rnaturalearth
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
Comparison · Analytics
patchwork vs taxa
A side-by-side editorial comparison of patchwork and taxa — release velocity, themes, recent moves, and the top alternatives to consider.
patchwork vs taxa: at a glance
What is patchwork?
patchwork stopped being a ggplot composer and became a page composer.
patchwork assembles plots into compositions with arithmetic operators, and the 1.x line has steadily hardened that grammar: guide and axis collection, free() to exempt a plot from alignment, inset_element() for overlays, and list-like behaviour so lapply() and length() work on a patchwork. Version 1.3.0 added native gt table support. The two releases since are a load-time warning fix and a compatibility pass for the next ggplot2 release.
What is taxa?
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.
patchwork vs taxa: editorial side-by-side
patchwork
0.0ANALYTICS
patchwork stopped being a ggplot composer and became a page composer.
◆ Current state
patchwork assembles plots into compositions with arithmetic operators, and the 1.x line has steadily hardened that grammar: guide and axis collection, free() to exempt a plot from alignment, inset_element() for overlays, and list-like behaviour so lapply() and length() work on a patchwork. Version 1.3.0 added native gt table support. The two releases since are a load-time warning fix and a compatibility pass for the next ggplot2 release.
◆ Where it's heading
The centre of gravity is shifting from alignment mechanics to composition scope. Early releases were almost entirely bug fixes against grid and ggplot2 internals — strip placement, fixed aspect ratios, guide merging. Recent ones add object types and escape hatches instead. Between feature cycles the package is in maintenance defined by ggplot2's release calendar, which is what 1.3.1 is in its entirety.
◆ Prediction
Expect wrap_table() to grow beyond gt to other table objects, and expect the next substantive release to be triggered by a ggplot2 internals change rather than by a patchwork roadmap.
taxa
0.0ANALYTICS
taxa started a ground-up rewrite in 2021 and has published almost nothing since.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Alternatives to patchwork and taxa
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 patchwork or taxa.
writexl
writexl spent nine years refusing to do formatting, then shipped all of it in 2.0.0.
rgbif
rgbif is steadily pushing users off paged searching and onto real downloads.
rstanarm
rstanarm is community-maintained now, tracking Stan and lme4 rather than adding models.
rotl
rotl's whole release history is keeping name matching honest against a moving taxonomy.
taxize
taxize spends its releases absorbing other people's API changes, one dead source at a time.
See all patchwork alternatives → · See all taxa alternatives →
Recent activity from patchwork and taxa
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11mo agopatchworkFix spurious load-time warnings
- 1y agotaxataxa 0.4.4 fixes CRAN check issues
- 1y agopatchworkCompatibility pass for the next ggplot2 release
- 1y agopatchworkgt tables become first-class patchwork objects ⚡
- 2y agopatchworkAxis collection and free() arrive
- 3y agopatchworkPatchworks behave like lists; NULL becomes a no-op
- 3y agopatchworkClearer error when plotting space is too small
- 4y agotaxataxa 0.4.2 tries empty strings for missing values
- 5y agotaxataxa 0.4.0 begins a base-R-vector rewrite without taxmap ⚡
- 6y agotaxataxa 0.3.4 fixes n_obs with numeric column names
- 6y agotaxataxa 0.3.3 supports numeric column names in taxmap
- 7y agotaxataxa 0.3.2 fixes parsers and adds negative class_col indexes
Frequently asked questions
What is the difference between patchwork and taxa?
They serve adjacent needs but don't currently overlap on shipped themes. patchwork 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.
Is patchwork better than taxa?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. patchwork 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.
What are the best alternatives to patchwork?
Top patchwork alternatives in Analytics are ranked by recent ship velocity. Browse the "patchwork alternatives" section above for the current picks, or visit /alternatives/patchwork for the full list with editorial commentary on each.
What are the best alternatives to taxa?
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.