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Comparison · Infra & APIs
eatGADS vs mdatools
A side-by-side editorial comparison of eatGADS and mdatools — release velocity, themes, recent moves, and the top alternatives to consider.
eatGADS vs mdatools: at a glance
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.
What is mdatools?
mdatools spun out its cross-validation method, then came back for three-way data.
mdatools is a long-running chemometrics package covering PCA, PLS regression, SIMCA and DD-SIMCA classification, MCR resolution and a large spectral preprocessing framework. Its releases are infrequent and each one tends to carry one substantive idea plus a handful of fixes. The June release opens a direction the package had not previously taken: DD-SIMCA classification of three-way data, through PARAFAC and Tucker decompositions.
eatGADS vs mdatools: editorial side-by-side
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.
mdatools
0.0INFRA · APIS
mdatools spun out its cross-validation method, then came back for three-way data.
◆ Current state
mdatools is a long-running chemometrics package covering PCA, PLS regression, SIMCA and DD-SIMCA classification, MCR resolution and a large spectral preprocessing framework. Its releases are infrequent and each one tends to carry one substantive idea plus a handful of fixes. The June release opens a direction the package had not previously taken: DD-SIMCA classification of three-way data, through PARAFAC and Tucker decompositions.
◆ Where it's heading
The shape of the package has been managed deliberately rather than allowed to sprawl. Procrustes cross-validation grew large enough to warrant its own package and was moved out to pcv in 0.14.0; preprocessing was consolidated in 0.12.0 into a composable prep() framework rather than a set of loose functions. Around that, the recurring work is numerical: a more stable SIMPLS implementation, cross-validation rewritten to accept user-supplied segment indices, prep.savgol() and prep.alsbasecorr() rewritten for speed, and now the baseline iteration default raised to match the web applications the maintainer also runs.
◆ Prediction
Three-way DD-SIMCA arrives with two decompositions and no companion regression or resolution methods for multiway data, so extending the multiway path to the rest of the toolkit is the obvious follow-up. The alignment of defaults with the maintainer's web applications suggests those two codebases will keep being reconciled.
Alternatives to eatGADS and mdatools
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 eatGADS or mdatools.
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 eatGADS alternatives → · See all mdatools alternatives →
Recent activity from eatGADS and mdatools
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agomdatoolsDD-SIMCA classification arrives for three-way data ⚡
- 5mo agomdatoolsv. 0.15.0
- 1y agoeatGADSValue labels, missings, and recodes go multi-variable
- 1y agoeatGADSTibble import and within-object difference inspection
- 2y agomdatoolsData frames converted to matrices automatically for model training
- 3y agomdatoolscv.scope lets centering and scaling follow the global or local set
- 3y agoeatGADSVariable clone, create, insert, and auto-recode round out the toolkit
- 3y agomdatoolsProcrustes cross-validation moves out to its own pcv package ⚡
- 3y agomdatoolsgetRegcoeffs() fixed for unscaled models; ipls() gains a full mode
Frequently asked questions
What is the difference between eatGADS and mdatools?
They serve adjacent needs but don't currently overlap on shipped themes. eatGADS and mdatools 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 eatGADS better than mdatools?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. eatGADS and mdatools 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 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.
What are the best alternatives to mdatools?
Top mdatools alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "mdatools alternatives" section above for the current picks, or visit /alternatives/mdatools for the full list with editorial commentary on each.