rnaturalearth
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
Comparison · Analytics
taxa vs tidypredict
A side-by-side editorial comparison of taxa and tidypredict — release velocity, themes, recent moves, and the top alternatives to consider.
taxa vs tidypredict: at a glance
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.
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.
taxa vs tidypredict: editorial side-by-side
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.
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 taxa 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 taxa 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.
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 taxa alternatives → · See all tidypredict alternatives →
Recent activity from taxa 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 agotaxataxa 0.4.4 fixes CRAN check issues
- 1y agotidypredicttidypredict 0.5.1 exports internals for the orbital package
- 3y agotidypredicttidypredict 0.5 hands maintenance to a new maintainer
- 4y agotidypredicttidypredict 0.4.9 relicenses to MIT and fixes SQL generation
- 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 taxa and tidypredict?
They serve adjacent needs but don't currently overlap on shipped themes. taxa 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 taxa better than tidypredict?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. taxa 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 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.
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.