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dendroNetwork vs ggsurvfit

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

dendroNetwork vs ggsurvfit: at a glance

FeaturedendroNetworkggsurvfit
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesdendrochronology, network-analysis, cytoscape, archaeologysurvival-analysis, ggplot2, competing-risks, clinical-plots
Last editorial update1h ago6h ago
WebsiteVisit →Visit →

What is dendroNetwork?

Six releases, six identical bodies — the feed carries the package abstract instead of release notes

dendroNetwork builds networks of dendrochronological series from similarity between tree-ring measurements, applies community detection to find matching material, and hands the result to Cytoscape for visualisation. That description is all the feed provides: every one of the six visible releases carries the same package abstract as its body, with no record of what changed in any of them. Version 0.5.5 in July 2025 is the most recent.

Read the full dendroNetwork 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 →

dendroNetwork vs ggsurvfit: editorial side-by-side

D
dendroNetwork
ANALYTICS
0.0

Six releases, six identical bodies — the feed carries the package abstract instead of release notes

◆ Current state

dendroNetwork builds networks of dendrochronological series from similarity between tree-ring measurements, applies community detection to find matching material, and hands the result to Cytoscape for visualisation. That description is all the feed provides: every one of the six visible releases carries the same package abstract as its body, with no record of what changed in any of them. Version 0.5.5 in July 2025 is the most recent.

◆ Where it's heading

What the timestamps show is more informative than the text. Versions 0.5.0 through 0.5.3 were all published within two minutes of each other on 12 April 2024, and in descending version order, which is the signature of a release history backfilled in one pass rather than four separate releases. Real releases follow at 0.5.4 a fortnight later and 0.5.5 fifteen months after that. Development is slow and, on this evidence, undocumented.

◆ Prediction

No prediction is supportable from these entries — none of them describe a change. Any read on where this package is heading would need the NEWS file or the commit history rather than the feed.

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 dendroNetwork 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 dendroNetwork or ggsurvfit.

See all dendroNetwork alternatives → · See all ggsurvfit alternatives →

Recent activity from dendroNetwork and ggsurvfit

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

  1. 21d agoggsurvfitGray-test p-values matched to the plotted outcome by name
  2. 10mo agoggsurvfitggplot2 v4.0.0 compatibility and multi-state CI label fix
  3. 1y agodendroNetworkdendroNetwork 0.5.5
  4. 2y agoggsurvfitNegative follow-up times and a cloglog transformation
  5. 2y agodendroNetworkdendroNetwork 0.5.4
  6. 2y agodendroNetworkdendroNetwork 0.5.0
  7. 2y agodendroNetworkdendroNetwork 0.5.1
  8. 2y agodendroNetworkdendroNetwork 0.5.2
  9. 2y agodendroNetworkdendroNetwork 0.5.3
  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 dendroNetwork 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 dendroNetwork 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 dendroNetwork?

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