metatools
SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
Comparison · Analytics
ggsurvfit vs logrx
A side-by-side editorial comparison of ggsurvfit and logrx — release velocity, themes, recent moves, and the top alternatives to consider.
ggsurvfit vs logrx: at a glance
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.
What is logrx?
A clinical-script logger that stopped shipping after its 0.2 line, changelogs made of merged PRs.
logrx produces execution logs for R scripts in regulated clinical work, recording what ran, what it returned, and which unapproved packages or functions were used. Its release notes are raw merged-PR lists rather than written changelogs, which makes the substance hard to read from the feed. The most recent release, 0.2.2 in June 2023, exists to track tidyselect and dplyr changes.
ggsurvfit vs logrx: editorial side-by-side
ggsurvfit
2.5ANALYTICS
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.
logrx
0.0ANALYTICS
A clinical-script logger that stopped shipping after its 0.2 line, changelogs made of merged PRs.
◆ Current state
logrx produces execution logs for R scripts in regulated clinical work, recording what ran, what it returned, and which unapproved packages or functions were used. Its release notes are raw merged-PR lists rather than written changelogs, which makes the substance hard to read from the feed. The most recent release, 0.2.2 in June 2023, exists to track tidyselect and dplyr changes.
◆ Where it's heading
Feature work concentrated in the 0.1 line — return codes, a results writer, a to_report parameter, and logging of unapproved package and function use — and the 0.2 releases have been compatibility maintenance and hotfixes. Three years of silence in a pharmaverse that has otherwise kept shipping suggests the package reached the shape its users needed rather than that it was abandoned mid-design.
◆ Prediction
Nothing in these entries points to planned work; the likeliest trigger for a release is a breaking change in tidyverse dependencies, which is what produced the last one.
Alternatives to ggsurvfit and logrx
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 logrx.
marquee
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lobstr
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GSODR
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giscoR
giscoR's 1.0 moved its dataset index into the cache, so new Eurostat releases arrive without a package update.
FedData
FedData has spent two major versions migrating US federal geodata off R's retiring spatial stack.
See all ggsurvfit alternatives → · See all logrx alternatives →
Recent activity from ggsurvfit and logrx
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 20d agoggsurvfitGray-test p-values matched to the plotted outcome by name
- 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
- 2y agoggsurvfitNegative follow-up times and a cloglog transformation
- 2y agoggsurvfitAesthetic defaults become switchable and alignment is exported
- 2y agoggsurvfitConfidence limits corrected for monotonicity-reversing transforms
- 3y agologrxAlignment with tidyselect and dplyr changes
- 3y agoggsurvfitGlue syntax in risk tables and coxph model support
- 3y agologrxRelease v0.2.1
- 3y agologrxFormatted log output plus CRAN readiness work
- 4y agologrxPackage renamed to logrx; return codes and results writer land
Frequently asked questions
What is the difference between ggsurvfit and logrx?
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 logrx?
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 logrx?
Top logrx alternatives in Analytics are ranked by recent ship velocity. Browse the "logrx alternatives" section above for the current picks, or visit /alternatives/logrx for the full list with editorial commentary on each.