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Comparison · Infra & APIs

ggdist vs tidyaudit

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

Shared themes:r-package

ggdist vs tidyaudit: at a glance

Featureggdisttidyaudit
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesdata-visualization, uncertainty, bayesian-statistics, ggplot2data-quality, provenance, tidyverse, pipeline-auditing
Last editorial update1d 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 tidyaudit?

Pipeline provenance for tidyverse workflows, recording what changed at each step without keeping the data.

tidyaudit records lightweight metadata snapshots as data flows through a pipeline — row and column counts, NA counts, and structured diffs between any two points — without storing the data itself. Taps are operation-aware, so join, filter, and anti-join steps each report what that operation specifically did, and validation helpers cover join integrity, primary keys, and variable relationships. The trail can now be exported as a self-contained interactive HTML diagram or serialized to JSON or RDS.

Read the full tidyaudit trajectory →

ggdist vs tidyaudit: 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.

T
tidyaudit
INFRA · APIS
0.0

Pipeline provenance for tidyverse workflows, recording what changed at each step without keeping the data.

◆ Current state

tidyaudit records lightweight metadata snapshots as data flows through a pipeline — row and column counts, NA counts, and structured diffs between any two points — without storing the data itself. Taps are operation-aware, so join, filter, and anti-join steps each report what that operation specifically did, and validation helpers cover join integrity, primary keys, and variable relationships. The trail can now be exported as a self-contained interactive HTML diagram or serialized to JSON or RDS.

◆ Where it's heading

The arc is from inspection to artifact. The first release made the trail something you print and read; 0.2.0 made it something you can hand to someone else or feed to another program, with the HTML export deliberately requiring no server and no Shiny. Reporting has been refined in the same direction, with a tabular changes block showing from-and-to values with row, column, and NA deltas. The remaining work in the window is defensive — a factor-handling path rebuilt because R-devel tightened what as.data.frame.table() accepts in row names.

◆ Prediction

With serialization and a standalone export in place, the natural next step is making trails comparable across runs rather than only across steps within one, though nothing in the entries commits to it yet.

Alternatives to ggdist and tidyaudit

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 tidyaudit.

See all ggdist alternatives → · See all tidyaudit alternatives →

Recent activity from ggdist and tidyaudit

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

  1. 3mo agotidyauditFactor auditing fixed against a stricter R-devel
  2. 4mo agotidyauditTrails export to standalone HTML and machine-readable formats
  3. 5mo agotidyauditFirst release: pipeline audit trails for tidyverse
  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 tidyaudit?

Both compete on the same themes — r-package — within Infra & APIs. ggdist and tidyaudit 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 tidyaudit?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggdist and tidyaudit 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 tidyaudit?

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