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admiral vs ggsurvfit

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

admiral vs ggsurvfit: at a glance

Featureadmiralggsurvfit
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themespharmaverse, adam, clinical-programming, documentationsurvival-analysis, ggplot2, competing-risks, clinical-plots
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is admiral?

admiral spent its last cycle making complex derivations documentable rather than adding more of them.

admiral is the pharmaverse's ADaM dataset derivation toolkit — a large library of derive_* functions for building analysis datasets from SDTM. The 1.2.0 and 1.3.0 releases added new derivation functions and then a substantial documentation overhaul: argument defaults now appear in the help text and complex functions carry titled, described examples. 1.3.1 was a hotfix for links and the search index.

Read the full admiral 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 →

admiral vs ggsurvfit: editorial side-by-side

A
admiral
ANALYTICS
0.0

admiral spent its last cycle making complex derivations documentable rather than adding more of them.

◆ Current state

admiral is the pharmaverse's ADaM dataset derivation toolkit — a large library of derive_* functions for building analysis datasets from SDTM. The 1.2.0 and 1.3.0 releases added new derivation functions and then a substantial documentation overhaul: argument defaults now appear in the help text and complex functions carry titled, described examples. 1.3.1 was a hotfix for links and the search index.

◆ Where it's heading

The direction is toward usability of an already-large API rather than growth of it. 1.1.0 rewrote error messaging to be user-facing, 1.2.0 added flexibility to duplicate handling across several functions via check_type, and 1.3.0 invested in the structured-example documentation that the rdx_roclet work in {admiraldev} made possible. The two packages move together.

◆ Prediction

With the documentation infrastructure in place, expect the remaining complex derivation functions to be brought up to the structured-example standard, and new therapeutic-area work to keep landing in the extension packages rather than the core.

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 admiral 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 admiral or ggsurvfit.

See all admiral alternatives → · See all ggsurvfit alternatives →

Recent activity from admiral 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. 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
  3. 1y agoadmiralSearch index and footer link fixes
  4. 1y agoadmiralDocumentation overhaul: defaults shown, complex functions get structured examples
  5. 1y agoadmiralNew derivations for categorical pairs, criterion flags and range transforms
  6. 2y agoadmiralUser-facing error messages and merge helpers exposed
  7. 2y agoggsurvfitNegative follow-up times and a cloglog transformation
  8. 2y agoggsurvfitAesthetic defaults become switchable and alignment is exported
  9. 2y agoggsurvfitConfidence limits corrected for monotonicity-reversing transforms
  10. 3y agoggsurvfitGlue syntax in risk tables and coxph model support

Frequently asked questions

What is the difference between admiral 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 admiral 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 admiral?

Top admiral alternatives in Analytics are ranked by recent ship velocity. Browse the "admiral alternatives" section above for the current picks, or visit /alternatives/admiral 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.