rnaturalearth
rnaturalearth finished its sp exit and is now optimising how the data actually arrives.
Comparison · Analytics
mlr3learners vs taxize
A side-by-side editorial comparison of mlr3learners and taxize — release velocity, themes, recent moves, and the top alternatives to consider.
mlr3learners vs taxize: at a glance
What is mlr3learners?
mlr3learners spends its releases absorbing upstream churn
mlr3learners wraps the standard model packages — ranger, xgboost, glmnet, kknn — for mlr3. Its recent history is dominated by upstream events rather than its own plans: kknn was pulled from CRAN and its learners removed in 0.11.0, then restored in 0.12.0 when the package returned. The newest release absorbs glmnet 5.0 while adding a predict_raw flag across all learners and probit support to logistic regression.
What is taxize?
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`.
mlr3learners vs taxize: editorial side-by-side
mlr3learners
0.0ANALYTICS
mlr3learners spends its releases absorbing upstream churn
◆ Current state
mlr3learners wraps the standard model packages — ranger, xgboost, glmnet, kknn — for mlr3. Its recent history is dominated by upstream events rather than its own plans: kknn was pulled from CRAN and its learners removed in 0.11.0, then restored in 0.12.0 when the package returned. The newest release absorbs glmnet 5.0 while adding a predict_raw flag across all learners and probit support to logistic regression.
◆ Where it's heading
The package's job is insulation, and the changelog shows what that costs — compatibility-only releases interleaved with small capability additions that expose more of each upstream model. The direction of travel is toward giving users access to the raw upstream objects rather than hiding them.
◆ Prediction
Expect the next release to track another upstream version bump, with incremental exposure of learner-specific fields continuing alongside.
taxize
0.0ANALYTICS
taxize spends its releases absorbing other people's API changes, one dead source at a time.
◆ Current state
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`.
◆ Where it's heading
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.
◆ Prediction
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.
Alternatives to mlr3learners and taxize
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 mlr3learners or taxize.
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.
rotl
rotl's whole release history is keeping name matching honest against a moving taxonomy.
See all mlr3learners alternatives → · See all taxize alternatives →
Recent activity from mlr3learners and taxize
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agomlr3learnerspredict_raw across all learners, plus probit and ranger internals
- 5mo agotaxizetaxize 0.10.1 lowers gna_verifier batch size
- 8mo agomlr3learnersxgboost 3.1.2.1 compatibility
- 9mo agomlr3learnersUncertainty estimation methods for ranger regression
- 10mo agomlr3learnersDevelopment snapshot: LDA test adjustment
- 1y agomlr3learnerskknn learners restored after returning to CRAN
- 1y agomlr3learnerskknn learners removed after CRAN archival
- 1y agotaxizetaxize 0.10.0 migrates to GNA and the new rredlist API
- 5y agotaxizetaxize 0.9.99 retires tnrs(), paginates WORMS queries
- 5y agotaxizetaxize 0.9.98 adds NCBI and zoological rank names
- 6y agotaxizetaxize 0.9.97 standardises parameter names package-wide
- 6y agotaxizetaxize 0.9.96 updates NatureServe for its new API
Frequently asked questions
What is the difference between mlr3learners and taxize?
They serve adjacent needs but don't currently overlap on shipped themes. mlr3learners 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.
Is mlr3learners better than taxize?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. mlr3learners 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.
What are the best alternatives to mlr3learners?
Top mlr3learners alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3learners alternatives" section above for the current picks, or visit /alternatives/mlr3learners for the full list with editorial commentary on each.
What are the best alternatives to taxize?
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.