mlr3mbo
mlr3mbo picked its defaults from a benchmark study, not from taste
Comparison · Analytics
broom vs easystats
A side-by-side editorial comparison of broom and easystats — release velocity, themes, recent moves, and the top alternatives to consider.
broom vs easystats: at a glance
What is broom?
broom's release calendar is now set by CRAN checks, not by new tidiers.
broom converts model objects from across R's statistical ecosystem into tidy data frames. Four of its last six releases exist purely to resolve R CMD check warnings and errors on r-devel or to absorb upstream package changes. Maintainership passed to Emil Hvitfeldt at 1.0.11.
What is easystats?
The easystats meta-package is install tooling wrapped around a relicensed ecosystem.
easystats is the meta-package for the easystats ecosystem, which spans insight, parameters, performance and their siblings. It ships almost no statistics of its own; its releases add installation helpers, ecosystem introspection functions and vignettes. The consequential release in this window is 0.7.0, which moved the whole ecosystem to an MIT license.
broom vs easystats: editorial side-by-side
broom
0.0ANALYTICS
broom's release calendar is now set by CRAN checks, not by new tidiers.
◆ Current state
broom converts model objects from across R's statistical ecosystem into tidy data frames. Four of its last six releases exist purely to resolve R CMD check warnings and errors on r-devel or to absorb upstream package changes. Maintainership passed to Emil Hvitfeldt at 1.0.11.
◆ Where it's heading
Carrying hundreds of tidier methods for model classes it does not own, broom's workload is dominated by other projects' breaking changes and CRAN's evolving checks. New tidier coverage has largely migrated to the packages that define the models, leaving broom as a compatibility surface.
◆ Prediction
Expect the cadence to stay reactive, with releases triggered by r-devel check failures and upstream API shifts rather than expanded model coverage.
easystats
0.0ANALYTICS
The easystats meta-package is install tooling wrapped around a relicensed ecosystem.
◆ Current state
easystats is the meta-package for the easystats ecosystem, which spans insight, parameters, performance and their siblings. It ships almost no statistics of its own; its releases add installation helpers, ecosystem introspection functions and vignettes. The consequential release in this window is 0.7.0, which moved the whole ecosystem to an MIT license.
◆ Where it's heading
Work concentrates on making the ecosystem legible and installable as a unit: easystats_packages() to enumerate it, easystats_citations() to count its citations, pak and r-universe support to install it, and a complete-workflow vignette to show it in use. Underneath that, 0.7.0 settled the licensing and formalized the author list. The pattern is a project tending its own boundaries rather than adding capability.
◆ Prediction
The recent additions are all introspection and installation helpers, so the next release most likely adds another of those or refreshes component versions rather than changing what the ecosystem does.
Alternatives to broom and easystats
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 broom or easystats.
loo
loo keeps rewriting the diagnostics Bayesian modellers read off model comparison
mlr3fselect
mlr3fselect turned feature selection into an asynchronous, distributable job
lime
lime survives on compatibility patches years after its research moment
mlr3measures
mlr3measures is systematically retrofitting sample weights across every metric
mlr3cluster
mlr3cluster went from a handful of clusterers to covering the field
See all broom alternatives → · See all easystats alternatives →
Recent activity from broom and easystats
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agobroombroom 1.0.13 relocates a test fixture to clear an r-devel warning
- 3mo agobroombroom 1.0.12 tracks renamed summary() output fields
- 8mo agobroombroom 1.0.11 transfers maintainership to Emil Hvitfeldt
- 11mo agobroombroom 1.0.10 clears an r-devel namespacing warning
- 1y agobroombroom 1.0.9 requires R 4.1 and repairs epiR compatibility
- 1y agoeasystatseasystats_citations() added; install_latest() gains a github source
- 1y agobroombroom 1.0.8 fixes cluster-robust intervals, drops orcutt tidiers
- 1y agoeasystatsComplete-workflow vignette added; install_suggested() fix
- 2y agoeasystatseasystats_packages() added; pak used for installs when available
- 2y agoeasystatsR version policy vignette added
- 2y agoeasystatsFix for development package version detection
- 2y agoeasystatsEcosystem relicensed to MIT; two new authors added ⚡
Frequently asked questions
What is the difference between broom and easystats?
They serve adjacent needs but don't currently overlap on shipped themes. broom and easystats 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 broom better than easystats?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. broom and easystats 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 broom?
Top broom alternatives in Analytics are ranked by recent ship velocity. Browse the "broom alternatives" section above for the current picks, or visit /alternatives/broom for the full list with editorial commentary on each.
What are the best alternatives to easystats?
Top easystats alternatives in Analytics are ranked by recent ship velocity. Browse the "easystats alternatives" section above for the current picks, or visit /alternatives/easystats for the full list with editorial commentary on each.