← Back to home
Comparison · Analytics

brulee vs crul

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

brulee vs crul: at a glance

Featurebruleecrul
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdeep-learning, tabular-models, torch, tidymodelshttp-client, async, mocking, ropensci
Last editorial update3h ago1h ago
WebsiteVisit →Visit →

What is brulee?

tidymodels' torch backend grew from MLPs into a tabular deep learning suite with foundation models.

brulee fits neural networks for tidymodels on torch, and 1.0.0 redefined what that means: alongside the original MLP it now ships Regularization Learning Networks, ResNet with skip connections and batch normalization, AutoInt with columnwise attention, SAINT with row and column attention, and Chronos2, a foundational forecasting model. GPU acceleration arrived in the same release with automatic CUDA selection and opt-in MPS. Version 1.1.0 added TabICL, an open-source tabular foundation model, and 1.1.1 spent its time cleaning up the consequences of shipping models that need weight downloads.

Read the full brulee trajectory →

What is crul?

crul took mocking back from webmockr and made it a property of the client itself

crul is the R6-based HTTP client underneath much of rOpenSci's package stack, covering synchronous requests, three flavours of async, pagination and retries. Its 1.6.0 release in July 2025 changed where test mocking lives: each client — HttpClient, Async, AsyncVaried — now takes a mocking parameter at initialisation or per method, and the standalone mock() function is deprecated. Mocking used to be something webmockr switched on from outside; it is now a setting on the client.

Read the full crul trajectory →

brulee vs crul: editorial side-by-side

B
brulee
ANALYTICS
0.0

tidymodels' torch backend grew from MLPs into a tabular deep learning suite with foundation models.

◆ Current state

brulee fits neural networks for tidymodels on torch, and 1.0.0 redefined what that means: alongside the original MLP it now ships Regularization Learning Networks, ResNet with skip connections and batch normalization, AutoInt with columnwise attention, SAINT with row and column attention, and Chronos2, a foundational forecasting model. GPU acceleration arrived in the same release with automatic CUDA selection and opt-in MPS. Version 1.1.0 added TabICL, an open-source tabular foundation model, and 1.1.1 spent its time cleaning up the consequences of shipping models that need weight downloads.

◆ Where it's heading

The package has crossed from a torch convenience wrapper into a catalog of current tabular architectures, and the recent releases show it absorbing what that costs. Pretrained weights meant a 400MB download, so 1.1.1 stopped fetching them on attach and moved the cache to the platform-appropriate R_user_dir location. Numerical robustness is the other constant thread — 64-bit tensors, Gaussian initialization, gradient clipping extended architecture by architecture, and a ResNet batch-normalization bug where a single-row trailing batch produced all-NA predictions.

◆ Prediction

Gradient clipping has been rolled out one architecture at a time and TabICL is the newest arrival, so the likely next step is bringing the foundation models to parity with the trained ones on device selection, prediction types, and the tuning surface.

C
crul
ANALYTICS
0.0

crul took mocking back from webmockr and made it a property of the client itself

◆ Current state

crul is the R6-based HTTP client underneath much of rOpenSci's package stack, covering synchronous requests, three flavours of async, pagination and retries. Its 1.6.0 release in July 2025 changed where test mocking lives: each client — HttpClient, Async, AsyncVaried — now takes a mocking parameter at initialisation or per method, and the standalone mock() function is deprecated. Mocking used to be something webmockr switched on from outside; it is now a setting on the client.

◆ Where it's heading

The async surface has been the growth area for years — retries reached Async, AsyncVaried, AsyncQueue and HttpRequest in 1.4, AsyncQueue gained the response accessors in 1.2, and 1.5.0 wired async requests up to webmockr. The 1.6.0 change reverses that direction of dependency, and it landed within a minute of webmockr's own release severing its tie to vcr. Read together, the rOpenSci HTTP stack is being deliberately untangled so each package can be used without the others.

◆ Prediction

With mock() deprecated rather than removed, the next major release is the likely point of deletion. Expect the remaining work to follow the same decoupling theme rather than adding request features.

Alternatives to brulee and crul

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 brulee or crul.

See all brulee alternatives → · See all crul alternatives →

Recent activity from brulee and crul

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

  1. 1mo agobruleeModel weights no longer download on package attach
  2. 1mo agobruleeTabICL foundation model added, gradient clipping extended
  3. 1mo agobruleeFive new architectures and GPU support arrive at 1.0.0
  4. 11mo agobrulee64-bit tensors and new optimizers to stop loss overflow
  5. 1y agocrulMocking becomes a client parameter, independent of webmockr
  6. 1y agobruleeNumerical overflow unit test removed
  7. 1y agobruleebrulee_mlp_two_layer() convenience wrapper for parsnip
  8. 2y agocrulAsync requests become mockable through webmockr
  9. 2y agocrulDocumentation fixes and test helper tweak
  10. 3y agocrulHTTP retries reach the async classes
  11. 3y agocrulClearer error for mismatched urls and disk lengths
  12. 4y agocrulAsyncQueue gains response accessors; results print as a summary

Frequently asked questions

What is the difference between brulee and crul?

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

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

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

What are the best alternatives to crul?

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