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Comparison · Infra & APIs

ggdist vs lifecontingencies

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

Shared themes:r-package

ggdist vs lifecontingencies: at a glance

Featureggdistlifecontingencies
SectorInfra & APIsInfra & APIs
Velocity score0.02.5
Sparks · 30d00
Top themesdata-visualization, uncertainty, bayesian-statistics, ggplot2actuarial-science, rcpp, cran, ci-maintenance
Last editorial update23h ago1h ago
WebsiteVisit →Visit →

What is ggdist?

The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.

ggdist supplies ggplot2 with a compositional vocabulary for distributions — slabs, intervals, dotplots and the sub-geometries that combine them. The last three years moved it from a drawing library to an estimation library: bounded density estimation with Sheather-Jones bandwidth became the default, weights propagate through every density, interval and point summary, and blurred dotplots render Monte Carlo standard error as visual fuzz. The 2025 release rounds this out with per-geometry thickness subscales and settable global defaults.

Read the full ggdist trajectory →

What is lifecontingencies?

An actuarial mainstay spends its releases on CI plumbing, not on new mathematics.

lifecontingencies is a long-running R package for actuarial life-contingency mathematics. Its three most recent tags show a maintainer keeping the infrastructure alive rather than extending the library: 1.5.2 is entirely author-metadata corrections, CI workflow repairs and release automation, 1.4.4 moved presentValue() onto Rcpp, and 1.4.1 states outright that it is identical to the version before it. The 1.5.2 notes jump from 1.4.4, so whatever happened in between never reached this feed.

Read the full lifecontingencies trajectory →

ggdist vs lifecontingencies: editorial side-by-side

G
ggdist
INFRA · APIS
0.0

The grammar of uncertainty visualization, now drawing the uncertainty in its own estimates.

◆ Current state

ggdist supplies ggplot2 with a compositional vocabulary for distributions — slabs, intervals, dotplots and the sub-geometries that combine them. The last three years moved it from a drawing library to an estimation library: bounded density estimation with Sheather-Jones bandwidth became the default, weights propagate through every density, interval and point summary, and blurred dotplots render Monte Carlo standard error as visual fuzz. The 2025 release rounds this out with per-geometry thickness subscales and settable global defaults.

◆ Where it's heading

Two threads run in parallel and keep converging. One is statistical: pluggable density estimators arrived first, then became the default, then gained weights and quantile histograms. The other is compositional: sub-geometries acquired their own guides, then their own scales, so a slab's thickness axis is now a first-class annotated dimension. Cadence has stretched from twice-yearly to roughly annual, with the recent work tightening existing surface rather than opening new.

◆ Prediction

Subguides gained subscales a release later, so the remaining asymmetry is in the sub-geometry system rather than the statistics; expect the next release to continue that fill-in work.

L
lifecontingencies
INFRA · APIS
2.5

An actuarial mainstay spends its releases on CI plumbing, not on new mathematics.

◆ Current state

lifecontingencies is a long-running R package for actuarial life-contingency mathematics. Its three most recent tags show a maintainer keeping the infrastructure alive rather than extending the library: 1.5.2 is entirely author-metadata corrections, CI workflow repairs and release automation, 1.4.4 moved presentValue() onto Rcpp, and 1.4.1 states outright that it is identical to the version before it. The 1.5.2 notes jump from 1.4.4, so whatever happened in between never reached this feed.

◆ Where it's heading

The one genuine engineering thread is performance: rewriting presentValue() in Rcpp targets the innermost loop of every annuity and insurance valuation the package performs. Everything since has been about keeping CRAN checks green across platforms — TinyTeX install order, cross-platform caching, automated release tagging — plus a set of Italian actuarial benchmark tests that pin results against published tables. That is maintenance discipline on a stable API, not expansion.

◆ Prediction

Expect further patch tags carrying CI and documentation work, with any Rcpp performance work extending from presentValue() into adjacent valuation functions if it continues at all.

Alternatives to ggdist and lifecontingencies

Other Infra & APIs 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 ggdist or lifecontingencies.

See all ggdist alternatives → · See all lifecontingencies alternatives →

Recent activity from ggdist and lifecontingencies

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

  1. 1d agolifecontingenciesCI and metadata work; Italian actuarial benchmark tests added
  2. 8mo agolifecontingenciespresentValue() moves to Rcpp
  3. 11mo agolifecontingenciesTag identical to the previous version
  4. 1y agoggdistPer-geometry thickness subscales and settable defaults
  5. 2y agoggdistBlurred dotplots draw Monte Carlo error; weights reach every estimator
  6. 2y agoggdistC++ dotplot binning and safer bandwidth fallbacks
  7. 3y agoggdistBounded density becomes the default; existing charts change
  8. 3y agoggdistCategorical distributions, hex layouts, pluggable density estimators
  9. 4y agoggdistComputed variables shared across sub-geometries

Frequently asked questions

What is the difference between ggdist and lifecontingencies?

Both compete on the same themes — r-package — within Infra & APIs. lifecontingencies 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 ggdist better than lifecontingencies?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. lifecontingencies 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to ggdist?

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

What are the best alternatives to lifecontingencies?

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