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broom vs cmdstanr

A side-by-side editorial comparison of broom and cmdstanr — release velocity, themes, recent moves, and the top alternatives to consider.

broom vs cmdstanr: at a glance

Featurebroomcmdstanr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, tidy-models, statistics, cran-compliancebayesian inference, stan, approximate inference, windows toolchain
Last editorial update4h ago1h ago
WebsiteVisit →Visit →

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.

Read the full broom trajectory →

What is cmdstanr?

cmdstanr keeps adding fast approximations beside full HMC, and fighting Windows toolchains.

cmdstanr is the lightweight R interface to CmdStan, shelling out to the Stan binary rather than embedding it. The visible releases pair inference-method expansion, with laplace and pathfinder arriving in 0.7.0, against a continuous effort to make installation work on Windows. The most recent releases are dominated by CmdStan version compatibility and numerical fixes in the loo path.

Read the full cmdstanr trajectory →

broom vs cmdstanr: editorial side-by-side

B
broom
ANALYTICS
0.0

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.

C
cmdstanr
ANALYTICS
0.0

cmdstanr keeps adding fast approximations beside full HMC, and fighting Windows toolchains.

◆ Current state

cmdstanr is the lightweight R interface to CmdStan, shelling out to the Stan binary rather than embedding it. The visible releases pair inference-method expansion, with laplace and pathfinder arriving in 0.7.0, against a continuous effort to make installation work on Windows. The most recent releases are dominated by CmdStan version compatibility and numerical fixes in the loo path.

◆ Where it's heading

The package tracks CmdStan closely, and its own work concentrates in two places. One is broadening the method surface so approximate inference sits beside sampling on the same object, extended in 0.8.0 by letting a completed fit supply initial values for the next run. The other is cutting installation friction, which reaches its conclusion in 0.9.0 with RTools45 supported and no additional toolchain setup needed on Windows. Dependency trimming, such as dropping RcppEigen for direct Eigen interop, runs alongside both.

◆ Prediction

The cadence is a CmdStan release followed by a compatibility release here, so expect the next to track a newer CmdStan and continue the effective-sample-size numerical work in the loo method.

Alternatives to broom and cmdstanr

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 cmdstanr.

See all broom alternatives → · See all cmdstanr alternatives →

Recent activity from broom and cmdstanr

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 3mo agobroombroom 1.0.13 relocates a test fixture to clear an r-devel warning
  2. 3mo agobroombroom 1.0.12 tracks renamed summary() output fields
  3. 4mo agocmdstanrRTools45 support; Windows needs no extra toolchain setup
  4. 4mo agocmdstanrBugfix release: SUNDIALS linking, Windows paths, RTools
  5. 4mo agocmdstanrCmdStanFit objects usable as initial values; RcppEigen dropped
  6. 8mo agobroombroom 1.0.11 transfers maintainership to Emil Hvitfeldt
  7. 11mo agobroombroom 1.0.10 clears an r-devel namespacing warning
  8. 1y agobroombroom 1.0.9 requires R 4.1 and repairs epiR compatibility
  9. 1y agobroombroom 1.0.8 fixes cluster-robust intervals, drops orcutt tidiers
  10. 2y agocmdstanrBugfix release with dedicated hpp generation step
  11. 2y agocmdstanrLaplace and Pathfinder inference methods added
  12. 2y agocmdstanrjacobian argument enabled for optimization; assorted fixes

Frequently asked questions

What is the difference between broom and cmdstanr?

They serve adjacent needs but don't currently overlap on shipped themes. broom and cmdstanr 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 cmdstanr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. broom and cmdstanr 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 cmdstanr?

Top cmdstanr alternatives in Analytics are ranked by recent ship velocity. Browse the "cmdstanr alternatives" section above for the current picks, or visit /alternatives/cmdstanr for the full list with editorial commentary on each.