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admiraldiscovery vs ggsurvfit

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

admiraldiscovery vs ggsurvfit: at a glance

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

What is admiraldiscovery?

A lookup index for the admiral family that grows one therapeutic area at a time.

admiraldiscovery is a search aid rather than a code package: it maps ADaM variables to the {admiral} functions that derive them, alongside a listing of conference presentations. Its releases are catalogue updates, not functional changes. The most recent adds variables from {admiralneuro} plus AAGE and NFRLT.

Read the full admiraldiscovery 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 →

admiraldiscovery vs ggsurvfit: editorial side-by-side

A0.0

A lookup index for the admiral family that grows one therapeutic area at a time.

◆ Current state

admiraldiscovery is a search aid rather than a code package: it maps ADaM variables to the {admiral} functions that derive them, alongside a listing of conference presentations. Its releases are catalogue updates, not functional changes. The most recent adds variables from {admiralneuro} plus AAGE and NFRLT.

◆ Where it's heading

Each release absorbs the variable listing of whichever therapeutic-area extension shipped most recently — paediatrics in 0.3.0, metabolic in 0.4.0, neuro in 0.6.0. The package is effectively an index trailing the family's expansion, so its cadence is a proxy for how fast new admiral extensions appear.

◆ Prediction

The next release will most likely fold in variables from whichever admiral therapeutic-area package lands next, together with a refreshed presentation list.

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 admiraldiscovery 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 admiraldiscovery or ggsurvfit.

See all admiraldiscovery alternatives → · See all ggsurvfit alternatives →

Recent activity from admiraldiscovery 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. 1mo agoadmiraldiscoveryNeuro variables, AAGE and NFRLT added to the variable index
  3. 7mo agoadmiraldiscoveryPresentation and paper listings refreshed
  4. 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
  5. 1y agoadmiraldiscoveryMetabolic package variables added to the listing
  6. 1y agoadmiraldiscoveryPaediatrics package variables added to the listing
  7. 2y agoadmiraldiscoveryVariable listing corrections
  8. 2y agoadmiraldiscoveryIndex tracks latest family releases; presenters named
  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 admiraldiscovery 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 admiraldiscovery 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 admiraldiscovery?

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