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Comparison · Infra & APIs
CBTF vs ggdist
A side-by-side editorial comparison of CBTF and ggdist — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
CBTF vs ggdist: at a glance
What is CBTF?
A fuzzer for R packages that grew from one argument at a time to parallel runs across whole namespaces.
CBTF throws deliberately problematic inputs at exported functions and reports which ones error, warn, or survive. It now covers 85 input classes, fuzzes multiple named arguments per call, runs in parallel with a per-function timeout, and reports results as a classed object with print, summary, length, and whitelist methods for pruning false positives. Output control has been refined repeatedly — the latest release adds grouping by input or by function and a summary-only mode.
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.
CBTF vs ggdist: editorial side-by-side
CBTF
0.0INFRA · APIS
A fuzzer for R packages that grew from one argument at a time to parallel runs across whole namespaces.
◆ Current state
CBTF throws deliberately problematic inputs at exported functions and reports which ones error, warn, or survive. It now covers 85 input classes, fuzzes multiple named arguments per call, runs in parallel with a per-function timeout, and reports results as a classed object with print, summary, length, and whitelist methods for pruning false positives. Output control has been refined repeatedly — the latest release adds grouping by input or by function and a summary-only mode.
◆ Where it's heading
The package has moved from a script-shaped tool to a test-suite component. The single-argument, sequential fuzz() of the early releases could not finish a large namespace or survive a function that simply hangs; the mirai rewrite fixed both, and multi-argument support widened what a run can actually reach. Nearly everything since has gone into making results triageable rather than merely produced: whitelisting, result classes, grouping, and terminal output that fits real function signatures. Note that the 0.1.0 through 0.3.0 entries carry backfilled timestamps recorded in reverse order within under a minute, so their published dates do not reflect release order.
◆ Prediction
The steady expansion of the input catalogue from 70 to 85 with a new time class suggests more input classes are the cheapest next win; the reporting surface is now detailed enough that machine-readable output for CI would be the natural follow-on.
ggdist
0.0INFRA · APIS
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.
Alternatives to CBTF and ggdist
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 CBTF or ggdist.
forestploter
A forest plot package that keeps handing users control of one more graphical detail.
ggInterval
Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.
rgm
A microbiome network model that got itself un-archived by deleting the dependency that killed it.
contagionchannels
Three releases in ten days, every one of them a CRAN reviewer's correction rather than a code change.
tidyaudit
Pipeline provenance for tidyverse workflows, recording what changed at each step without keeping the data.
Recent activity from CBTF and ggdist
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoCBTFTime inputs added; results groupable by input or function
- 6mo agoCBTFParallel fuzzing with timeouts, and multi-argument support ⚡
- 0y agoCBTFWhitelisting for false positives, plus clearer result semantics
- 1y agoCBTFFunction discovery skips unfuzzable functions; failures no longer crash
- 1y agoCBTFFirst release; notes carry only a website link
- 1y agoCBTFRaw results returned as an object with summary and print methods
- 1y agoggdistPer-geometry thickness subscales and settable defaults
- 2y agoggdistBlurred dotplots draw Monte Carlo error; weights reach every estimator ⚡
- 2y agoggdistC++ dotplot binning and safer bandwidth fallbacks
- 3y agoggdistBounded density becomes the default; existing charts change ⚡
- 3y agoggdistCategorical distributions, hex layouts, pluggable density estimators
- 4y agoggdistComputed variables shared across sub-geometries
Frequently asked questions
What is the difference between CBTF and ggdist?
Both compete on the same themes — r-package — within Infra & APIs. CBTF and ggdist 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 CBTF better than ggdist?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. CBTF and ggdist 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 CBTF?
Top CBTF alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "CBTF alternatives" section above for the current picks, or visit /alternatives/caught-by-the-fuzz for the full list with editorial commentary on each.
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.