ANALYTICS
mlr3mbo picked its defaults from a benchmark study, not from taste
Alternatives · analytics tools
mlr3measures alternatives
The best mlr3measures alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 13, 2026
Looking for the best alternatives to mlr3measures? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, mlr3measures shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About 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.
Velocity 0.0 · Last update 55m ago
Top 12 alternatives to mlr3measures
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
ANALYTICS
loo keeps rewriting the diagnostics Bayesian modellers read off model comparison
ANALYTICS
comtradr's 1.0 line is a long tail of patches against a brittle UN trade API.
ANALYTICS
bbotk is generalizing from an optimizer toolkit into an evaluation framework.
ANALYTICS
patchwork stopped being a ggplot composer and became a page composer.
ANALYTICS
mlr3fselect turned feature selection into an asynchronous, distributable job
ANALYTICS
lime survives on compatibility patches years after its research moment
ANALYTICS
mlr3cluster went from a handful of clusterers to covering the field
ANALYTICS
mlr3filters grows one feature-selection filter at a time
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mlr3learners spends its releases absorbing upstream churn
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gutenbergr has been rebuilt around caching and mirror resilience
ANALYTICS
ggspatial finishes its move off raster and onto terra
mlr3measures vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| mlr3measures (baseline) | 0.0 | 0 | metricsmlr3machine-learning | — |
| mlr3mbo | 2.5 | 0 | bayesian-optimizationmlr3hyperparameter-tuning | mlr3mbo 1.0.0 ships benchmark-derived default settings |
| loo | 2.5 | 0 | bayesiancross-validationstan | loo_compare returns a data.frame with new uncertainty columns |
| comtradr | 2.5 | 0 | trade dataapi wrapperun comtrade | — |
| bbotk | 2.5 | 0 | black-box optimizationmlr3async execution | EvalInstance base class separates evaluation from optimization |
| patchwork | 0.0 | 0 | ggplot2compositiontables | gt tables become first-class patchwork objects |
| mlr3fselect | 0.0 | 0 | feature-selectionmlr3machine-learning | Asynchronous feature selection arrives with FSelectorAsync |
| lime | 0.0 | 0 | interpretabilitymachine-learningr-stats | — |
| mlr3cluster | 0.0 | 0 | clusteringmlr3machine-learning | Nine new clustering learners in one release |
| mlr3filters | 0.0 | 0 | feature-selectionmlr3machine-learning | — |
| mlr3learners | 0.0 | 0 | mlr3machine-learningr-stats | — |
| gutenbergr | 0.0 | 0 | text-miningr-statscaching | — |
| ggspatial | 0.0 | 0 | geospatialggplot2r-stats | — |
The 12 best mlr3measures alternatives, in depth
1. mlr3mbo · velocity 2.5
Mlr3mbo picked its defaults from a benchmark study, not from taste.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “mlr3mbo 1.0.0 ships benchmark-derived default settings”.
Where mlr3measures leans on metrics, mlr3 and machine learning, mlr3mbo focuses on bayesian optimization, mlr3 and hyperparameter tuning.
mlr3mbo and mlr3measures have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full mlr3mbo trajectory → · Compare mlr3measures vs mlr3mbo →
2. loo · velocity 2.5
Loo keeps rewriting the diagnostics Bayesian modellers read off model comparison.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “loo_compare returns a data.frame with new uncertainty columns”.
Where mlr3measures leans on metrics, mlr3 and machine learning, loo focuses on bayesian, cross validation and stan.
loo and mlr3measures have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. comtradr · velocity 2.5
Comtradr's 1.0 line is a long tail of patches against a brittle UN trade API.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where mlr3measures leans on metrics, mlr3 and machine learning, comtradr focuses on trade data, api wrapper and un comtrade.
comtradr and mlr3measures have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full comtradr trajectory → · Compare mlr3measures vs comtradr →
4. bbotk · velocity 2.5
Bbotk is generalizing from an optimizer toolkit into an evaluation framework.
Its velocity score of 2.5/10 reflects longer-term release cadence; its most recent meaningful update was “EvalInstance base class separates evaluation from optimization”.
Where mlr3measures leans on metrics, mlr3 and machine learning, bbotk focuses on black box optimization, mlr3 and async execution.
bbotk and mlr3measures have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. patchwork · velocity 0.0
Patchwork stopped being a ggplot composer and became a page composer.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “gt tables become first-class patchwork objects”.
Where mlr3measures leans on metrics, mlr3 and machine learning, patchwork focuses on ggplot2, composition and tables.
patchwork and mlr3measures have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full patchwork trajectory → · Compare mlr3measures vs patchwork →
6. mlr3fselect · velocity 0.0
Mlr3fselect turned feature selection into an asynchronous, distributable job.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Asynchronous feature selection arrives with FSelectorAsync”.
Where mlr3measures leans on metrics, mlr3 and machine learning, mlr3fselect focuses on feature selection, mlr3 and machine learning.
mlr3fselect and mlr3measures have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full mlr3fselect trajectory → · Compare mlr3measures vs mlr3fselect →
7. lime · velocity 0.0
Lime survives on compatibility patches years after its research moment.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where mlr3measures leans on metrics, mlr3 and machine learning, lime focuses on interpretability, machine learning and r stats.
lime and mlr3measures have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
8. mlr3cluster · velocity 0.0
Mlr3cluster went from a handful of clusterers to covering the field.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Nine new clustering learners in one release”.
Where mlr3measures leans on metrics, mlr3 and machine learning, mlr3cluster focuses on clustering, mlr3 and machine learning.
mlr3cluster and mlr3measures have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full mlr3cluster trajectory → · Compare mlr3measures vs mlr3cluster →
9. mlr3filters · velocity 0.0
Mlr3filters grows one feature-selection filter at a time.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where mlr3measures leans on metrics, mlr3 and machine learning, mlr3filters focuses on feature selection, mlr3 and machine learning.
mlr3filters and mlr3measures have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full mlr3filters trajectory → · Compare mlr3measures vs mlr3filters →
10. mlr3learners · velocity 0.0
Mlr3learners spends its releases absorbing upstream churn.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where mlr3measures leans on metrics, mlr3 and machine learning, mlr3learners focuses on mlr3, machine learning and r stats.
mlr3learners and mlr3measures have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full mlr3learners trajectory → · Compare mlr3measures vs mlr3learners →
11. gutenbergr · velocity 0.0
Gutenbergr has been rebuilt around caching and mirror resilience.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where mlr3measures leans on metrics, mlr3 and machine learning, gutenbergr focuses on text mining, r stats and caching.
gutenbergr and mlr3measures have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full gutenbergr trajectory → · Compare mlr3measures vs gutenbergr →
12. ggspatial · velocity 0.0
Ggspatial finishes its move off raster and onto terra.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where mlr3measures leans on metrics, mlr3 and machine learning, ggspatial focuses on geospatial, ggplot2 and r stats.
ggspatial and mlr3measures have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full ggspatial trajectory → · Compare mlr3measures vs ggspatial →
Frequently asked questions
What are the best alternatives to mlr3measures?
The top mlr3measures alternatives we currently track in analytics tools are mlr3mbo, loo, comtradr, bbotk, patchwork, ranked by recent ship velocity.
How is this list of mlr3measures alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare mlr3measures directly with one of these alternatives?
Yes — every card has a "Compare with mlr3measures" link to a side-by-side /compare page.