rnaturalearth
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
A side-by-side editorial comparison of desirability2 and taxa — release velocity, themes, recent moves, and the top alternatives to consider.
desirability2 is making multi-metric model selection a first-class tidymodels step.
desirability2 implements desirability functions, which map several metrics onto a common 0-1 scale so they can be combined into a single objective. The package is young: three releases, the first of which only added a NEWS file. Its substance arrived in 0.1.0 with hooks into tidymodels' tune package.
taxa started a ground-up rewrite in 2021 and has published almost nothing since.
0.4.0 began a complete rewrite aimed at making the component classes behave like base R vectors, explicitly shipping without the `taxmap` class and parking the old implementation inside metacoder until the new one matured. Four years later that is still where things stand: 0.4.2 experimented with `''` instead of `NA` for missing values and chased a vctrs test break, and 0.4.4 fixed CRAN check issues. The releases before the rewrite were the productive ones — `taxonomy_table()`, `print_tree()`, `get_dataset()`, fuzzy name matching, faster parsers.
desirability2 implements desirability functions, which map several metrics onto a common 0-1 scale so they can be combined into a single objective. The package is young: three releases, the first of which only added a NEWS file. Its substance arrived in 0.1.0 with hooks into tidymodels' tune package.
The direction is integration rather than standalone use. Version 0.1.0 added select_best_desirability() and show_best_desirability() to resolve a tuning run against several metrics at once; 0.2.0 exported make_desirability_cols() so other packages can build on it and made data-driven limits the default, removing the need to state ranges by hand. Both releases move work from the user into the package.
The exported helper and the developer-facing desirability() API point to adoption by other tidymodels packages as the next step rather than new functionality here.
0.4.0 began a complete rewrite aimed at making the component classes behave like base R vectors, explicitly shipping without the `taxmap` class and parking the old implementation inside metacoder until the new one matured. Four years later that is still where things stand: 0.4.2 experimented with `''` instead of `NA` for missing values and chased a vctrs test break, and 0.4.4 fixed CRAN check issues. The releases before the rewrite were the productive ones — `taxonomy_table()`, `print_tree()`, `get_dataset()`, fuzzy name matching, faster parsers.
The rewrite has not landed. `taxmap`, the class most users came for, was never reimplemented in the new design, and the only releases since are CRAN compliance. Meanwhile metacoder still carries the old taxa, which means the ecosystem is running on the version the rewrite was meant to replace. This reads as a stalled migration rather than an active one.
Nothing in the entries indicates the rewrite is resuming; the likely next release is another CRAN-check fix. Whether `taxmap` ever arrives in the new design is unresolved.
Other Analytics 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 desirability2 or taxa.
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
writexl spent nine years refusing to do formatting, then shipped all of it in 2.0.0.
rgbif is steadily pushing users off paged searching and onto real downloads.
rstanarm is community-maintained now, tracking Stan and lme4 rather than adding models.
rotl's whole release history is keeping name matching honest against a moving taxonomy.
taxize spends its releases absorbing other people's API changes, one dead source at a time.
See all desirability2 alternatives → · See all taxa alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. desirability2 and taxa 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. desirability2 and taxa 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 Analytics products to evaluate alongside.
Top desirability2 alternatives in Analytics are ranked by recent ship velocity. Browse the "desirability2 alternatives" section above for the current picks, or visit /alternatives/desirability2 for the full list with editorial commentary on each.
Top taxa alternatives in Analytics are ranked by recent ship velocity. Browse the "taxa alternatives" section above for the current picks, or visit /alternatives/taxa-r for the full list with editorial commentary on each.