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Plotly vs Apache Superset

A side-by-side editorial comparison of Plotly and Apache Superset — release velocity, themes, recent moves, and the top alternatives to consider.

Plotly vs Apache Superset: at a glance

FeaturePlotlyApache Superset
SectorAnalyticsAnalytics
Velocity score3.85.0
Sparks · 30d00
Top themesenterprise-hardening, ai-reliability, desktop-app, dash-integrationbusiness-intelligence, kubernetes, packaging, duplicate-record
Last editorial update1mo ago3d ago
WebsiteVisit →Visit →

What is Plotly?

Pre-1.0 desktop AI app builder grinding through enterprise reliability work, not new directions.

Plotly Studio is a pre-1.0 desktop AI app builder shipping near-weekly point releases. Recent work concentrates on AI retry logic, OS-specific startup reliability for Windows and macOS, and polishing the Dash Enterprise integration. No new product surfaces are emerging — every release chips at edge cases.

Read the full Plotly trajectory →

What is Apache Superset?

Duplicate Apache Superset row — same Helm-chart packaging feed, no distinct product signal

This row mirrors the separate 'superset' product entry: the feed carries Helm-chart version bumps and Apache release-vote threads rather than application changelog. The two rows track the same upstream project and the same releases under different slugs.

Read the full Apache Superset trajectory →

Plotly vs Apache Superset: editorial side-by-side

P
Plotly
ANALYTICS
3.8

Pre-1.0 desktop AI app builder grinding through enterprise reliability work, not new directions.

◆ Current state

Plotly Studio is a pre-1.0 desktop AI app builder shipping near-weekly point releases. Recent work concentrates on AI retry logic, OS-specific startup reliability for Windows and macOS, and polishing the Dash Enterprise integration. No new product surfaces are emerging — every release chips at edge cases.

◆ Where it's heading

The arc is enterprise-hardening, not capability expansion. Streaming for the Dash Enterprise LLM connection, longer cloud publish timeouts, automatic dependency recovery, and CVE patches all signal a team responding to pain from larger customers running the app against corporate networks. Each release reinforces an existing surface rather than opening a new one.

◆ Prediction

Expect a 1.0 release once the long tail of OS startup and AI retry edge cases settles, likely paired with a more deliberate Dash Enterprise integration story. Net-new visualization or agent capabilities are unlikely in the next two to three releases.

Apache Superset logo5.0

Duplicate Apache Superset row — same Helm-chart packaging feed, no distinct product signal

◆ Current state

This row mirrors the separate 'superset' product entry: the feed carries Helm-chart version bumps and Apache release-vote threads rather than application changelog. The two rows track the same upstream project and the same releases under different slugs.

◆ Where it's heading

As with its twin, the visible motion is chart packaging clustering ahead of a 6.1.0 release still in candidate voting. There is no product direction here distinct from the other Superset row.

◆ Prediction

6.1.0 lands once the PMC vote closes, with a matching chart bump; the two duplicate rows should be reconciled to one canonical product.

Alternatives to Plotly and Apache Superset

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Plotly or Apache Superset.

See all Plotly alternatives → · See all Apache Superset alternatives →

Recent activity from Plotly and Apache Superset

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 3d agoApache SupersetHelm chart 0.17.3 (packaging bump)
  2. 4d agoApache SupersetHelm chart 0.17.2 (packaging bump)
  3. 4d agoApache SupersetHelm chart 0.17.1 (packaging bump)
  4. 4d agoApache SupersetHelm chart 0.17.0 (packaging bump)
  5. 10d agoApache SupersetHelm chart 0.16.2 (packaging bump)
  6. 10d agoApache SupersetHelm chart 0.16.1 (packaging bump)
  7. 2mo agoPlotlyPlotly Studio v0.0.73
  8. 2mo agoPlotlyPlotly Studio v0.0.72: General bug fixes
  9. 2mo agoPlotlyv0.0.71: User-controlled app updates and more
  10. 2mo agoPlotlyPlotly Studio v0.0.70: Better user feedback mechanism in error messages and stability improvements
  11. 2mo agoPlotlyPlotly Studio v0.0.69: Reliability improvements
  12. 2mo agoPlotlyPlotly Studio v0.0.68: Enhanced reliability

Frequently asked questions

What is the difference between Plotly and Apache Superset?

They serve adjacent needs but don't currently overlap on shipped themes. Apache Superset is currently shipping more aggressively (velocity 5.0 vs 3.8), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Plotly better than Apache Superset?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apache Superset is currently shipping more aggressively (velocity 5.0 vs 3.8), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to Plotly?

Top Plotly alternatives in Analytics are ranked by recent ship velocity. Browse the "Plotly alternatives" section above for the current picks, or visit /alternatives/plotly for the full list with editorial commentary on each.

What are the best alternatives to Apache Superset?

Top Apache Superset alternatives in Analytics are ranked by recent ship velocity. Browse the "Apache Superset alternatives" section above for the current picks, or visit /alternatives/apache-superset for the full list with editorial commentary on each.