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Comparison · Infra & APIs

cocoon vs dataSDA

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

Shared themes:r-package

cocoon vs dataSDA: at a glance

FeaturecocoondataSDA
SectorInfra & APIsInfra & APIs
Velocity score0.02.5
Sparks · 30d00
Top themesr-package, statistics, reporting, maintenancer-package, symbolic-data, interval-data, dataset-catalogue
Last editorial update1h ago2h 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 dataSDA?

dataSDA grew from a dataset collection into a symbolic-data conversion toolkit.

The package now carries 105 documented datasets in interval, histogram, modal, and mixed symbolic formats, drawn from other R packages, the Billard and Diday textbooks, and public sources such as the Portuguese air quality network. Alongside the data it has accumulated conversion functions between the MM, RSDA, iGAP, SODAS, and ARRAY representations, CSV read and write support, and a keyword search over the catalogue.

Read the full dataSDA trajectory →

cocoon vs dataSDA: 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.

D
dataSDA
INFRA · APIS
2.5

dataSDA grew from a dataset collection into a symbolic-data conversion toolkit.

◆ Current state

The package now carries 105 documented datasets in interval, histogram, modal, and mixed symbolic formats, drawn from other R packages, the Billard and Diday textbooks, and public sources such as the Portuguese air quality network. Alongside the data it has accumulated conversion functions between the MM, RSDA, iGAP, SODAS, and ARRAY representations, CSV read and write support, and a keyword search over the catalogue.

◆ Where it's heading

The arc across this window runs from cataloguing to tooling. Early releases added datasets and then spent two consecutive releases fixing format documentation across all 105 of them. Later releases shift to functions: format converters, symbolic CSV I/O, and most recently a diagnostic that flags zero-width intervals before they reach tools that divide by interval width. That last addition is the clearest signal of intent — the package is starting to guard the analyses downstream of it, not just supply inputs.

◆ Prediction

Expect further validation helpers in the mould of the zero-width check, since interval data has several degenerate shapes that break downstream methods silently.

Alternatives to cocoon and dataSDA

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 dataSDA.

See all cocoon alternatives → · See all dataSDA alternatives →

Recent activity from cocoon and dataSDA

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

  1. 9d agodataSDACorrects dataset references and citations
  2. 1mo agococoonTest fix for wilcox.test changes in R-devel
  3. 2mo agodataSDAAdds zero-width interval diagnostics for symbolic data
  4. 5mo agodataSDAAdds symbolic format converters, CSV I/O, and 11 interval series
  5. 5mo agodataSDAFixes column metadata for 19 interval datasets
  6. 5mo agodataSDACompletes format documentation across all 105 datasets
  7. 5mo agodataSDAAdds 17 datasets from R packages and reference texts
  8. 11mo agococoonSuppress an R-devel warning in htest testing
  9. 1y agococoonformat_stats gains regression and mixed-model methods
  10. 1y agococoonformat_stats generic supersedes the per-test formatters
  11. 1y agococoonPre-release tag of the 0.1.0 contents

Frequently asked questions

What is the difference between cocoon and dataSDA?

Both compete on the same themes — r-package — within Infra & APIs. dataSDA is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is cocoon better than dataSDA?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dataSDA is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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 dataSDA?

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