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Comparison · Analytics

ggsurvfit vs goshawk

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

Shared themes:clinical-plots

ggsurvfit vs goshawk: at a glance

Featureggsurvfitgoshawk
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themessurvival-analysis, ggplot2, competing-risks, clinical-plotsrelease-automation, build-stamps, clinical-plots, dormant
Last editorial update1h 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 goshawk?

goshawk's release feed is version-bump automation, not product news.

The three most recent tagged releases are all continuous-integration artefacts: a version bump from 0.1.13.9012 to 0.1.14, an action-skipping bump to 0.1.13.9007, and a date-correction commit. None carries a changelog, and the feed has produced nothing since October 2022.

Read the full goshawk trajectory →

ggsurvfit vs goshawk: 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
goshawk
ANALYTICS
0.0

goshawk's release feed is version-bump automation, not product news.

◆ Current state

The three most recent tagged releases are all continuous-integration artefacts: a version bump from 0.1.13.9012 to 0.1.14, an action-skipping bump to 0.1.13.9007, and a date-correction commit. None carries a changelog, and the feed has produced nothing since October 2022.

◆ Where it's heading

The tags follow the insightsengineering release automation — date-stamped names, [skip vbump] and [skip actions] markers, co-author trailers — which means the substance of any release lives in the package's NEWS file rather than here. On the evidence in this feed the repository is dormant.

◆ Prediction

Nothing in these entries supports a prediction about the package's direction; a meaningful signal would need a release that carries actual notes.

Alternatives to ggsurvfit and goshawk

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 goshawk.

See all ggsurvfit alternatives → · See all goshawk alternatives →

Recent activity from ggsurvfit and goshawk

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. 2y agoggsurvfitNegative follow-up times and a cloglog transformation
  4. 2y agoggsurvfitAesthetic defaults become switchable and alignment is exported
  5. 2y agoggsurvfitConfidence limits corrected for monotonicity-reversing transforms
  6. 3y agoggsurvfitGlue syntax in risk tables and coxph model support
  7. 3y agogoshawk2022_10_13
  8. 4y agogoshawk2022_08_16
  9. 4y agogoshawk2022_06_09: [skip vbump] (#156)

Frequently asked questions

What is the difference between ggsurvfit and goshawk?

Both compete on the same themes — clinical-plots — within Analytics. 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 goshawk?

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 goshawk?

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