ggprism
A Prism-styled ggplot2 theme in maintenance, now surviving ggplot2 4.0.
Comparison · Infra & APIs
mdatools vs tidyplots
A side-by-side editorial comparison of mdatools and tidyplots — release velocity, themes, recent moves, and the top alternatives to consider.
mdatools vs tidyplots: at a glance
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.
What is tidyplots?
tidyplots keeps rebuilding its own foundations rather than layering around them.
tidyplots wraps ggplot2 in a pipe-driven API aimed at publication-ready scientific figures, trading grammar-of-graphics flexibility for a shorter path to a finished plot. It is at 0.4.0 after two years of frequent releases, and almost every one carries a breaking change — the most recent moved multi-panel layout off patchwork and onto ggplot2's own faceting. Statistical annotation, colour schemes and size control have each been reworked at least once.
mdatools vs tidyplots: editorial side-by-side
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.
tidyplots
0.0INFRA · APIS
tidyplots keeps rebuilding its own foundations rather than layering around them.
◆ Current state
tidyplots wraps ggplot2 in a pipe-driven API aimed at publication-ready scientific figures, trading grammar-of-graphics flexibility for a shorter path to a finished plot. It is at 0.4.0 after two years of frequent releases, and almost every one carries a breaking change — the most recent moved multi-panel layout off patchwork and onto ggplot2's own faceting. Statistical annotation, colour schemes and size control have each been reworked at least once.
◆ Where it's heading
The package is converging on ggplot2 rather than abstracting away from it: split_plot() now uses facet_wrap and facet_grid, as_tidyplot() was hard-deprecated on the grounds that converting a ggplot was never a good idea, and releases are timed against upstream ggplot2 versions. The other constant is the statistics surface, which has grown from basic error bars to paired and selected comparisons. Breaking changes are announced plainly and frequently, consistent with a package using 0.x to fix its shape before committing.
◆ Prediction
The patchwork removal is described as something that will eventually break dependent code, so the near-term work is likely completing that migration and settling the split_plot() parameters introduced alongside it. A 1.0 would signal the breaking-change cadence is ending, and nothing here indicates that yet.
Alternatives to mdatools and tidyplots
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 mdatools or tidyplots.
TrendLSW
Wavelet trend estimation tightens the defaults it shipped with.
mmpca
Back from CRAN removal under a new maintainer, with the compiled layer rebuilt.
mice
mice can finally predict, not just estimate, from multiply imputed data.
PINstimation
A market-microstructure toolkit that keeps adding estimators as the papers land.
nzilbb.vowels
A vowel-analysis package trimming dependencies after an email address got it archived.
See all mdatools alternatives → · See all tidyplots alternatives →
Recent activity from mdatools and tidyplots
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agomdatoolsDD-SIMCA classification arrives for three-way data ⚡
- 5mo agomdatoolsv. 0.15.0
- 7mo agotidyplotstidyplots 0.4.0
- 1y agotidyplotstidyplots 0.3.1
- 1y agotidyplotstidyplots 0.2.2
- 1y agotidyplotstidyplots 0.2.1
- 1y agotidyplotstidyplots 0.2.0
- 1y agotidyplotstidyplots 0.1.2
- 2y agomdatoolsData frames converted to matrices automatically for model training
- 3y agomdatoolscv.scope lets centering and scaling follow the global or local set
- 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 mdatools and tidyplots?
They serve adjacent needs but don't currently overlap on shipped themes. mdatools and tidyplots 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 mdatools better than tidyplots?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mdatools and tidyplots 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 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.
What are the best alternatives to tidyplots?
Top tidyplots alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "tidyplots alternatives" section above for the current picks, or visit /alternatives/tidyplots for the full list with editorial commentary on each.