Software
Best for Self-hosted teams wanting broad BI features Python users creating publication-quality plots
Pricing model Free Free
Starting price Free plan Free plan
Free plan ✓ ✓
Free trial — —
Deployment Self-hosted Self-hosted, Desktop
Platforms Web, Linux, macOS Web, Windows, macOS, Linux
Support Community, Docs Community, Docs
Built for Small business, Mid-market, Enterprise Solo, Small business, Mid-market, Enterprise
Features Apache Superset 0/2 · Matplotlib 1/2
Scheduled refresh Not checked yet Not checked yet
Embedded dashboards Not checked yet ✓ (best)
Specs
Dashboard type Not checked yet Both
Data sources Not checked yet Python lists, NumPy arrays
Viewer limit Not checked yet Not checked yet
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
  • Publication-quality plots with extensive visual customization
  • Supports static, animated, and interactive visualizations
  • Exports to PNG, SVG, PDF, and PS formats
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
  • Requires Python-based plotting rather than a no-code workflow
  • Not positioned as a hosted dashboard service
  • No published scheduling or collaboration features
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 →

Matplotlib is an open-source Python library for creating static, animated, and interactive visualizations. It is aimed at Python developers, researchers, analysts, and scientific computing teams that need programmable charting and…

Read the review →
  1. Apache SupersetData Visualization Software 8.8Free plan
  2. MatplotlibData Visualization Software 8.4Free 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

  • Matplotlib — where it wins

    • Publication-quality plots with extensive visual customization
    • Supports static, animated, and interactive visualizations
    • Exports to PNG, SVG, PDF, and PS formats

    Where it doesn't

    • Requires Python-based plotting rather than a no-code workflow
    • Not positioned as a hosted dashboard service
    • No published scheduling or collaboration features

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