rsample
tidymodels' resampling package is retiring its old splitters for sliding windows.
A side-by-side editorial comparison of parsnip and recipes — release velocity, themes, recent moves, and the top alternatives to consider.
parsnip added a whole new regression type, then wired R models to JAX and PyTorch
The package is expanding what tidymodels can express. Version 1.5.0 introduced ordinal_reg() as a new model type with three engines and its own link parameters, and added xgboost and qrnn engines for quantile regression. Version 1.6.0 followed with a keras3 engine for four model types, reaching Keras v3's TensorFlow, JAX and PyTorch backends. Around those, releases have been tuning-parameter range adjustments and engine-specific fixes.
tidymodels' preprocessing engine learned sparsity, then settled into deprecations.
recipes is at 1.3.3, whose entire changelog is one suggested-package declaration. The substantive release in the window is 1.2.0, which taught recipe, prep and bake to work with sparse tibbles and sparse matrices, added a sparse argument to eight dummy and indicator steps, and made seventeen more steps preserve sparsity they receive. Since then the work has been deprecations and bug fixes.
The package is expanding what tidymodels can express. Version 1.5.0 introduced ordinal_reg() as a new model type with three engines and its own link parameters, and added xgboost and qrnn engines for quantile regression. Version 1.6.0 followed with a keras3 engine for four model types, reaching Keras v3's TensorFlow, JAX and PyTorch backends. Around those, releases have been tuning-parameter range adjustments and engine-specific fixes.
Growth is happening on two axes: new modelling tasks that previously had no unified interface, and new engines behind tasks that already did. Both push in the same direction - a modeller specifies the model once and swaps the computational backend underneath, which is the whole premise parsnip is built on. The defunct surv_reg() shows old spellings being retired as that surface settles.
Expect further engines behind ordinal_reg() and quantile regression now that both have a home, and continued retirement of deprecated function names. The keras3 engine's multi-backend design is the obvious candidate to spread to more model types.
recipes is at 1.3.3, whose entire changelog is one suggested-package declaration. The substantive release in the window is 1.2.0, which taught recipe, prep and bake to work with sparse tibbles and sparse matrices, added a sparse argument to eight dummy and indicator steps, and made seventeen more steps preserve sparsity they receive. Since then the work has been deprecations and bug fixes.
The direction is consolidation of a large step catalogue rather than growth. step_select and step_nnmf have entered deprecation, arguments across nine steps moved from strings and vars() calls to bare names, and all steps now require the same four arguments. The sparse work stands as the last structural change; what follows tidies the surface around it.
With step_select mid-deprecation and step_nnmf newly deprecated in favour of step_nnmf_sparse, the next release most likely advances those deprecations rather than adding steps.
Other ai-assistants 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 parsnip or recipes.
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See all parsnip alternatives → · See all recipes alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — tidymodels — within ai-assistants. parsnip and recipes 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. parsnip and recipes 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 ai-assistants products to evaluate alongside.
Top parsnip alternatives in ai-assistants are ranked by recent ship velocity. Browse the "parsnip alternatives" section above for the current picks, or visit /alternatives/parsnip for the full list with editorial commentary on each.
Top recipes alternatives in ai-assistants are ranked by recent ship velocity. Browse the "recipes alternatives" section above for the current picks, or visit /alternatives/recipes for the full list with editorial commentary on each.