pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
A side-by-side editorial comparison of microViz and tidyplots — release velocity, themes, recent moves, and the top alternatives to consider.
Microbiome ordination and visualisation, in maintenance and keeping pace with vegan and ggplot2.
microViz provides visualisation and statistics for microbiome data built on phyloseq, including ordination exploration, distance-based dispersion analysis and composition plots. The release notes are pointer-style entries that name a pull request and link a comparison range rather than describing what changed, so most of what can be established from this feed is cadence and dependency pressure rather than substance. Version 0.13.1 is the exception, naming documentation work on dist_bdisp and its defaults relative to vegan's betadisper.
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.
microViz provides visualisation and statistics for microbiome data built on phyloseq, including ordination exploration, distance-based dispersion analysis and composition plots. The release notes are pointer-style entries that name a pull request and link a comparison range rather than describing what changed, so most of what can be established from this feed is cadence and dependency pressure rather than substance. Version 0.13.1 is the exception, naming documentation work on dist_bdisp and its defaults relative to vegan's betadisper.
Read through the dependency mentions, the pattern is a package spending its releases absorbing changes in the ecosystem beneath it: vegan deprecating summary in favour of scores, cowplot warning under ggplot2 3.5, testthat declarations centralised, CI actions updated. Nothing in the window indicates new analytical capability, and the 0.13.0 minor bump that would be the place to look for it ships with no notes at all. The honest reading is a stable package under maintenance by a single maintainer.
Expect continued upkeep against phyloseq, vegan and ggplot2 changes rather than a feature programme. Because the notes do not describe their own contents, a substantive release here would be indistinguishable from a maintenance one in this feed, so the direction cannot be read from these entries alone.
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 microViz 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 microViz alternatives → · See all tidyplots alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. microViz 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. microViz 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 microViz alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "microViz alternatives" section above for the current picks, or visit /alternatives/microviz 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.