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Comparison · Analytics
dbplyr vs mlr3measures
A side-by-side editorial comparison of dbplyr and mlr3measures — release velocity, themes, recent moves, and the top alternatives to consider.
dbplyr vs mlr3measures: at a glance
What is dbplyr?
dbplyr ends its two-year backend migration by dropping 1st edition support outright
dbplyr translates dplyr code into SQL, and 2.6.0 closes a migration that has been running since 2023: first-edition backends no longer work at all. The same release converts a long list of soft deprecations into hard failures and removes functions deprecated as far back as 2019. The releases before it were translation-quality work across SQL Server, Redshift, Snowflake, Postgres, Spark and Teradata.
What is mlr3measures?
mlr3measures is systematically retrofitting sample weights across every metric
mlr3measures is the metric library behind mlr3. Recent releases follow two threads: adding measures — linex, pinball, Mu AUC, gmean, gpr, mcc — and retrofitting sample_weights support across the existing ones, reaching AUC and the confusion-matrix family in 1.3.0. Along the way 1.1.0 deprecated four regression measures and corrected the bias definitions.
dbplyr vs mlr3measures: editorial side-by-side
dbplyr
0.0ANALYTICS
dbplyr ends its two-year backend migration by dropping 1st edition support outright
◆ Current state
dbplyr translates dplyr code into SQL, and 2.6.0 closes a migration that has been running since 2023: first-edition backends no longer work at all. The same release converts a long list of soft deprecations into hard failures and removes functions deprecated as far back as 2019. The releases before it were translation-quality work across SQL Server, Redshift, Snowflake, Postgres, Spark and Teradata.
◆ Where it's heading
The package is trading compatibility surface for a smaller, more consistent core it can actually evolve — qualified table names were overhauled in 2.5.0, sql() and ident() were refactored internally, and the cte argument gave way to a single sql_options() entry point. Backend breadth keeps growing at the translation level even as the extension API narrows.
◆ Prediction
With the edition split finally gone, expect the next cycle to spend its budget on dialect translations and the newer Spark/Databricks path rather than on further deprecation.
mlr3measures
0.0ANALYTICS
mlr3measures is systematically retrofitting sample weights across every metric
◆ Current state
mlr3measures is the metric library behind mlr3. Recent releases follow two threads: adding measures — linex, pinball, Mu AUC, gmean, gpr, mcc — and retrofitting sample_weights support across the existing ones, reaching AUC and the confusion-matrix family in 1.3.0. Along the way 1.1.0 deprecated four regression measures and corrected the bias definitions.
◆ Where it's heading
The library is maturing rather than growing: weighted evaluation and observation-wise loss functions are being brought to metrics that already existed, which is what downstream weighted-resampling and per-observation analysis need. The deprecations suggest the maintainers are willing to remove measures they consider ill-defined rather than keep them for compatibility.
◆ Prediction
Expect sample_weights and observation-wise variants to reach the remaining measures that lack them.
Alternatives to dbplyr and mlr3measures
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 dbplyr or mlr3measures.
textrecipes
Text features finally stay sparse all the way to the model.
probably
The package that made calibration a step instead of an afterthought.
workflowsets
workflowsets keeps widening what counts as a model worth comparing.
workflows
The tidymodels pipeline grew a third stage, and it happens after the model runs.
vetiver
Posit's MLOps package went quiet for two years, then came back to keep up with recipes.
See all dbplyr alternatives → · See all mlr3measures alternatives →
Recent activity from dbplyr and mlr3measures
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agodbplyr1st edition backends removed; a wave of deprecations goes defunct ⚡
- 3mo agomlr3measuresWeighted AUC and weighted confusion-matrix measures
- 8mo agomlr3measuresObservation-wise loss for bbrier and logloss
- 11mo agodbplyrDate and aggregate translation fixes across six SQL dialects
- 11mo agomlr3measuresrse, rsq, rrse and rae deprecated; bias measures corrected
- 1y agomlr3measureslinex, pinball and Mu AUC measures added
- 2y agomlr3measuresgmean, gpr and multiclass MCC added
- 2y agodbplyrQualified table names overhauled; I() becomes the simple path
- 2y agodbplyrPreliminary Databricks Spark SQL backend; join fixes
- 2y agodbplyrdbplyr 2.3.4
- 3y agodbplyrdbplyr 2.3.3
- 4y agomlr3measuresObservation-wise loss functions introduced
Frequently asked questions
What is the difference between dbplyr and mlr3measures?
They serve adjacent needs but don't currently overlap on shipped themes. dbplyr and mlr3measures 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 dbplyr better than mlr3measures?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. dbplyr and mlr3measures 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 dbplyr?
Top dbplyr alternatives in Analytics are ranked by recent ship velocity. Browse the "dbplyr alternatives" section above for the current picks, or visit /alternatives/dbplyr for the full list with editorial commentary on each.
What are the best alternatives to mlr3measures?
Top mlr3measures alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3measures alternatives" section above for the current picks, or visit /alternatives/mlr3measures for the full list with editorial commentary on each.