pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
A side-by-side editorial comparison of metagroup and tidyplots — release velocity, themes, recent moves, and the top alternatives to consider.
A first release that turns meta-analytic heterogeneity into interpretable subgroups.
metagroup reached CRAN in late August with a complete first release: eight grouping functions covering binary, continuous, correlational, proportion, incidence and generic inverse-variance data, plus interpretation and plotting on top. The two releases since are CRAN review housekeeping. The package has shipped nothing but its launch.
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.
metagroup reached CRAN in late August with a complete first release: eight grouping functions covering binary, continuous, correlational, proportion, incidence and generic inverse-variance data, plus interpretation and plotting on top. The two releases since are CRAN review housekeeping. The package has shipped nothing but its launch.
The design is a two-step pipeline, partitioning studies into homogeneous clusters and then characterising what those clusters have in common, which puts interpretation rather than detection at the centre. The follow-up releases suggest the author is still clearing the CRAN intake process rather than extending the method.
The next substantive release most likely broadens the interpretation side, since the grouping functions already cover the standard effect-size types.
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.
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.
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.
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 metagroup or tidyplots.
The protist reference database keeps widening past the rRNA gene it was built on.
Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.
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.
See all metagroup alternatives → · See all tidyplots alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. metagroup 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. metagroup 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.
Top metagroup alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "metagroup alternatives" section above for the current picks, or visit /alternatives/metagroup for the full list with editorial commentary on each.
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.