metatools
SDTM supplemental-qualifier merging got sturdier, then the package went quiet for two years.
Comparison · Analytics
lobstr vs mlr3extralearners
A side-by-side editorial comparison of lobstr and mlr3extralearners — release velocity, themes, recent moves, and the top alternatives to consider.
lobstr vs mlr3extralearners: at a glance
What is lobstr?
R's object inspector is losing its view of the internals as CRAN closes off the private C API.
lobstr exposes R's internal object representation — sizes, addresses, reference counts, abstract syntax trees. Its two most recent releases are both driven by R's move to a restricted public C API: 1.1.3 stopped reporting a vector's truelength and reworked the reference indicator into refs:n, and 1.2.0 changed what sxp(expand = "environment") shows in order to stay compliant. 1.2.0 also adds src() for exploring srcref objects.
What is mlr3extralearners?
The mlr3 learner catalogue is growing fast and pruning hyperparameters just as deliberately.
mlr3extralearners is the overflow catalogue for mlr3 learners that do not ship in the core packages — currently spanning H2O, Botorch, fastai, glmnet, survival and competing-risks models. The last two feature releases added roughly thirty learners between them. 1.6.0 then went the other way, cutting hyperparameters that were never correctly forwarded.
lobstr vs mlr3extralearners: editorial side-by-side
lobstr
0.0ANALYTICS
R's object inspector is losing its view of the internals as CRAN closes off the private C API.
◆ Current state
lobstr exposes R's internal object representation — sizes, addresses, reference counts, abstract syntax trees. Its two most recent releases are both driven by R's move to a restricted public C API: 1.1.3 stopped reporting a vector's truelength and reworked the reference indicator into refs:n, and 1.2.0 changed what sxp(expand = "environment") shows in order to stay compliant. 1.2.0 also adds src() for exploring srcref objects.
◆ Where it's heading
The package is being rebuilt inside a shrinking window of what R permits. Each release trades some introspection depth for API conformance while trying to keep the diagnostic value intact — showing promise expressions instead of internal frame structures, replacing named with a documented refs scale. Where the constraint does not bite, development continues normally: src() is genuinely new, and the environment-binding fixes remove long-standing errors on for-loop and immediate bindings.
◆ Prediction
Expect further conformance work, since the notes describe it as ongoing, with any remaining non-API-dependent readouts either reworked or dropped as R tightens further.
mlr3extralearners
0.0ANALYTICS
The mlr3 learner catalogue is growing fast and pruning hyperparameters just as deliberately.
◆ Current state
mlr3extralearners is the overflow catalogue for mlr3 learners that do not ship in the core packages — currently spanning H2O, Botorch, fastai, glmnet, survival and competing-risks models. The last two feature releases added roughly thirty learners between them. 1.6.0 then went the other way, cutting hyperparameters that were never correctly forwarded.
◆ Where it's heading
Two forces are visible. The catalogue expands in bursts — 1.4.0 and 1.5.0 each added large batches, including a full H2O family and Bayesian regression models — while the maintenance releases in between are dominated by skipping tests on platforms where Python-backed learners crash. 1.6.0 marks a shift toward correctness of the existing surface: priority_lasso parameter sets reduced to what actually passes through, and Cox-inapplicable glmnet parameters removed.
◆ Prediction
The Python-backed learners are the recurring source of platform instability, so expect continued pinning and test-skipping there alongside the next batch of additions.
Alternatives to lobstr and mlr3extralearners
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 lobstr or mlr3extralearners.
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See all lobstr alternatives → · See all mlr3extralearners alternatives →
Recent activity from lobstr and mlr3extralearners
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agomlr3extralearnersHyperparameter sets pruned where arguments were never forwarded
- 3mo agomlr3extralearnersDependency version updates
- 4mo agomlr3extralearnersPlatform-specific test skips
- 4mo agomlr3extralearnersSixteen new learners, including a full H2O family
- 5mo agolobstrNew src() for srcrefs; environment bindings stop erroring
- 6mo agomlr3extralearnersTwenty new learners and a survival learner rename
- 9mo agolobstrtruelength reporting dropped for public C API compliance ⚡
- 4y agolobstrMoves to cpp11, relicensed MIT, adds experimental tree()
- 7y agolobstrPROTECT error fixed
- 7y agolobstrALTREP sizes computed correctly; obj_addr() stops side-effecting
Frequently asked questions
What is the difference between lobstr and mlr3extralearners?
They serve adjacent needs but don't currently overlap on shipped themes. lobstr and mlr3extralearners 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 lobstr better than mlr3extralearners?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. lobstr and mlr3extralearners 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 lobstr?
Top lobstr alternatives in Analytics are ranked by recent ship velocity. Browse the "lobstr alternatives" section above for the current picks, or visit /alternatives/lobstr for the full list with editorial commentary on each.
What are the best alternatives to mlr3extralearners?
Top mlr3extralearners alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3extralearners alternatives" section above for the current picks, or visit /alternatives/mlr3extralearners for the full list with editorial commentary on each.