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Comparison · Analytics

ggsurvfit vs mlr3fda

A side-by-side editorial comparison of ggsurvfit and mlr3fda — release velocity, themes, recent moves, and the top alternatives to consider.

ggsurvfit vs mlr3fda: at a glance

Featureggsurvfitmlr3fda
SectorAnalyticsAnalytics
Velocity score2.52.5
Sparks · 30d00
Top themessurvival-analysis, ggplot2, competing-risks, clinical-plotsmlr3, functional-data, feature-extraction, pipelines
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 mlr3fda?

A functional-data feature factory for mlr3, shipping a new extractor almost every month.

mlr3fda adds functional data support to mlr3 pipelines through PipeOps that turn functional columns into tabular features. Five releases since March 2026 have taken it from Fourier features to a catalogue covering wavelets, derivatives, depth, registration, integration and the catch22 time-series feature set. Development tracks the {tf} package closely.

Read the full mlr3fda trajectory →

ggsurvfit vs mlr3fda: 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.

M
mlr3fda
ANALYTICS
2.5

A functional-data feature factory for mlr3, shipping a new extractor almost every month.

◆ Current state

mlr3fda adds functional data support to mlr3 pipelines through PipeOps that turn functional columns into tabular features. Five releases since March 2026 have taken it from Fourier features to a catalogue covering wavelets, derivatives, depth, registration, integration and the catch22 time-series feature set. Development tracks the {tf} package closely.

◆ Where it's heading

The pattern is one or two new PipeOps per release with fixes to the previous batch alongside — Fourier in 0.4.0, registration in 0.5.0, depth and derivatives in 0.6.0, catch22 and integration in 0.7.0. Performance and parallel-safety work is folded in as it becomes necessary rather than deferred, as with the Fourier speedup and the mlr_reflections registration fix.

◆ Prediction

The extraction catalogue is filling out along established functional-data methods, so further tf-backed PipeOps are the likely next additions; the {tf} 0.5.0 compatibility release suggests upstream churn will keep setting the pace.

Alternatives to ggsurvfit and mlr3fda

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 mlr3fda.

See all ggsurvfit alternatives → · See all mlr3fda alternatives →

Recent activity from ggsurvfit and mlr3fda

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

  1. 20d agoggsurvfitGray-test p-values matched to the plotted outcome by name
  2. 29d agomlr3fdaCompatibility with tf 0.5.0
  3. 1mo agomlr3fdacatch22 and integral feature extractors added
  4. 2mo agomlr3fdaDepth and derivative extractors; Fourier made several times faster
  5. 3mo agomlr3fdaCurve registration via PipeOpFDARegister
  6. 4mo agomlr3fdaFourier feature extraction and package-specific condition classes
  7. 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
  8. 2y agoggsurvfitNegative follow-up times and a cloglog transformation
  9. 2y agoggsurvfitAesthetic defaults become switchable and alignment is exported
  10. 2y agoggsurvfitConfidence limits corrected for monotonicity-reversing transforms
  11. 3y agoggsurvfitGlue syntax in risk tables and coxph model support

Frequently asked questions

What is the difference between ggsurvfit and mlr3fda?

They serve adjacent needs but don't currently overlap on shipped themes. ggsurvfit and mlr3fda are shipping at a similar cadence (velocity 2.5 vs 2.5, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is ggsurvfit better than mlr3fda?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggsurvfit and mlr3fda are shipping at a similar cadence (velocity 2.5 vs 2.5, both within Sparkpulse's "active" band). 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 mlr3fda?

Top mlr3fda alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3fda alternatives" section above for the current picks, or visit /alternatives/mlr3fda for the full list with editorial commentary on each.