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Comparison · Analytics

admiralonco vs ggsurvfit

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

admiralonco vs ggsurvfit: at a glance

Featureadmiraloncoggsurvfit
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesoncology, adam, pharmaverse, deprecationsurvival-analysis, ggplot2, competing-risks, clinical-plots
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

What is admiralonco?

The oncology ADaM helper is dissolving into admiral core, one deprecation at a time.

admiralonco is the oncology companion to admiral, and it ships response-criteria recipes rather than code: RECIST, iRECIST, IMWG, GCIG and PCWG3 each arrive as a vignette plus an ADaM template. Cadence is one or two releases a year, each adding a criteria vignette. The 1.4.0 release began deprecating most of the package's own exported functions in favour of generic admiral equivalents.

Read the full admiralonco trajectory →

What is ggsurvfit?

ggsurvfit is in correctness-and-compatibility mode, not feature mode.

The package draws survival and cumulative-incidence curves on a ggplot2 grammar, with risk tables, p-values and quantile annotations. Recent releases are entirely fixes and upstream tracking: ggplot2 v4.0.0 compatibility in 2025, and a 2026 patch correcting a Gray-test p-value that could be reported for the wrong competing event.

Read the full ggsurvfit trajectory →

admiralonco vs ggsurvfit: editorial side-by-side

A
admiralonco
ANALYTICS
0.0

The oncology ADaM helper is dissolving into admiral core, one deprecation at a time.

◆ Current state

admiralonco is the oncology companion to admiral, and it ships response-criteria recipes rather than code: RECIST, iRECIST, IMWG, GCIG and PCWG3 each arrive as a vignette plus an ADaM template. Cadence is one or two releases a year, each adding a criteria vignette. The 1.4.0 release began deprecating most of the package's own exported functions in favour of generic admiral equivalents.

◆ Where it's heading

The package is converging on a documentation-and-templates model: reusable derivation logic moves upstream into admiral, and admiralonco keeps only the oncology-specific know-how. Every release since 1.0.0 has added a criteria vignette rather than new exported functions, and 1.4.1 extends that by making the template set browsable from the Get Started menu. The surface users program against is shrinking while the guidance they read is growing.

◆ Prediction

Expect the deprecation cycle started in 1.4.0 to advance through its warning and error phases across the next one or two releases, with new work arriving as another response-criteria vignette rather than new functions.

G
ggsurvfit
ANALYTICS
2.5

ggsurvfit is in correctness-and-compatibility mode, not feature mode.

◆ Current state

The package draws survival and cumulative-incidence curves on a ggplot2 grammar, with risk tables, p-values and quantile annotations. Recent releases are entirely fixes and upstream tracking: ggplot2 v4.0.0 compatibility in 2025, and a 2026 patch correcting a Gray-test p-value that could be reported for the wrong competing event.

◆ Where it's heading

The feature surface settled around 1.0.0, when risk-table alignment was exported and colour and linetype defaults became configurable. Since then the work is keeping pace with survival, ggplot2 and tidycmprsk changes, and closing cases where the plotted curve and the annotation disagreed — the p-value matched by position rather than name, confidence limits swapped for multi-state models, quantiles read off a plateau.

◆ Prediction

Expect the next release to track upstream survival or ggplot2 changes rather than add plotting features; the CDISC censoring convention adopted in Surv_CNSR() suggests further alignment with clinical data standards is the likelier direction.

Alternatives to admiralonco and ggsurvfit

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 admiralonco or ggsurvfit.

See all admiralonco alternatives → · See all ggsurvfit alternatives →

Recent activity from admiralonco and ggsurvfit

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

  1. 20d agoggsurvfitGray-test p-values matched to the plotted outcome by name
  2. 2mo agoadmiraloncoTemplate explorer vignette added to Get Started
  3. 6mo agoadmiraloncoPSA endpoints land as function deprecation begins
  4. 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
  5. 11mo agoadmiraloncoPCWG3 response criteria vignette added
  6. 1y agoadmiraloncoGCIG response criteria vignette added
  7. 2y agoadmiraloncoIMWG response criteria vignette added
  8. 2y agoadmiraloncoiRECIST response criteria vignette added
  9. 2y agoggsurvfitNegative follow-up times and a cloglog transformation
  10. 2y agoggsurvfitAesthetic defaults become switchable and alignment is exported
  11. 2y agoggsurvfitConfidence limits corrected for monotonicity-reversing transforms
  12. 3y agoggsurvfitGlue syntax in risk tables and coxph model support

Frequently asked questions

What is the difference between admiralonco and ggsurvfit?

They serve adjacent needs but don't currently overlap on shipped themes. ggsurvfit is currently shipping more aggressively (velocity 2.5 vs 0.0), 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 admiralonco better than ggsurvfit?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggsurvfit is currently shipping more aggressively (velocity 2.5 vs 0.0), 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 admiralonco?

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

What are the best alternatives to ggsurvfit?

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