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Comparison · Infra & APIs
cvms vs dataSDA
A side-by-side editorial comparison of cvms and dataSDA — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
cvms vs dataSDA: at a glance
What is cvms?
A cross-validation package whose real development has moved to its plotting function
cvms runs repeated cross-validation over model formulas and reports comparable metrics. The 2.0.0 release was a breaking correctness fix: every function accepting fold_cols mismatched training and testing data when fold indices were non-sequential, did not start at 1, or were strings, because the iteration index was compared against the raw fold value rather than its factor level index. 2.0.1 restored coefficient extraction for nnet::multinom and mixed models by supplying an environment containing the training data, and followed lme4's move of findbars() into the reformulas package.
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.
cvms vs dataSDA: editorial side-by-side
cvms
0.0INFRA · APIS
A cross-validation package whose real development has moved to its plotting function
◆ Current state
cvms runs repeated cross-validation over model formulas and reports comparable metrics. The 2.0.0 release was a breaking correctness fix: every function accepting fold_cols mismatched training and testing data when fold indices were non-sequential, did not start at 1, or were strings, because the iteration index was compared against the raw fold value rather than its factor level index. 2.0.1 restored coefficient extraction for nnet::multinom and mixed models by supplying an environment containing the training data, and followed lme4's move of findbars() into the reformulas package.
◆ Where it's heading
Two threads run in parallel and only one is about cross-validation. The plotting function plot_confusion_matrix() has absorbed most feature work since 1.5.0 - custom gradient palettes, intensity limits, per-tile settings, dynamic font colors keyed to value thresholds, and arguments that accept functions rather than constants - to the point where a companion web application exists for using it without code. The cross-validation core, by contrast, sees maintenance: upstream compatibility fixes for pROC, ggnewscale and ggplot2, and the fold-matching correction that finally forced a major version.
◆ Prediction
Expect continued option growth in the confusion matrix plotting surface, since that is where nearly every release since 1.5.0 has spent its changes, with core cross-validation changes arriving only as upstream packages force them.
dataSDA
2.5INFRA · APIS
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 cvms 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 cvms or dataSDA.
ltertools
A column-key toolkit for stitching decades of ecological field data into one table.
finnts
Microsoft's automated forecasting framework, still mostly a one-maintainer effort.
BayLum
Bayesian luminescence dating that finally replaced its folder-structure input format.
daedalus
An epidemic-economic model teaching its interventions to react to the outbreak itself.
bkmrhat
A parallel-chain helper for bkmr that has settled into pure upkeep.
See all cvms alternatives → · See all dataSDA alternatives →
Recent activity from cvms and dataSDA
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 9d agodataSDACorrects dataset references and citations
- 2mo agodataSDAAdds zero-width interval diagnostics for symbolic data
- 2mo agocvmsCoefficient extraction restored for multinom and mixed models
- 5mo agodataSDAAdds symbolic format converters, CSV I/O, and 11 interval series
- 5mo agodataSDAFixes column metadata for 19 interval datasets
- 5mo agodataSDACompletes format documentation across all 105 datasets
- 5mo agodataSDAAdds 17 datasets from R packages and reference texts
- 9mo agocvmsBreaking fix for mismatched folds with non-sequential fold IDs
- 11mo agocvmsTest compatibility with pROC 1.19 and a deprecation warning fix
- 1y agocvmsConfusion matrix fonts and colors can now be computed from the values
- 1y agocvmsTile intensity by row or column percentages
- 1y agocvmsMultinom coefficient extraction fix after a parameters update
Frequently asked questions
What is the difference between cvms 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 cvms 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 cvms?
Top cvms alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "cvms alternatives" section above for the current picks, or visit /alternatives/cvms 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.