ANALYTICS
mlr3mbo picked its defaults from a benchmark study, not from taste
Alternatives · analytics tools
gutenbergr alternatives
The best gutenbergr alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 13, 2026
Looking for the best alternatives to gutenbergr? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, gutenbergr 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 gutenbergr
gutenbergr has been rebuilt around caching and mirror resilience
gutenbergr downloads Project Gutenberg texts into R. Its recent releases are a sustained reliability push driven largely by one contributor: a download cache with its own function family, mirror discovery with a known-good fallback, a User-Agent string identifying the client, and a section-marker helper. The newest releases are narrow compatibility and duplication fixes on top of that base.
Velocity 0.0 · Last update 1h ago
Top 12 alternatives to gutenbergr
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
The tidymodels pipeline grew a third stage, and it happens after the model runs.
ANALYTICS
Posit's MLOps package went quiet for two years, then came back to keep up with recipes.
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
mlr3measures is systematically retrofitting sample weights across every metric
ANALYTICS
mlr3cluster went from a handful of clusterers to covering the field
ANALYTICS
mlr3filters grows one feature-selection filter at a time
gutenbergr 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 |
|---|---|---|---|---|
| gutenbergr (baseline) | 0.0 | 0 | text-miningr-statscaching | — |
| 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 |
| workflows | 0.0 | 0 | tidymodelspipelinespostprocessing | Workflows gain a postprocessing stage via tailor |
| vetiver | 0.0 | 0 | mlopsmodel-deploymenttidymodels | — |
| 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 | — |
| mlr3measures | 0.0 | 0 | metricsmlr3machine-learning | — |
| mlr3cluster | 0.0 | 0 | clusteringmlr3machine-learning | Nine new clustering learners in one release |
| mlr3filters | 0.0 | 0 | feature-selectionmlr3machine-learning | — |
The 12 best gutenbergr 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 gutenbergr leans on text mining, r stats and caching, mlr3mbo focuses on bayesian optimization, mlr3 and hyperparameter tuning.
mlr3mbo and gutenbergr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
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 gutenbergr leans on text mining, r stats and caching, loo focuses on bayesian, cross validation and stan.
loo and gutenbergr 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 gutenbergr leans on text mining, r stats and caching, comtradr focuses on trade data, api wrapper and un comtrade.
comtradr and gutenbergr 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 gutenbergr 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 gutenbergr leans on text mining, r stats and caching, bbotk focuses on black box optimization, mlr3 and async execution.
bbotk and gutenbergr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. workflows · velocity 0.0
The tidymodels pipeline grew a third stage, and it happens after the model runs.
Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Workflows gain a postprocessing stage via tailor”.
Where gutenbergr leans on text mining, r stats and caching, workflows focuses on tidymodels, pipelines and postprocessing.
workflows and gutenbergr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full workflows trajectory → · Compare gutenbergr vs workflows →
6. vetiver · velocity 0.0
Posit's MLOps package went quiet for two years, then came back to keep up with recipes.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where gutenbergr leans on text mining, r stats and caching, vetiver focuses on mlops, model deployment and tidymodels.
vetiver and gutenbergr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. 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 gutenbergr leans on text mining, r stats and caching, patchwork focuses on ggplot2, composition and tables.
patchwork and gutenbergr 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 gutenbergr vs patchwork →
8. 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 gutenbergr leans on text mining, r stats and caching, mlr3fselect focuses on feature selection, mlr3 and machine learning.
mlr3fselect and gutenbergr 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 gutenbergr vs mlr3fselect →
9. 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 gutenbergr leans on text mining, r stats and caching, lime focuses on interpretability, machine learning and r stats.
lime and gutenbergr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
10. mlr3measures · velocity 0.0
Mlr3measures is systematically retrofitting sample weights across every metric.
Its velocity score of 0.0/10 reflects longer-term release cadence.
Where gutenbergr leans on text mining, r stats and caching, mlr3measures focuses on metrics, mlr3 and machine learning.
mlr3measures and gutenbergr have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full mlr3measures trajectory → · Compare gutenbergr vs mlr3measures →
11. 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 gutenbergr leans on text mining, r stats and caching, mlr3cluster focuses on clustering, mlr3 and machine learning.
mlr3cluster and gutenbergr 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 gutenbergr vs mlr3cluster →
12. 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 gutenbergr leans on text mining, r stats and caching, mlr3filters focuses on feature selection, mlr3 and machine learning.
mlr3filters and gutenbergr 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 gutenbergr vs mlr3filters →
Frequently asked questions
What are the best alternatives to gutenbergr?
The top gutenbergr alternatives we currently track in analytics tools are mlr3mbo, loo, comtradr, bbotk, workflows, ranked by recent ship velocity.
How is this list of gutenbergr alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare gutenbergr directly with one of these alternatives?
Yes — every card has a "Compare with gutenbergr" link to a side-by-side /compare page.