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butcher vs parameters

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

butcher vs parameters: at a glance

Featurebutcherparameters
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestidymodels, model-serialization, memory, r-statseasystats, model-parameters, standardization, mixed-models
Last editorial update6h ago1h ago
WebsiteVisit →Visit →

What is butcher?

butcher expands from trimming models to trimming whole tidymodels workflows

butcher strips the parts of fitted R model objects that bloat serialized size without being needed for prediction, and it grows one method family at a time. The 0.3.x line piled up coverage for MASS, klaR, mixOmics, ipred, survival and xgboost objects; 0.4.0 changes the target from individual models to resampling and tuning containers, and hands maintenance to Max Kuhn.

Read the full butcher trajectory →

What is parameters?

easystats' parameters package absorbs one more model class every few weeks

parameters extracts and formats coefficients from an enormous range of R model objects, and its releases read as a running ledger of that range expanding — lavaan and lavaan.mi, survey, lcmm, glmmTMB, fixest, marginaleffects, ordinal. Recent versions ship roughly monthly with a mix of new support, new arguments, and fixes for label handling and standard errors. The most consequential recent change is behavioral: post-hoc standardization no longer standardizes the intercept, setting it and its inferential statistics to NA.

Read the full parameters trajectory →

butcher vs parameters: editorial side-by-side

B
butcher
ANALYTICS
0.0

butcher expands from trimming models to trimming whole tidymodels workflows

◆ Current state

butcher strips the parts of fitted R model objects that bloat serialized size without being needed for prediction, and it grows one method family at a time. The 0.3.x line piled up coverage for MASS, klaR, mixOmics, ipred, survival and xgboost objects; 0.4.0 changes the target from individual models to resampling and tuning containers, and hands maintenance to Max Kuhn.

◆ Where it's heading

Coverage is following where tidymodels users actually accumulate size — rset, rsplit, tune_results and workflow_set objects are the things that get large in a tuning run, not single fits. The maintainer handoff points the package further into the tidymodels orbit rather than the broad model zoo it started as. Releases are otherwise small and fix-driven.

◆ Prediction

Expect further methods for tidymodels container classes and continued upkeep against xgboost and torch-backed engines; the entries show no move toward automatic size reporting or a different API.

P
parameters
ANALYTICS
0.0

easystats' parameters package absorbs one more model class every few weeks

◆ Current state

parameters extracts and formats coefficients from an enormous range of R model objects, and its releases read as a running ledger of that range expanding — lavaan and lavaan.mi, survey, lcmm, glmmTMB, fixest, marginaleffects, ordinal. Recent versions ship roughly monthly with a mix of new support, new arguments, and fixes for label handling and standard errors. The most consequential recent change is behavioral: post-hoc standardization no longer standardizes the intercept, setting it and its inferential statistics to NA.

◆ Where it's heading

The package's job is to be the universal adapter for model output, so its roadmap is effectively set by what the R modelling ecosystem produces. Two threads are visible beyond coverage: getting standard errors right for awkward cases such as frailty terms and robust vcov matrices, and getting labels right when factors are converted on the fly or character variables appear in a formula. Interoperability inside easystats keeps tightening, with equivalence_test() gaining methods for modelbased objects.

◆ Prediction

Given the cadence, the next release will most likely add another model class alongside label and standard-error fixes rather than change how the package works.

Alternatives to butcher and parameters

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 butcher or parameters.

See all butcher alternatives → · See all parameters alternatives →

Recent activity from butcher and parameters

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

  1. 1mo agoparametersparameters 0.29.2 extends lavaan support and fixes label dropping
  2. 2mo agoparametersparameters 0.29.1 adds a cluster argument and fixes vcov handling
  3. 3mo agoparametersparameters 0.29.0 stops standardizing the intercept in post-hoc methods
  4. 8mo agobutcherMethods for rset, tune_results and workflow_set; new maintainer
  5. 8mo agoparametersparameters 0.28.3 adds Kenward-Roger and Satterthwaite for glmmTMB
  6. 11mo agoparametersparameters 0.28.2 updates tests for the latest fixest release
  7. 11mo agoparametersparameters 0.28.1 adds robust standard errors for glmmTMB
  8. 11mo agobutcherkknn methods no longer remove the call
  9. 1y agobutcherComponent existence check fixed; nestedmodels methods removed
  10. 2y agobutcherbutcher 0.3.4
  11. 2y agobutcherMethods for nestedmodels and mgcv::gam; clearer butchering messages
  12. 3y agobutcherEight new model families gain butcher methods

Frequently asked questions

What is the difference between butcher and parameters?

They serve adjacent needs but don't currently overlap on shipped themes. butcher and parameters 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 butcher better than parameters?

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

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

What are the best alternatives to parameters?

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