metatools
SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
A side-by-side editorial comparison of ggsurvfit and sivirep — 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.
sivirep turned Colombia's SIVIGILA surveillance data into a one-call reporting package.
The 1.0.0 release of December 2024 is the substance of this feed: incidence calculation and plotting for the country, departments and municipalities, ethnicity and case-classification breakdowns, multi-year retrospectives, and a Reporte Evento template that assembles them. It was shaped by usability testing and expert review with Colombia's National Institute of Health. The two patches since are fixes, warnings and documentation.
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 1.0.0 release of December 2024 is the substance of this feed: incidence calculation and plotting for the country, departments and municipalities, ethnicity and case-classification breakdowns, multi-year retrospectives, and a Reporte Evento template that assembles them. It was shaped by usability testing and expert review with Colombia's National Institute of Health. The two patches since are fixes, warnings and documentation.
Work after 1.0.0 has gone into making the report template survive bad input rather than adding analyses — warnings when a municipality or department has no data, handlers that surface import and geo-filter errors during rendering, and an explicit note that first use of any import function needs an internet connection. English-language articles were added alongside the Spanish function interface.
Spanish-named functions paired with new English articles point at a widening audience; more translation of the guides looks likelier than new epidemiological methods.
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 sivirep.
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 sivirep alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
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.
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 sivirep alternatives in Analytics are ranked by recent ship velocity. Browse the "sivirep alternatives" section above for the current picks, or visit /alternatives/sivirep for the full list with editorial commentary on each.