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ggsurvfit vs simulist

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

ggsurvfit vs simulist: at a glance

Featureggsurvfitsimulist
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themessurvival-analysis, ggplot2, competing-risks, clinical-plotsepiverse-trace, outbreak-simulation, line-list, data-realism
Last editorial update1h ago2h 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 simulist?

simulist stopped simulating clean outbreaks and started simulating the mess real surveillance data arrives in.

simulist generates synthetic line list and contact-tracing data for outbreak analytics as part of the Epiverse-TRACE stack. It reached stable status in 0.6.0 and was published in JOSS alongside 0.7.0 in February 2026. Its distinguishing feature is no longer the epidemic simulation itself but the post-processing layer that degrades the output into realistic data.

Read the full simulist trajectory →

ggsurvfit vs simulist: 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.

S
simulist
ANALYTICS
0.0

simulist stopped simulating clean outbreaks and started simulating the mess real surveillance data arrives in.

◆ Current state

simulist generates synthetic line list and contact-tracing data for outbreak analytics as part of the Epiverse-TRACE stack. It reached stable status in 0.6.0 and was published in JOSS alongside 0.7.0 in February 2026. Its distinguishing feature is no longer the epidemic simulation itself but the post-processing layer that degrades the output into realistic data.

◆ Where it's heading

The scope moved outward in two steps. 0.5.0 added truncate_linelist() and messy_linelist() to produce right-truncated snapshots and data with missingness and inconsistencies; 0.6.0 added censor_linelist() for grouping dates into intervals with a weekend-reporting effect. The simulation core has meanwhile settled — 0.7.0's changes are interface polish: weighted sex sampling and <epiparameter> objects accepted for reporting_delay.

◆ Prediction

Post-processing is where the recent work is, so further realism controls — additional reporting artefacts or interval schemes — are a likelier next step than new epidemic model structures.

Alternatives to ggsurvfit and simulist

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 simulist.

See all ggsurvfit alternatives → · See all simulist alternatives →

Recent activity from ggsurvfit and simulist

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

  1. 20d agoggsurvfitGray-test p-values matched to the plotted outcome by name
  2. 6mo agosimulistJOSS paper corrections
  3. 6mo agosimulistWeighted sex sampling and epiparameter objects for reporting delays
  4. 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
  5. 11mo agosimulistcensor_linelist() adds interval censoring and a weekend effect
  6. 1y agosimulistPost-processing arrives: truncated snapshots and deliberately messy line lists
  7. 1y agosimulistEvery sim_*() argument gains a default
  8. 2y agosimulistInfectious period replaces contact interval; time-varying fatality risk added
  9. 2y agoggsurvfitNegative follow-up times and a cloglog transformation
  10. 2y agoggsurvfitAesthetic defaults become switchable and alignment is exported
  11. 2y agoggsurvfitConfidence limits corrected for monotonicity-reversing transforms
  12. 3y agoggsurvfitGlue syntax in risk tables and coxph model support

Frequently asked questions

What is the difference between ggsurvfit and simulist?

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 simulist?

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 simulist?

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