pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
A side-by-side editorial comparison of ggalign and midr — release velocity, themes, recent moves, and the top alternatives to consider.
Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.
ggalign composes multiple ggplots against a shared observation ordering, covering heatmap annotation, oncoplots, phylogenies and circular layouts. Releases have come roughly monthly through 2025, first completing the layout system, then migrating the internals to S7 and absorbing the ggplot2 4.0 changes. The alignment machinery is now exported for other packages to build on.
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.
ggalign composes multiple ggplots against a shared observation ordering, covering heatmap annotation, oncoplots, phylogenies and circular layouts. Releases have come roughly monthly through 2025, first completing the layout system, then migrating the internals to S7 and absorbing the ggplot2 4.0 changes. The alignment machinery is now exported for other packages to build on.
Two threads run in parallel. One widens what can be aligned, with sector facets, ideograms, image point shapes and observation linking. The other keeps rebuilding the foundation, with the S7 migration, repeated renames toward consistent naming, and the deliberate handing of element_polygon() and element_curve() upstream to ggplot2. The renaming is aggressive enough that each recent release soft-deprecates something.
With the internals on S7 and the Patch object exported, the next step is most likely stabilising those names rather than another refactor.
midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.
The releases move outward along two axes at once: what can be interpreted, and how much of it fits in memory. Version 0.5.3 rebuilt the fitting path to avoid materialising large design matrices and added a save.memory option; 0.6.0 widened the response from a vector to a matrix and added parametric link functions. Class and argument names were shortened in the same release, so the package is still willing to break itself this early.
With multiple models now held in one object and visualisation methods for them, comparison across models is the surface most likely to fill out next — the collection classes exist but the notes describe manipulation and plotting rather than any comparison metric.
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 ggalign or midr.
The protist reference database keeps widening past the rRNA gene it was built on.
Conservation planning absorbs the literature's target-setting rules as code.
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
An ecosystem model starts tracking carbon isotopes and land-use change.
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
Fitness-tracking analysis in slow maintenance, still absorbing upstream breakage.
See all ggalign alternatives → · See all midr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. ggalign and midr 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggalign and midr 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.
Top ggalign alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggalign alternatives" section above for the current picks, or visit /alternatives/ggalign for the full list with editorial commentary on each.
Top midr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "midr alternatives" section above for the current picks, or visit /alternatives/midr for the full list with editorial commentary on each.