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Comparison · Infra & APIs

ggdist vs ltertools

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

Shared themes:r-package

ggdist vs ltertools: at a glance

Featureggdistltertools
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesdata-visualization, uncertainty, bayesian-statistics, ggplot2data-harmonization, ecology, lter, research-data
Last editorial update52m ago53m 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 ltertools?

A column-key toolkit for stitching decades of ecological field data into one table.

ltertools serves the Long Term Ecological Research network, where the same measurement carries a different column name at every site and in every era. Its core is a column key: begin_key drafts one, harmonize applies it, and the 2.0.0 release added check_key to validate a key and standardize to apply one to a single dataset. Harmonization of files above 5 MB now runs in roughly half the time.

Read the full ltertools trajectory →

ggdist vs ltertools: 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
ltertools
INFRA · APIS
0.0

A column-key toolkit for stitching decades of ecological field data into one table.

◆ Current state

ltertools serves the Long Term Ecological Research network, where the same measurement carries a different column name at every site and in every era. Its core is a column key: begin_key drafts one, harmonize applies it, and the 2.0.0 release added check_key to validate a key and standardize to apply one to a single dataset. Harmonization of files above 5 MB now runs in roughly half the time.

◆ Where it's heading

Development has moved from breadth to depth. The first year added assorted utilities — temperature conversion, solar day length, a site timeline — while the last two releases have concentrated on the key workflow itself: incremental key expansion, validation, per-dataset application, and speed. A dependency archival forced the removal of the JSON helper, trimming the package back toward that core.

◆ Prediction

The key workflow now has draft, expand, check and apply steps, so the remaining gap is diagnostics on the harmonized output; the entries show no other thread in progress.

Alternatives to ggdist and ltertools

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 ltertools.

See all ggdist alternatives → · See all ltertools alternatives →

Recent activity from ggdist and ltertools

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

  1. 11mo agoltertoolsWarning wording and a ggplot2 4.0.0 test update
  2. 1y agoggdistPer-geometry thickness subscales and settable defaults
  3. 1y agoltertoolsKey validation and single-dataset standardizing; JSON helper dropped
  4. 1y agoltertoolsIncremental key expansion for newly added files
  5. 1y agoltertoolsSolar day calculations, JSON export, defensive checks in harmonize
  6. 2y agoggdistBlurred dotplots draw Monte Carlo error; weights reach every estimator
  7. 2y agoltertoolsFirst CRAN release: the column-key harmonization workflow
  8. 2y agoggdistC++ dotplot binning and safer bandwidth fallbacks
  9. 3y agoggdistBounded density becomes the default; existing charts change
  10. 3y agoggdistCategorical distributions, hex layouts, pluggable density estimators
  11. 4y agoggdistComputed variables shared across sub-geometries

Frequently asked questions

What is the difference between ggdist and ltertools?

Both compete on the same themes — r-package — within Infra & APIs. ggdist and ltertools are shipping at a similar cadence (velocity 0.0 vs 0.0, 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 ggdist better than ltertools?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggdist and ltertools are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). 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 ltertools?

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