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Comparison · Infra & APIs

cocoon vs ggInterval

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

Shared themes:r-package

cocoon vs ggInterval: at a glance

FeaturecocoonggInterval
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, statistics, reporting, maintenancesymbolic-data-analysis, interval-data, ggplot2, data-visualization
Last editorial update1d ago1h ago
WebsiteVisit →Visit →

What is cocoon?

A statistics-formatting helper in maintenance mode, tracking R-devel one fix at a time

cocoon formats statistical output for manuscripts, converting model and test objects into publication-ready strings. Its surface settled early: format_stats() is a generic that dispatches on object class, introduced in 0.1.0 to supersede the earlier format_corr() and format_ttest(), and extended in 0.2.0 to cover aov, lm, glm and the lme4 and lmerTest mixed-model families. The two releases since have been single-issue compatibility fixes against changes to wilcox.test() in R-devel.

Read the full cocoon 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 →

cocoon vs ggInterval: editorial side-by-side

C
cocoon
INFRA · APIS
0.0

A statistics-formatting helper in maintenance mode, tracking R-devel one fix at a time

◆ Current state

cocoon formats statistical output for manuscripts, converting model and test objects into publication-ready strings. Its surface settled early: format_stats() is a generic that dispatches on object class, introduced in 0.1.0 to supersede the earlier format_corr() and format_ttest(), and extended in 0.2.0 to cover aov, lm, glm and the lme4 and lmerTest mixed-model families. The two releases since have been single-issue compatibility fixes against changes to wilcox.test() in R-devel.

◆ Where it's heading

The package reached feature completeness for its stated job quickly and has been in maintenance since early 2025. Both 0.2.1 and 0.3.1 address the same upstream moving part - how wilcox.test() computes exact versus asymptotic distributions in development versions of R - which is the shape of a package whose own code is stable and whose risk lives entirely in what it wraps. Nothing in the recent entries points at new statistical object types.

◆ Prediction

Further releases are likely to stay reactive, triggered by R-devel or dependency changes rather than by new formatting methods, unless a specific model class is requested.

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 cocoon 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 cocoon or ggInterval.

See all cocoon alternatives → · See all ggInterval alternatives →

Recent activity from cocoon and ggInterval

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

  1. 1mo agococoonTest fix for wilcox.test changes in R-devel
  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 agoggIntervalSeven plot functions renamed for consistency
  6. 11mo agococoonSuppress an R-devel warning in htest testing
  7. 1y agococoonformat_stats gains regression and mixed-model methods
  8. 1y agococoonformat_stats generic supersedes the per-test formatters
  9. 1y agococoonPre-release tag of the 0.1.0 contents

Frequently asked questions

What is the difference between cocoon and ggInterval?

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

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

Top cocoon alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "cocoon alternatives" section above for the current picks, or visit /alternatives/cocoon 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.