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admiraldev vs ggsurvfit

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

admiraldev vs ggsurvfit: at a glance

Featureadmiraldevggsurvfit
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themespharmaverse, developer-tooling, assertions, roxygensurvival-analysis, ggplot2, competing-risks, clinical-plots
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is admiraldev?

The admiral family's toolbox package keeps absorbing infrastructure the main package used to carry.

admiraldev is the developer-facing utility layer beneath the {admiral} clinical-programming family: assertions, custom roxygen roclets, linter configuration and deprecation helpers. Recent releases have pulled shared machinery out of {admiral} itself, most recently the roxygen helper functions in 1.5.0. Its users are other package authors, not clinical programmers.

Read the full admiraldev 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 →

admiraldev vs ggsurvfit: editorial side-by-side

A
admiraldev
ANALYTICS
0.0

The admiral family's toolbox package keeps absorbing infrastructure the main package used to carry.

◆ Current state

admiraldev is the developer-facing utility layer beneath the {admiral} clinical-programming family: assertions, custom roxygen roclets, linter configuration and deprecation helpers. Recent releases have pulled shared machinery out of {admiral} itself, most recently the roxygen helper functions in 1.5.0. Its users are other package authors, not clinical programmers.

◆ Where it's heading

The arc is consolidation — each release moves one more piece of cross-package tooling into a single place and tightens the standards it enforces. 1.4.0 added an admiral_linters() configuration mandating cli::cli_abort() over stop() across the family, and 1.1.0 had already migrated the assertion layer to {cli} messaging. Breaking changes are routine here and are managed through an explicit four-phase deprecation process.

◆ Prediction

Expect further extraction of shared helpers from {admiral} into this package, and continued roxygen2 8.0.0 follow-through in the documentation tooling.

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 admiraldev 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 admiraldev or ggsurvfit.

See all admiraldev alternatives → · See all ggsurvfit alternatives →

Recent activity from admiraldev 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 agoadmiraldevRoxygen helpers move out of admiral; date validation gains a real-date check
  3. 2mo agoadmiraldevMaintainer handover to Edoardo Mancini
  4. 7mo agoadmiraldevFamily-wide linter config lands; custom join wrappers removed
  5. 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
  6. 1y agoadmiraldevrdx_roclet extends roxygen with permitted/default and example tags
  7. 1y agoadmiraldevdeprecate_inform() wrapper and more flexible assertion arguments
  8. 2y agoadmiraldevError and warning messaging migrates to cli
  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 admiraldev 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 admiraldev 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 admiraldev?

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