metatools
SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
Comparison · Analytics
ggsurvfit vs teal.modules.hermes
A side-by-side editorial comparison of ggsurvfit and teal.modules.hermes — release velocity, themes, recent moves, and the top alternatives to consider.
ggsurvfit vs teal.modules.hermes: 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 teal.modules.hermes?
teal.modules.hermes stopped publishing release notes before it stopped releasing.
All three recent tags are automation output: a bump from 0.1.3.9017 to 0.1.4, a pre-release merge whose body is a list of file-path updates and co-author trailers, and an empty commit. The most recent is from October 2022.
ggsurvfit vs teal.modules.hermes: 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.
teal.modules.hermes
0.0ANALYTICS
teal.modules.hermes stopped publishing release notes before it stopped releasing.
◆ Current state
All three recent tags are automation output: a bump from 0.1.3.9017 to 0.1.4, a pre-release merge whose body is a list of file-path updates and co-author trailers, and an empty commit. The most recent is from October 2022.
◆ Where it's heading
The tags share the insightsengineering date-stamp and [skip vbump] convention, so the feed reports pipeline events rather than package changes — the one package-relevant line across all three is scda moving to Suggests. Nothing here indicates ongoing development.
◆ Prediction
There is nothing in these entries to project from; the package's actual state would have to be read from its NEWS file or commit history.
Alternatives to ggsurvfit and teal.modules.hermes
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 teal.modules.hermes.
marquee
marquee is filling in the typographic details — outlines, border types, real font metrics for underlines.
logrx
A clinical-script logger that stopped shipping after its 0.2 line, changelogs made of merged PRs.
lobstr
R's object inspector is losing its view of the internals as CRAN closes off the private C API.
GSODR
A weather-station data client that broke one return type to hand back distances instead of bare IDs.
giscoR
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 teal.modules.hermes alternatives →
Recent activity from ggsurvfit and teal.modules.hermes
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 agoggsurvfitGlue syntax in risk tables and coxph model support
- 3y agoteal.modules.hermes2022_10_13
- 3y agoteal.modules.hermes2022_08_16: [skip vbump] Merge pre-release to main (#276)
- 4y agoteal.modules.hermes2022_06_09: [skip vbump] (#256)
Frequently asked questions
What is the difference between ggsurvfit and teal.modules.hermes?
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 teal.modules.hermes?
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 teal.modules.hermes?
Top teal.modules.hermes alternatives in Analytics are ranked by recent ship velocity. Browse the "teal.modules.hermes alternatives" section above for the current picks, or visit /alternatives/teal-modules-hermes for the full list with editorial commentary on each.