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cleanepi vs ggsurvfit

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

cleanepi vs ggsurvfit: at a glance

Featurecleanepiggsurvfit
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesepiverse-trace, data-cleaning, line-list, reportingsurvival-analysis, ggplot2, competing-risks, clinical-plots
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is cleanepi?

cleanepi is in the long tail of bug fixes that follows a 1.0 — and changed maintainers along the way.

cleanepi cleans and standardises epidemiological line list data — dates, subject IDs, missing values, duplicates — and produces a report of what it changed. Since 1.0.0 in mid-2024 the releases have been almost entirely corrective: date-guesser fixes, report structure fixes and matching behaviour corrections. Maintainership passed to Bubacarr Bah in 1.1.2.

Read the full cleanepi trajectory →

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 →

cleanepi vs ggsurvfit: editorial side-by-side

C
cleanepi
ANALYTICS
0.0

cleanepi is in the long tail of bug fixes that follows a 1.0 — and changed maintainers along the way.

◆ Current state

cleanepi cleans and standardises epidemiological line list data — dates, subject IDs, missing values, duplicates — and produces a report of what it changed. Since 1.0.0 in mid-2024 the releases have been almost entirely corrective: date-guesser fixes, report structure fixes and matching behaviour corrections. Maintainership passed to Bubacarr Bah in 1.1.2.

◆ Where it's heading

Work has concentrated on the report object and on making the cleaning functions behave predictably at the edges — case- and whitespace-insensitive missing-value matching, report elements returned as vectors instead of comma-separated strings, an argument to print a single operation's report. The underlying cleaning API has barely moved since 1.0.0, which suggests it is settled.

◆ Prediction

The report interface has been reworked repeatedly across these releases and is the most likely place for further change; the cleaning functions themselves look stable.

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.

Alternatives to cleanepi and ggsurvfit

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 cleanepi or ggsurvfit.

See all cleanepi alternatives → · See all ggsurvfit alternatives →

Recent activity from cleanepi and ggsurvfit

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

  1. 20d agoggsurvfitGray-test p-values matched to the plotted outcome by name
  2. 9mo agocleanepiCase-insensitive missing-value matching and report fixes
  3. 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
  4. 1y agocleanepiReport elements become vectors; date parsing default restored
  5. 1y agocleanepiDate guesser corrected; empty-row indices fixed
  6. 2y agocleanepiFirst major release with cleaning and reporting
  7. 2y agoggsurvfitNegative follow-up times and a cloglog transformation
  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 cleanepi and ggsurvfit?

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 cleanepi better than ggsurvfit?

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 cleanepi?

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

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.