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ggsurvfit vs gigs

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

ggsurvfit vs gigs: at a glance

Featureggsurvfitgigs
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themessurvival-analysis, ggplot2, competing-risks, clinical-plotsgrowth-standards, neonatal-health, r-package, ropensci
Last editorial update6h ago1h ago
WebsiteVisit →Visit →

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 →

What is gigs?

gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.

gigs implements international newborn and infant growth standards — INTERGROWTH-21st, WHO — converting anthropometric measurements to z-scores and centiles and classifying growth outcomes. The 0.5.0 release rewrote the public API around rOpenSci review feedback; the two releases after it change no code at all, existing purely to get the documentation site building.

Read the full gigs trajectory →

ggsurvfit vs gigs: editorial side-by-side

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.

G
gigs
ANALYTICS
0.0

gigs redesigned its whole conversion API for rOpenSci, then spent three releases getting the docs to build.

◆ Current state

gigs implements international newborn and infant growth standards — INTERGROWTH-21st, WHO — converting anthropometric measurements to z-scores and centiles and classifying growth outcomes. The 0.5.0 release rewrote the public API around rOpenSci review feedback; the two releases after it change no code at all, existing purely to get the documentation site building.

◆ Where it's heading

The package has moved from vector-in, vector-out conversion helpers to a data.frame-oriented interface with a single classify_growth() entry point that computes whatever outcomes the supplied columns allow. That is a shift from library to tool — the user describes their data rather than picking the right function. The trailing releases suggest the code is settled and the remaining work is packaging and discoverability.

◆ Prediction

With the API rewrite absorbed and hosting moved to rOpenSci, the next substantive release should add growth standards or outcomes rather than reshape the interface again.

Alternatives to ggsurvfit and gigs

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 ggsurvfit or gigs.

See all ggsurvfit alternatives → · See all gigs alternatives →

Recent activity from ggsurvfit and gigs

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

  1. 21d 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 agogigsDocs and Zenodo archiving
  4. 1y agogigsDocs-only release; nothing changed internally
  5. 1y agogigsConversion API rewritten around data frames and classify_growth()
  6. 2y agoggsurvfitNegative follow-up times and a cloglog transformation
  7. 2y agogigsDocumentation fixes for autotest compliance
  8. 2y agogigsINTERGROWTH-21st fetal standards and input validation
  9. 2y agogigsPatch release with documentation update
  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 ggsurvfit and gigs?

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 ggsurvfit better than gigs?

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 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.

What are the best alternatives to gigs?

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