rnaturalearth
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
Comparison · Analytics
ggraph vs rotl
A side-by-side editorial comparison of ggraph and rotl — release velocity, themes, recent moves, and the top alternatives to consider.
ggraph vs rotl: at a glance
What is ggraph?
ggraph has settled into ggplot2 compatibility duty
ggraph provides the grammar of graphics for network and tree data. Its recent releases are compatibility and bug-fix work — a collapse fix in get_edges() alongside ggplot2 v4.0.0 upkeep, and before that a pipe rollback. The last release with real content was 2.2.0, a long list of layout and edge-geom corrections.
What is rotl?
rotl's whole release history is keeping name matching honest against a moving taxonomy.
Nearly every entry concerns `tnrs_match_names()`, the function that maps user-supplied names onto Open Tree taxonomy ids. 3.1.0 changed which taxon wins a multi-way match — highest matching score rather than lowest OTT id, reversing the rule 3.0.4 introduced. 3.0.12 defaulted `context_name` to 'All life' so a context inferred from the first name could not silently skew later ones. 3.0.11 made a total failure to match return an empty tibble with a warning instead of an error. The rest are small fixes tracking Open Tree API changes.
ggraph vs rotl: editorial side-by-side
ggraph
0.0ANALYTICS
ggraph has settled into ggplot2 compatibility duty
◆ Current state
ggraph provides the grammar of graphics for network and tree data. Its recent releases are compatibility and bug-fix work — a collapse fix in get_edges() alongside ggplot2 v4.0.0 upkeep, and before that a pipe rollback. The last release with real content was 2.2.0, a long list of layout and edge-geom corrections.
◆ Where it's heading
The feature surface looks finished and the maintenance is about keeping it working under a moving ggplot2. The one architectural move in this window — pushing dendrogram layout into compiled code to escape R's recursion limits, back in 2.1.0 — was about scaling existing features, not adding new ones.
◆ Prediction
Expect the next release to follow ggplot2 4.0.0 rather than introduce layouts or edge geoms.
rotl
0.0ANALYTICS
rotl's whole release history is keeping name matching honest against a moving taxonomy.
◆ Current state
Nearly every entry concerns `tnrs_match_names()`, the function that maps user-supplied names onto Open Tree taxonomy ids. 3.1.0 changed which taxon wins a multi-way match — highest matching score rather than lowest OTT id, reversing the rule 3.0.4 introduced. 3.0.12 defaulted `context_name` to 'All life' so a context inferred from the first name could not silently skew later ones. 3.0.11 made a total failure to match return an empty tibble with a warning instead of an error. The rest are small fixes tracking Open Tree API changes.
◆ Where it's heading
The recurring problem is ambiguity: names match several taxa, and the package has changed its tie-breaking rule twice while making failures and edge cases return predictable objects rather than errors. Nothing here expands what rotl can retrieve; it makes what it retrieves reproducible. The feed also stops in mid-2023, so the package appears dormant.
◆ Prediction
Nothing in the window suggests new capability. If a release comes, the pattern says it will follow an Open Tree API change or another matching-behaviour correction.
Alternatives to ggraph and rotl
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 ggraph or rotl.
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.
taxa
taxa started a ground-up rewrite in 2021 and has published almost nothing since.
taxize
taxize spends its releases absorbing other people's API changes, one dead source at a time.
Recent activity from ggraph and rotl
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 11mo agoggraphget_edges() collapse fix and ggplot2 v4 upkeep
- 2y agoggraphNative pipe usage rolled back
- 2y agoggraphLayout precision and edge geom fixes across the package
- 3y agorotlrotl 3.1.0 matches on score instead of lowest OTT id
- 3y agoggraphBinned edge scales and compiled dendrogram layouts
- 4y agorotlrotl 3.0.12 defaults matching context to All life
- 5y agoggraphC++11 pinned to fix std::random_shuffle deprecation
- 5y agoggraphFaceting and edge geom bug fixes
- 5y agorotlrotl 3.0.11 returns empty tibble when no names match
- 6y agorotlrotl 3.0.10 tracks Open Tree API updates
- 7y agorotlrotl 3.0.9 tracks Open Tree API updates
- 7y agorotlrotl 3.0.7 updates vignette for TNRS endpoint change
Frequently asked questions
What is the difference between ggraph and rotl?
They serve adjacent needs but don't currently overlap on shipped themes. ggraph and rotl 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 ggraph better than rotl?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggraph and rotl 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 ggraph?
Top ggraph alternatives in Analytics are ranked by recent ship velocity. Browse the "ggraph alternatives" section above for the current picks, or visit /alternatives/ggraph for the full list with editorial commentary on each.
What are the best alternatives to rotl?
Top rotl alternatives in Analytics are ranked by recent ship velocity. Browse the "rotl alternatives" section above for the current picks, or visit /alternatives/rotl for the full list with editorial commentary on each.