rnaturalearth
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
A side-by-side editorial comparison of scales and taxize — release velocity, themes, recent moves, and the top alternatives to consider.
scales keeps widening what ggplot2 can put on an axis.
scales supplies the breaks, labels and transformations behind ggplot2's axes and legends. Unlike much of the tidyverse infrastructure around it, it still ships genuine feature work each release: native timespan handling in 1.3.0, then custom range-training classes and label_glue() in 1.4.0.
taxize spends its releases absorbing other people's API changes, one dead source at a time.
The most recent work is migration: 0.10.0 replaced the deprecated Global Names Resolver functions with GNA equivalents (`gna_verifier`, `gna_parse`), rewrote `scrapenames` for the new API, and updated its rredlist usage to match that package's own v4 rewrite. 0.10.1 then tuned `gna_verifier`'s batch size to 50. The older entries in the window show the same shape from a different angle: `tnrs()` made defunct because the service died, COL dropped over rate limiting, NatureServe reworked for a new API, and a package-wide parameter rename to `sci` / `com` / `id` / `sci_com` / `sci_id`.
scales supplies the breaks, labels and transformations behind ggplot2's axes and legends. Unlike much of the tidyverse infrastructure around it, it still ships genuine feature work each release: native timespan handling in 1.3.0, then custom range-training classes and label_glue() in 1.4.0.
The arc runs toward extensibility and type coverage. First came built-in support for awkward types like difftime and hms; 1.4.0 inverts that by letting any third-party class participate in range training simply by implementing range() or levels(). Labelling is getting more expressive rather than merely more numerous.
Expect continued type-support and labelling work, with extension points that let downstream packages plug in their own classes instead of scales enumerating every one.
The most recent work is migration: 0.10.0 replaced the deprecated Global Names Resolver functions with GNA equivalents (`gna_verifier`, `gna_parse`), rewrote `scrapenames` for the new API, and updated its rredlist usage to match that package's own v4 rewrite. 0.10.1 then tuned `gna_verifier`'s batch size to 50. The older entries in the window show the same shape from a different angle: `tnrs()` made defunct because the service died, COL dropped over rate limiting, NatureServe reworked for a new API, and a package-wide parameter rename to `sci` / `com` / `id` / `sci_com` / `sci_id`.
taxize's job is aggregating a dozen taxonomic databases, so most of its engineering is downstream of decisions it does not control — sources go away, endpoints change, rate limits appear. The visible trend is consolidation: fewer, better-maintained backends rather than broader coverage. Release cadence has thinned to roughly one a year, and the rredlist coupling means it now inherits that package's breaking changes too.
Expect the next release to track another upstream source change rather than add new databases; the deprecated-parameter aliases from the 0.9.97 rename are also overdue for removal.
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 scales or taxize.
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.
taxa started a ground-up rewrite in 2021 and has published almost nothing since.
rotl's whole release history is keeping name matching honest against a moving taxonomy.
See all scales alternatives → · See all taxize alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. scales and taxize 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. scales and taxize 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 scales alternatives in Analytics are ranked by recent ship velocity. Browse the "scales alternatives" section above for the current picks, or visit /alternatives/scales-r for the full list with editorial commentary on each.
Top taxize alternatives in Analytics are ranked by recent ship velocity. Browse the "taxize alternatives" section above for the current picks, or visit /alternatives/taxize for the full list with editorial commentary on each.