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Comparison · Analytics

cffr vs ggsurvfit

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

cffr vs ggsurvfit: at a glance

Featurecffrggsurvfit
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themescitation-metadata, r-packages, schema-validation, open-sciencesurvival-analysis, ggplot2, competing-risks, clinical-plots
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is cffr?

cffr keeps CITATION.cff generation in step with the standard and its R sources.

The package generates and validates CITATION.cff files from R package metadata. Recent work is validation and parsing accuracy rather than new outputs: cff_validate() moved onto the ajv engine through jsonvalidate for clearer errors, ROR identifiers act as a website fallback for people and entities, and DOIs are now detected in inst/CITATION url fields including dx.doi.org forms.

Read the full cffr 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 →

cffr vs ggsurvfit: editorial side-by-side

C
cffr
ANALYTICS
0.0

cffr keeps CITATION.cff generation in step with the standard and its R sources.

◆ Current state

The package generates and validates CITATION.cff files from R package metadata. Recent work is validation and parsing accuracy rather than new outputs: cff_validate() moved onto the ajv engine through jsonvalidate for clearer errors, ROR identifiers act as a website fallback for people and entities, and DOIs are now detected in inst/CITATION url fields including dx.doi.org forms.

◆ Where it's heading

The package tracks two moving targets — the Citation File Format schema and R's own person and citation handling, which has broken extraction twice in recent releases. Between those, releases pick up ecosystem details: Codeberg recognised as a repository host, CRAN-to-SPDX licence mappings refreshed, GitHub Action defaults changed to save quota. The most recent release is an internal refactor carried out with AI assistance, with no user-facing change.

◆ Prediction

With validation migrated and the R 4.5 person changes absorbed, the next release most likely follows a Citation File Format schema update rather than adding capability.

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 cffr 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 cffr or ggsurvfit.

See all cffr alternatives → · See all ggsurvfit alternatives →

Recent activity from cffr 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. 1mo agocffrInternal refactor and test hardening
  3. 3mo agocffrValidation moves to ajv; ROR and DOI detection improve
  4. 5mo agocffrR 4.1 minimum and Quarto vignettes
  5. 7mo agocffrAction defaults and person-comment parsing
  6. 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
  7. 1y agocffrcff_write() can now generate inst/CITATION too
  8. 1y agocffrORCID extraction adapted to R person changes
  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 cffr 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 cffr 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 cffr?

Top cffr alternatives in Analytics are ranked by recent ship velocity. Browse the "cffr alternatives" section above for the current picks, or visit /alternatives/cffr 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.