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Comparison · Analytics

admiralophtha vs ggsurvfit

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

admiralophtha vs ggsurvfit: at a glance

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

What is admiralophtha?

Ophthalmology ADaM support is migrating its derivations upstream into admiral core.

admiralophtha supplies ophthalmology-specific ADaM templates and vignettes — ADBCVA, ADOE, ADVFQ — on top of admiral. Releases arrive roughly twice a year and are dominated by template and vignette modernisation plus a long, deliberate deprecation of the package's own criterion-flag helper in favour of admiral::derive_vars_crit_flag(). The 1.5.0 release advances that deprecation to its warning phase and adds a template explorer.

Read the full admiralophtha 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 →

admiralophtha vs ggsurvfit: editorial side-by-side

A
admiralophtha
ANALYTICS
0.0

Ophthalmology ADaM support is migrating its derivations upstream into admiral core.

◆ Current state

admiralophtha supplies ophthalmology-specific ADaM templates and vignettes — ADBCVA, ADOE, ADVFQ — on top of admiral. Releases arrive roughly twice a year and are dominated by template and vignette modernisation plus a long, deliberate deprecation of the package's own criterion-flag helper in favour of admiral::derive_vars_crit_flag(). The 1.5.0 release advances that deprecation to its warning phase and adds a template explorer.

◆ Where it's heading

The arc is consolidation: functions the package invented are being retired as admiral core grows generic equivalents, leaving admiralophtha as the place where ophthalmology conventions are documented. Recent releases spend their weight on templates and vignettes — VFQ guidance alignment, IOP parameter mapping, subject-key options — rather than new exported code. Deprecations are run on a fixed six-month, one-release-per-phase clock, which makes the migration path unusually legible.

◆ Prediction

derive_var_bcvacritxfl() should reach its error phase and then removal over the next two releases, with the accompanying work being ADBCVA vignette and template edits 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 admiralophtha 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 admiralophtha or ggsurvfit.

See all admiralophtha alternatives → · See all ggsurvfit alternatives →

Recent activity from admiralophtha 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 agoadmiralophthaCriterion-flag deprecation reaches its warning phase
  3. 7mo agoadmiralophthaCriterion-flag deprecation starts; ADVFQ template modernised
  4. 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
  5. 1y agoadmiralophthaADBCVA and ADOE templates show richer derivation patterns
  6. 1y agoadmiralophthaCriterion flags switch to the generic admiral helper
  7. 1y agoadmiralophthaderive_var_afeye() arguments enter final deprecation
  8. 2y agoggsurvfitNegative follow-up times and a cloglog transformation
  9. 2y agoadmiralophtha1.0 release realigns templates with current admiral APIs
  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 admiralophtha 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 admiralophtha 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 admiralophtha?

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