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Plotly vs rstatix

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

Plotly vs rstatix: at a glance

FeaturePlotlyrstatix
SectorAnalyticsAnalytics
Velocity score6.32.5
Sparks · 30d10
Top themesai-app-building, plotly-cloud, metered-billing, custom-domainsstatistics, r, effect sizes, confidence intervals
Last editorial update7h ago3d ago
WebsiteVisit →Visit →

What is Plotly?

Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.

Plotly ships on two tracks. Plotly Studio, the desktop AI app-builder, releases every one to two weeks and has spent v0.0.80 through v0.0.86 on credential handling, reasoning transparency, personalization and now the reliability of the agent session engine itself. Plotly Cloud is the louder track: since late May it has added viewer-seat pricing, domain verification, per-app compute modes with credit-metered billing, and customer-owned domains with managed TLS.

Read the full Plotly trajectory →

What is rstatix?

rstatix hit 1.0 by unrounding every p-value it has ever returned

rstatix is the pipe-friendly test wrapper behind most ggpubr annotation workflows — t-tests, Wilcoxon, ANOVA, post-hoc comparisons, effect sizes, all returning tidy data frames. After three quiet years of CRAN-compat patching, it shipped 1.0.0 and 1.1.0 three weeks apart in mid-2026. Both releases push in the same direction: interval estimates and full-precision output for numbers the package previously rounded or omitted.

Read the full rstatix trajectory →

Plotly vs rstatix: editorial side-by-side

P
Plotly
ANALYTICS
6.3

Plotly is turning its cloud into a metered compute platform with an enterprise on-ramp.

◆ Current state

Plotly ships on two tracks. Plotly Studio, the desktop AI app-builder, releases every one to two weeks and has spent v0.0.80 through v0.0.86 on credential handling, reasoning transparency, personalization and now the reliability of the agent session engine itself. Plotly Cloud is the louder track: since late May it has added viewer-seat pricing, domain verification, per-app compute modes with credit-metered billing, and customer-owned domains with managed TLS.

◆ Where it's heading

The Cloud releases are assembling the standard pieces of a hosting business in order — identity first (domain verification, explicitly framed as the step before SSO), then billing (viewer seats, then metered compute credits), and now production-grade serving (custom domains, automatic certificate renewal). Studio is being hardened as the authoring front end that feeds it: Universal Deployment pushed beyond Dash apps, credentials saved once and reused, a Winget channel to widen Windows installs, and in v0.0.86 a rebuilt session engine plus automatic retries so agent runs survive expired tokens. The two tracks converge on one funnel — author in Studio, deploy to Cloud, pay by compute consumed.

◆ Prediction

The Domain Verification entry names SSO as the next step and places it in the Enterprise tier, so single sign-on is the most likely Cloud release next. Studio should hold its one-to-two-week cadence, with the newly added app thumbnails pointing toward more work on browsing and organizing generated apps.

R
rstatix
ANALYTICS
2.5

rstatix hit 1.0 by unrounding every p-value it has ever returned

◆ Current state

rstatix is the pipe-friendly test wrapper behind most ggpubr annotation workflows — t-tests, Wilcoxon, ANOVA, post-hoc comparisons, effect sizes, all returning tidy data frames. After three quiet years of CRAN-compat patching, it shipped 1.0.0 and 1.1.0 three weeks apart in mid-2026. Both releases push in the same direction: interval estimates and full-precision output for numbers the package previously rounded or omitted.

◆ Where it's heading

The work is about matching what dedicated effect-size packages give you without taking on their dependencies. Confidence intervals for partial eta squared and for Cohen's d are both computed in base R from noncentral distributions and both check against effectsize; compact letter displays are computed in base R against multcompView. The pattern is deliberate — reproduce the reference implementation, add no imports. Alongside that, the package has started correcting statistical hygiene it got wrong for years, most visibly by no longer rounding p-values before adjusting them.

◆ Prediction

The analytic-interval machinery now exists for eta squared and Cohen's d; the untouched effect sizes in the package — eta squared for nonparametric tests, Cramer's V, rank-biserial correlation — are the obvious next targets for the same base-R noncentral treatment.

Alternatives to Plotly and rstatix

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 rstatix.

See all Plotly alternatives → · See all rstatix alternatives →

Recent activity from Plotly and rstatix

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

  1. 14d agoPlotlyCustom Domains in Plotly Cloud
  2. 24d agoPlotlyPlotly Studio v0.0.85: Breadcrumbs & minor bug fixes
  3. 26d agorstatixrstatix 1.1.0 gives Cohen's d a deterministic confidence interval
  4. 1mo agoPlotlyPlotly Studio v0.0.84: Faster AI, Saved Credentials, and Winget Support
  5. 1mo agoPlotlyCompute Modes and App Sizing in Plotly Cloud
  6. 1mo agoPlotlyPlotly Studio 0.0.83: Dash Update and macOS Fixes
  7. 1mo agorstatixrstatix 1.0.0 stops rounding p-values before adjusting them
  8. 2mo agoPlotlyPlotly Studio v0.0.82: Override for credential redaction, stability fixes
  9. 10mo agorstatixrstatix 0.7.3
  10. 3y agorstatixrstatix 0.7.2
  11. 3y agorstatixrstatix 0.7.1
  12. 5y agorstatixrstatix 0.7.0

Frequently asked questions

What is the difference between Plotly and rstatix?

They serve adjacent needs but don't currently overlap on shipped themes. Plotly is currently shipping more aggressively (velocity 6.3 vs 2.5), with 1 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 rstatix?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Plotly is currently shipping more aggressively (velocity 6.3 vs 2.5), with 1 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 rstatix?

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