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Comparison · Analytics
GDPuc vs seriation
A side-by-side editorial comparison of GDPuc and seriation — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
GDPuc vs seriation: at a glance
What is GDPuc?
A GDP unit converter that keeps widening which currencies and deflators it will accept
GDPuc converts GDP figures between currencies, base years and price bases, using World Bank conversion factors, and is used as a dependency inside the madrat/magclass modelling stack. The 1.6.x line introduced xCU as a unit — local currency of any country x — added arguments for non-default iso3c and year columns, and made the package work with madrat caching and region mappings. The most recent release fixes a bug in iso3c column selection.
What is seriation?
seriation stopped shipping algorithms and started shipping a way to pick between them.
seriation finds meaningful orderings for matrices, distance objects and dendrograms, and carries a large registry of methods from classic combinatorial criteria to t-SNE and UMAP embeddings. The 1.5.0 release added a layer above that registry — seriate_best(), seriate_rep() and seriate_improve() — which run randomized methods repeatedly, in parallel, and keep the best result. Recent work is definitional and numeric rather than additive: 1.5.8 corrects the linear seriation criterion to match Hubert and Schultz's original 1976 definition.
GDPuc vs seriation: editorial side-by-side
GDPuc
0.0ANALYTICS
A GDP unit converter that keeps widening which currencies and deflators it will accept
◆ Current state
GDPuc converts GDP figures between currencies, base years and price bases, using World Bank conversion factors, and is used as a dependency inside the madrat/magclass modelling stack. The 1.6.x line introduced xCU as a unit — local currency of any country x — added arguments for non-default iso3c and year columns, and made the package work with madrat caching and region mappings. The most recent release fixes a bug in iso3c column selection.
◆ Where it's heading
The direction is toward accepting messier inputs from more callers. Successive releases have relaxed assumptions the package originally made — that a year column exists, that column names follow a convention, that PPP data is available for every country — and each relaxation is driven by an integration rather than by an economics question. The one genuinely methodological addition is the CPI as an alternative deflator, which arrived in 1.0.0.
◆ Prediction
Conversion factors are versioned World Bank data and were last refreshed in 1.0.0, so a data update is the most likely content of the next substantive release, alongside continued fixes to the column-detection logic that has now produced bugs twice.
seriation
0.0ANALYTICS
seriation stopped shipping algorithms and started shipping a way to pick between them.
◆ Current state
seriation finds meaningful orderings for matrices, distance objects and dendrograms, and carries a large registry of methods from classic combinatorial criteria to t-SNE and UMAP embeddings. The 1.5.0 release added a layer above that registry — seriate_best(), seriate_rep() and seriate_improve() — which run randomized methods repeatedly, in parallel, and keep the best result. Recent work is definitional and numeric rather than additive: 1.5.8 corrects the linear seriation criterion to match Hubert and Schultz's original 1976 definition.
◆ Where it's heading
The package has shifted from breadth to judgment. Through 1.3.x the additions were new methods; from 1.5.0 the registry started carrying metadata about the methods — whether they are randomized, what criterion they optimize — so the package could choose and evaluate on the user's behalf. The 1.5.6 replacement of FORTRAN with C for BEA and ME points the same way, reducing the legacy surface underneath that machinery.
◆ Prediction
Further criterion audits are the likeliest next move, since 1.5.8 shows a published definition being reconciled against the implementation and the registry now records what each method optimizes. Expect corrections rather than new seriation algorithms.
Alternatives to GDPuc and seriation
Other Analytics 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 GDPuc or seriation.
geodist
geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.
errors
errors keeps making uncertainty print the way each scientific field expects.
CMAQ
CMAQ went global in v5.5, and has been patching that surface ever since.
enpls
enpls has not changed its statistics since 2016 — only its website, twice.
grex
grex is a lookup table with a version number — it ships when the annotation moves.
See all GDPuc alternatives → · See all seriation alternatives →
Recent activity from GDPuc and seriation
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 8mo agoGDPucFix iso3c column selection
- 8mo agoGDPucxCU unit introduced; madrat caching and region mappings supported
- 0y agoseriationseriation 1.5.8 realigns linear criterion with Hubert and Schultz
- 1y agoseriationseriation 1.5.7 adds BK_unconstrained, handles tiny inputs
- 1y agoGDPucBetter column detection; magclass objects without years accepted
- 1y agoseriationseriation 1.5.6 replaces FORTRAN BEA with C, modernizes allocation
- 2y agoGDPucCPI added as an alternative deflator; constant euro conversion
- 2y agoseriationseriation 1.5.5 digest: AOE method, rep parameter, MDS_angle fix
- 3y agoGDPucSuggests field cleaned for CRAN compliance
- 3y agoseriationseriation 1.5.1 refines pimage, permute and hmap
- 3y agoseriationseriation 1.5.0 adds seriate_best and parallel repeated search ⚡
- 3y agoGDPucCorrect conversion factors returned by return_cfs
Frequently asked questions
What is the difference between GDPuc and seriation?
Both compete on the same themes — r-package — within Analytics. GDPuc and seriation 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 GDPuc better than seriation?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. GDPuc and seriation 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 Analytics products to evaluate alongside.
What are the best alternatives to GDPuc?
Top GDPuc alternatives in Analytics are ranked by recent ship velocity. Browse the "GDPuc alternatives" section above for the current picks, or visit /alternatives/gdpuc-r for the full list with editorial commentary on each.
What are the best alternatives to seriation?
Top seriation alternatives in Analytics are ranked by recent ship velocity. Browse the "seriation alternatives" section above for the current picks, or visit /alternatives/seriation-r for the full list with editorial commentary on each.