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Ollama vs recipes

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

Ollama vs recipes: at a glance

FeatureOllamarecipes
Sectorai-assistantsai-assistants
Velocity score5.00.0
Sparks · 30d00
Top themeslocal-inference, mlx, apple-silicon, desktop-apptidymodels, preprocessing, sparse-data, deprecations
Last editorial update1h ago7d ago
WebsiteVisit →Visit →

What is Ollama?

A release train of small runtime wins between model drops

Ollama is in the gap between model launches, spending its releases on per-request overhead and desktop polish rather than new capability. The v0.32.15 train adds a model metadata cache to cut per-request cost, an onboarding flow for the desktop app, and a temporary MLX-C patch carried in-tree. The substantive model work in this window is still Qwen 3.8 27B at v0.32.12, with its Apple Silicon MLX build.

Read the full Ollama trajectory →

What is recipes?

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.

Read the full recipes trajectory →

Ollama vs recipes: editorial side-by-side

O
Ollama
AI-ASSISTANTS
5.0

A release train of small runtime wins between model drops

◆ Current state

Ollama is in the gap between model launches, spending its releases on per-request overhead and desktop polish rather than new capability. The v0.32.15 train adds a model metadata cache to cut per-request cost, an onboarding flow for the desktop app, and a temporary MLX-C patch carried in-tree. The substantive model work in this window is still Qwen 3.8 27B at v0.32.12, with its Apple Silicon MLX build.

◆ Where it's heading

The shape is consistent: a headline model addition every few weeks, then a run of releases tightening the runtime around it — quantization paths, prefill speed, renderer fixes. Desktop is quietly becoming a first-class surface rather than a wrapper on the CLI, and the MLX path keeps getting hand-tuned for Apple Silicon ahead of the generic backend.

◆ Prediction

Expect the next headline release to be another model addition with a paired MLX build, since that is what four of the last several notable entries look like, with the release-candidate tags continuing to carry the user-visible desktop work ahead of the final tag.

R
recipes
AI-ASSISTANTS
0.0

tidymodels' preprocessing engine learned sparsity, then settled into deprecations.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

Alternatives to Ollama and recipes

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 Ollama or recipes.

See all Ollama alternatives → · See all recipes alternatives →

Recent activity from Ollama and recipes

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

  1. 2h agoOllamaModel metadata cache cuts per-request overhead
  2. 4h agoOllamaDesktop app picks up an onboarding flow
  3. 13h agoOllamaMLX-C patch carried in-tree pending upstream
  4. 3d agoOllamaWebP images accepted; qwen tolerates late system messages
  5. 4d agoOllamaQwen 3.8 27B lands, with an MLX build for Apple Silicon
  6. 5d agoOllamaQwen 3.8 gains developer-instruction support
  7. 2mo agorecipesDeclares mixOmics as a suggested package
  8. 4mo agorecipesstep_nnmf() deprecated in favour of step_nnmf_sparse()
  9. 1y agorecipesFixes tune_args() with tuned parsnip arguments
  10. 1y agorecipesBare-name arguments across nine steps; step_select() deprecated
  11. 1y agorecipesFixes sparsity steps applied to derived variables
  12. 1y agorecipesSparse tibbles and sparse matrices supported end to end

Frequently asked questions

What is the difference between Ollama and recipes?

They serve adjacent needs but don't currently overlap on shipped themes. Ollama is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Ollama better than recipes?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Ollama is currently shipping more aggressively (velocity 5.0 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other ai-assistants products to evaluate alongside.

What are the best alternatives to Ollama?

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

What are the best alternatives to recipes?

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.