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Comparison · Infra & APIs
crandep vs eatGADS
A side-by-side editorial comparison of crandep and eatGADS — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
crandep vs eatGADS: at a glance
What is crandep?
Half CRAN dependency scraper, half extreme-value modelling kit — and the scraper half keeps finding bugs.
crandep does two jobs that rarely share a package: it harvests the CRAN dependency network, and it fits power-law and extreme-value mixture models to the resulting degree distributions. The 2024 releases were all model work — profile posteriors, wrappers, a constrained variant, a TZP-power-law mixture between the two- and three-component models. The 2025 releases are entirely the other half, fixing what the harvester was silently getting wrong.
What is eatGADS?
Labelled survey data, one edge case at a time — and the edge cases are all about missing values.
eatGADS manages labelled survey and assessment data in R, the SPSS-descended world of value labels, missing tags, and metadata that has to survive every transformation. Releases are roughly annual and dense. The current one, 1.2.0, is about doing things in bulk: changing value labels, missing tags, and recodings across many variables at once rather than one at a time.
crandep vs eatGADS: editorial side-by-side
crandep
0.0INFRA · APIS
Half CRAN dependency scraper, half extreme-value modelling kit — and the scraper half keeps finding bugs.
◆ Current state
crandep does two jobs that rarely share a package: it harvests the CRAN dependency network, and it fits power-law and extreme-value mixture models to the resulting degree distributions. The 2024 releases were all model work — profile posteriors, wrappers, a constrained variant, a TZP-power-law mixture between the two- and three-component models. The 2025 releases are entirely the other half, fixing what the harvester was silently getting wrong.
◆ Where it's heading
The modelling side has settled into a family of mixtures with matching wrapper and profile-posterior functions, and has not gained a new component since mid-2024. Attention has shifted to data quality in the scraper, where two consecutive releases dealt with the same class of problem: rows that should not exist because of trailing commas in CRAN's own metadata, and rows that should exist but did not because orphan packages have no edges. For a package whose science is degree distributions, missing isolated nodes is a modelling error, not a formatting one.
◆ Prediction
Expect further hardening against CRAN metadata quirks in the harvesting functions; the mixture-model side looks feature-complete and is likely to stay quiet unless a new component model is published.
eatGADS
0.0INFRA · APIS
Labelled survey data, one edge case at a time — and the edge cases are all about missing values.
◆ Current state
eatGADS manages labelled survey and assessment data in R, the SPSS-descended world of value labels, missing tags, and metadata that has to survive every transformation. Releases are roughly annual and dense. The current one, 1.2.0, is about doing things in bulk: changing value labels, missing tags, and recodings across many variables at once rather than one at a time.
◆ Where it's heading
The feature line and the bug line point at the same thing from opposite directions. Features keep widening the aperture — multiple variables, multiple ID variables, comparisons within a single object — while fixes keep landing on the collision between value labels and missing codes, where a value can be labelled NA, duplicated, or tagged and transformed away. extractData() and extractData2() alone absorbed eight separate correctness fixes across the last two releases. The package is hardening the one place labelled data is most likely to lose information.
◆ Prediction
Expect the bulk-operation pattern to spread to the remaining single-variable functions, and continued fixes wherever value labels and missing tags interact; the extraction path is clearly still the weak point.
Alternatives to crandep and eatGADS
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 crandep or eatGADS.
NGINX
nginx returns to feature work with PROXY v2 upstream writes, and quietly adds JSON to core.
ESPHome
ESPHome closes the 2026.8 cycle, but the release body is a bare link to the real notes.
vcfR
A genomics workhorse whose visible release feed stops dead in mid-2020.
dialr
The R phone-number package stopped only parsing numbers and started asking them where they are.
ggVennDiagram
A Venn diagram package whose public release notes say almost nothing — including about its copyright cleanup.
See all crandep alternatives → · See all eatGADS alternatives →
Recent activity from crandep and eatGADS
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agocrandepDependency harvest split in two so orphan packages stop disappearing
- 1y agoeatGADSValue labels, missings, and recodes go multi-variable
- 1y agocrandepTrailing commas in CRAN metadata no longer produce empty-name rows
- 1y agoeatGADSTibble import and within-object difference inspection
- 2y agocrandepConstrained two-component mixture with continuity at the threshold
- 2y agocrandepArgument names normalised to x_max; MCMC wrapper defaults set
- 2y agocrandepTZP-power-law mixture fills the gap between the 2- and 3-component models
- 2y agocrandepProfile posteriors and chained MCMC wrappers for the mixture models
- 3y agoeatGADSVariable clone, create, insert, and auto-recode round out the toolkit
Frequently asked questions
What is the difference between crandep and eatGADS?
Both compete on the same themes — r-package — within Infra & APIs. crandep and eatGADS 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 crandep better than eatGADS?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. crandep and eatGADS 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 crandep?
Top crandep alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "crandep alternatives" section above for the current picks, or visit /alternatives/crandep for the full list with editorial commentary on each.
What are the best alternatives to eatGADS?
Top eatGADS alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "eatGADS alternatives" section above for the current picks, or visit /alternatives/eatgads for the full list with editorial commentary on each.