rnaturalearth
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
Comparison · Analytics
rotl vs tidypredict
A side-by-side editorial comparison of rotl and tidypredict — release velocity, themes, recent moves, and the top alternatives to consider.
rotl vs tidypredict: at a glance
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.
What is tidypredict?
tidypredict now translates the gradient-boosting libraries people actually deploy
tidypredict converts fitted R models into SQL and dplyr expressions so predictions can run inside a database instead of in R. The 1.1.0 release added rpart, CatBoost, and LightGBM, with full objective and tree-type coverage for the boosted models. That followed 1.0.0, which broke random-forest output into a single formula, added glmnet, and cut fit-translation time for xgboost, partykit, and ranger.
rotl vs tidypredict: editorial side-by-side
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.
tidypredict
0.0ANALYTICS
tidypredict now translates the gradient-boosting libraries people actually deploy
◆ Current state
tidypredict converts fitted R models into SQL and dplyr expressions so predictions can run inside a database instead of in R. The 1.1.0 release added rpart, CatBoost, and LightGBM, with full objective and tree-type coverage for the boosted models. That followed 1.0.0, which broke random-forest output into a single formula, added glmnet, and cut fit-translation time for xgboost, partykit, and ranger.
◆ Where it's heading
The package's value scales directly with how many model types it can translate, and the recent work has concentrated on the tree ensembles that dominate tabular modelling in practice. Coverage now extends past what parsnip wraps, since raw CatBoost models are supported alongside parsnip and bonsai ones with an explicit escape hatch for categorical features. Performance work on the translation step suggests the models being converted have grown large enough for that to matter.
◆ Prediction
With the major boosting libraries covered, the remaining gap is what happens to preprocessing, so tighter integration with recipes or orbital for translating whole workflows is the natural next step.
Alternatives to rotl and tidypredict
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 rotl or tidypredict.
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.
See all rotl alternatives → · See all tidypredict alternatives →
Recent activity from rotl and tidypredict
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5mo agotidypredicttidypredict 1.1.0 adds CatBoost, LightGBM, and rpart support ⚡
- 8mo agotidypredicttidypredict 1.0.1 fixes base_score extraction for xgboost 3
- 8mo agotidypredicttidypredict 1.0.0 unifies random forest output and adds glmnet
- 1y agotidypredicttidypredict 0.5.1 exports internals for the orbital package
- 3y agorotlrotl 3.1.0 matches on score instead of lowest OTT id
- 3y agotidypredicttidypredict 0.5 hands maintenance to a new maintainer
- 4y agotidypredicttidypredict 0.4.9 relicenses to MIT and fixes SQL generation
- 4y agorotlrotl 3.0.12 defaults matching context to All life
- 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 rotl and tidypredict?
They serve adjacent needs but don't currently overlap on shipped themes. rotl and tidypredict 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 rotl better than tidypredict?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rotl and tidypredict 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 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.
What are the best alternatives to tidypredict?
Top tidypredict alternatives in Analytics are ranked by recent ship velocity. Browse the "tidypredict alternatives" section above for the current picks, or visit /alternatives/tidypredict for the full list with editorial commentary on each.