metatools
SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
A side-by-side editorial comparison of ggsurvfit and goshawk — release velocity, themes, recent moves, and the top alternatives to consider.
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.
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.
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.
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.
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.
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.
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.
Nothing in these entries supports a prediction about the package's direction; a meaningful signal would need a release that carries actual notes.
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.
SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
marquee is filling in the typographic details — outlines, border types, real font metrics for underlines.
A clinical-script logger that stopped shipping after its 0.2 line, changelogs made of merged PRs.
R's object inspector is losing its view of the internals as CRAN closes off the private C API.
A weather-station data client that broke one return type to hand back distances instead of bare IDs.
giscoR's 1.0 moved its dataset index into the cache, so new Eurostat releases arrive without a package update.
See all ggsurvfit alternatives → · See all goshawk alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
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.
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.
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.
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.