← Back to home
Comparison · ai-assistants

ONNX Runtime vs recipes

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

Shared themes:deprecations

ONNX Runtime vs recipes: at a glance

FeatureONNX Runtimerecipes
Sectorai-assistantsai-assistants
Velocity score7.50.0
Sparks · 30d20
Top themesexecution-providers, plugin-architecture, cuda, webgputidymodels, preprocessing, sparse-data, deprecations
Last editorial update1d ago6d ago
WebsiteVisit →Visit →

What is ONNX Runtime?

ONNX Runtime is dismantling itself into plug-ins — CUDA is now the one that ships separately.

ONNX Runtime is running two release tracks at once: the numbered core releases (1.25 through 1.29) and a growing set of separately versioned plug-in execution providers. WebGPU broke out first in May, and CUDA has now followed with its own 0.1.0. The core releases in between are dominated by security hardening, opset upgrades and deprecation notices rather than new capability.

Read the full ONNX Runtime 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 →

ONNX Runtime vs recipes: editorial side-by-side

O
ONNX Runtime
AI-ASSISTANTS
7.5

ONNX Runtime is dismantling itself into plug-ins — CUDA is now the one that ships separately.

◆ Current state

ONNX Runtime is running two release tracks at once: the numbered core releases (1.25 through 1.29) and a growing set of separately versioned plug-in execution providers. WebGPU broke out first in May, and CUDA has now followed with its own 0.1.0. The core releases in between are dominated by security hardening, opset upgrades and deprecation notices rather than new capability.

◆ Where it's heading

The direction is a smaller core binary with accelerators attached at runtime. The 1.26 notes stated the intent outright — CUDA moving to a dedicated execution provider rather than a package shipped from core — and 0.1.0 delivers it, with version-gated callbacks maintaining compatibility back to 1.24.4. Alongside that, the deprecation list keeps growing: CUDA 11, then CUDA 12, WebGL and JSEP, ArmNN, the duktape WGSL generator. Web inference is being consolidated onto WebGPU and native inference onto plug-ins.

◆ Prediction

Expect the plug-in EPs to take over release cadence from the core, with CUDA 12 removed in 1.27 as announced and further backends following WebGPU and CUDA out of the main binary.

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 ONNX Runtime 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 ONNX Runtime or recipes.

See all ONNX Runtime alternatives → · See all recipes alternatives →

Recent activity from ONNX Runtime and recipes

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

  1. 1d agoONNX RuntimeCUDA becomes a standalone plug-in execution provider
  2. 7d agoONNX RuntimeONNX Runtime 1.29 deprecates WebGL and JSEP, adds POSIX telemetry
  3. 7d agoONNX RuntimeONNX Runtime 1.26 adds RISC-V vector support and .ort memory mapping
  4. 20d agoONNX RuntimeWebGPU plug-in: FlashAttention fusions, Qwen3 and Gemma 4 paths
  5. 25d agoONNX RuntimeONNX 1.22 upgrade, slimmer CUDA footprint, experimental C API
  6. 1mo agoONNX RuntimePatch release: QMoE batch-1 decode fast path and fixes
  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 ONNX Runtime and recipes?

Both compete on the same themes — deprecations — within ai-assistants. ONNX Runtime is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 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 ONNX Runtime better than recipes?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ONNX Runtime is currently shipping more aggressively (velocity 7.5 vs 0.0), with 2 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 ONNX Runtime?

Top ONNX Runtime alternatives in ai-assistants are ranked by recent ship velocity. Browse the "ONNX Runtime alternatives" section above for the current picks, or visit /alternatives/onnx-runtime 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.