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Comparison · Infra & APIs

CBTF vs ggInterval

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

Shared themes:r-package

CBTF vs ggInterval: at a glance

FeatureCBTFggInterval
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themestesting, fuzzing, r-package, developer-toolssymbolic-data-analysis, interval-data, ggplot2, data-visualization
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

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.

Read the full CBTF trajectory →

What is ggInterval?

Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.

ggInterval visualizes symbolic interval-valued data — observations recorded as ranges rather than points — with a family of plot functions in the ggplot2 idiom. The plot catalogue grew most recently with interval correlation heatmaps and interval line plots compatible with time-series input. The three releases before that were corrections: seven plot functions renamed for consistency, examples switched from dontrun to donttest at CRAN's request, and a vignette rewritten to demonstrate every function in one place.

Read the full ggInterval trajectory →

CBTF vs ggInterval: editorial side-by-side

C
CBTF
INFRA · APIS
0.0

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.

G
ggInterval
INFRA · APIS
0.0

Interval-valued data plotting, spending 2026 making its function names and examples survive CRAN.

◆ Current state

ggInterval visualizes symbolic interval-valued data — observations recorded as ranges rather than points — with a family of plot functions in the ggplot2 idiom. The plot catalogue grew most recently with interval correlation heatmaps and interval line plots compatible with time-series input. The three releases before that were corrections: seven plot functions renamed for consistency, examples switched from dontrun to donttest at CRAN's request, and a vignette rewritten to demonstrate every function in one place.

◆ Where it's heading

The package is consolidating an interface that had drifted. Renaming seven functions in a single release is the clearest signal — the naming was inconsistent enough to be worth breaking, and the vignette rewrite that followed suggests discoverability was the underlying complaint. Underneath that, the additions are steady and narrow: each release brings interval-aware versions of plot types that already exist for point data, which is the whole premise of the package.

◆ Prediction

The pattern of porting one more standard plot type into interval-aware form each release is the most likely continuation; the tsplot compatibility in the latest version hints that time-series interval data is the direction attracting attention.

Alternatives to CBTF and ggInterval

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 ggInterval.

See all CBTF alternatives → · See all ggInterval alternatives →

Recent activity from CBTF and ggInterval

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

  1. 1mo agoCBTFTime inputs added; results groupable by input or function
  2. 3mo agoggIntervalInterval correlation heatmaps and time-series-compatible line plots
  3. 6mo agoggIntervalExamples switched to donttest per CRAN review
  4. 6mo agoggIntervalVignette rewritten to cover every plot function
  5. 6mo agoCBTFParallel fuzzing with timeouts, and multi-argument support
  6. 6mo agoggIntervalSeven plot functions renamed for consistency
  7. 0y agoCBTFWhitelisting for false positives, plus clearer result semantics
  8. 1y agoCBTFFunction discovery skips unfuzzable functions; failures no longer crash
  9. 1y agoCBTFFirst release; notes carry only a website link
  10. 1y agoCBTFRaw results returned as an object with summary and print methods

Frequently asked questions

What is the difference between CBTF and ggInterval?

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

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

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