← Back to home
Comparison · Analytics

ggsurvfit vs teal.modules.clinical

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

ggsurvfit vs teal.modules.clinical: at a glance

Featureggsurvfitteal.modules.clinical
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themessurvival-analysis, ggplot2, competing-risks, clinical-plotsclinical-trials, shiny-modules, teal, decorators
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 teal.modules.clinical?

Roche's clinical teal modules have settled into slow, decorator-driven maintenance.

The module library took its architectural break in 0.9.0, when every module moved to teal_data objects and dropped data_extract_spec inputs. Work since then is narrower: formatting arguments, decorator plumbing, and per-module bug fixes. The 0.13.0 candidates cut in July 2026 are a two-tag same-day release where the first tag carries all the notes.

Read the full teal.modules.clinical trajectory →

ggsurvfit vs teal.modules.clinical: 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.

T0.0

Roche's clinical teal modules have settled into slow, decorator-driven maintenance.

◆ Current state

The module library took its architectural break in 0.9.0, when every module moved to teal_data objects and dropped data_extract_spec inputs. Work since then is narrower: formatting arguments, decorator plumbing, and per-module bug fixes. The 0.13.0 candidates cut in July 2026 are a two-tag same-day release where the first tag carries all the notes.

◆ Where it's heading

Development has shifted from reshaping the module API to making outputs configurable — numeric formatting in tm_t_summary, several decorators applied to one output object, categorical statistics in summary_by. Changes arrive from a wide bench of Roche engineers with occasional outside contributors, and releases go through candidates rather than straight to final.

◆ Prediction

A 0.13.0 final should follow the candidates with little beyond a dependency bump; the decorator work ported from teal.modules.general is the most likely source of the next batch of changes.

Alternatives to ggsurvfit and teal.modules.clinical

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.clinical.

See all ggsurvfit alternatives → · See all teal.modules.clinical alternatives →

Recent activity from ggsurvfit and teal.modules.clinical

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 20d agoggsurvfitGray-test p-values matched to the plotted outcome by name
  2. 1mo agoteal.modules.clinicalNumeric formatting control and multi-decorator outputs
  3. 1mo agoteal.modules.clinicalteal.transform dependency bump
  4. 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
  5. 2y agoggsurvfitNegative follow-up times and a cloglog transformation
  6. 2y agoteal.modules.clinicalForest and Kaplan-Meier plots move to ggplot objects
  7. 2y agoteal.modules.clinicalEvery clinical module migrates to teal_data objects
  8. 2y agoggsurvfitAesthetic defaults become switchable and alignment is exported
  9. 2y agoggsurvfitConfidence limits corrected for monotonicity-reversing transforms
  10. 3y agoggsurvfitGlue syntax in risk tables and coxph model support

Frequently asked questions

What is the difference between ggsurvfit and teal.modules.clinical?

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.clinical?

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.clinical?

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