trackeR
Fitness-tracking analysis in slow maintenance, still absorbing upstream breakage.
A side-by-side editorial comparison of BIOMASS and tidyplots — release velocity, themes, recent moves, and the top alternatives to consider.
A tropical-forest biomass staple modernising its geospatial stack without saying so
BIOMASS estimates aboveground biomass and its uncertainty in tropical forests and is well established in that niche. Its public changelog is close to empty: the most recent entry, 2.2.4, is a thirty-four character pointer to the NEWS file. The last release with readable content, 2.1.11, bundled six versions of work whose substantive part was migrating off sp and raster to sf and terra, and from httr to httr2.
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.
BIOMASS estimates aboveground biomass and its uncertainty in tropical forests and is well established in that niche. Its public changelog is close to empty: the most recent entry, 2.2.4, is a thirty-four character pointer to the NEWS file. The last release with readable content, 2.1.11, bundled six versions of work whose substantive part was migrating off sp and raster to sf and terra, and from httr to httr2.
The visible arc is dependency modernisation and CRAN compliance rather than science: retiring sp and raster ahead of their deprecation, failing gracefully when taxonomic services are unreachable, and repeatedly changing taxonomic backend as those services disappeared — taxosaurus to TNRS, then away from Tropicos once it was no longer maintained. The recurring fragility is correctTaxo(), which depends on third-party name resolution outside the maintainers' control.
Expect the next release to be another compliance or dependency response; on this feed's record the release notes will not say what changed, leaving the NEWS file as the only reliable source.
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 BIOMASS or tidyplots.
Fitness-tracking analysis in slow maintenance, still absorbing upstream breakage.
State-panel tooling holding steady since its 2020 data and ergonomics release.
Five years of compiler and CRAN fixes on a capture-recapture package.
A first release that turns meta-analytic heterogeneity into interpretable subgroups.
A meta-analysis toolkit still renaming its own API as it adds effect sizes.
Recurrent-event modelling settles, with mean_no() promoted to stable.
See all BIOMASS 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. BIOMASS 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. BIOMASS 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 BIOMASS alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "BIOMASS alternatives" section above for the current picks, or visit /alternatives/biomass 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.