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brulee vs rlistings

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

brulee vs rlistings: at a glance

Featurebruleerlistings
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdeep-learning, tabular-models, torch, tidymodelsclinical-trials, listings, pagination, r-package
Last editorial update4h 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 rlistings?

Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.

rlistings renders clinical-trial subject listings and paginates them for regulatory output, sitting alongside rtables on the shared formatters engine. The releases in this window are dominated by pagination correctness: repeated key columns across pages, splitting by a variable, ordered-factor handling, column gaps, and font metrics. Development is a large rotating contributor set inside the insightsengineering organisation.

Read the full rlistings trajectory →

brulee vs rlistings: 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.

R
rlistings
ANALYTICS
0.0

Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.

◆ Current state

rlistings renders clinical-trial subject listings and paginates them for regulatory output, sitting alongside rtables on the shared formatters engine. The releases in this window are dominated by pagination correctness: repeated key columns across pages, splitting by a variable, ordered-factor handling, column gaps, and font metrics. Development is a large rotating contributor set inside the insightsengineering organisation.

◆ Where it's heading

The package is progressively delegating pagination to formatters rather than implementing it — paginate_listing() was refactored to call formatters' paginate_to_mpfs() directly, and truetype font support arrived through a new formatters API. That reduces duplicated logic but ties the package's page-break behaviour to a dependency it shares with rtables. Feature work beyond pagination is thin: better error messages for unsupported column classes, a cheatsheet.

◆ Prediction

Expect pagination fidelity to remain the focus, with changes arriving as formatters exposes more of its layout machinery rather than as rlistings-native features.

Alternatives to brulee and rlistings

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 rlistings.

See all brulee alternatives → · See all rlistings alternatives →

Recent activity from brulee and rlistings

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 agobruleeNumerical overflow unit test removed
  6. 1y agobruleebrulee_mlp_two_layer() convenience wrapper for parsnip
  7. 1y agorlistingsError and message handling for difftime and zero-row listings
  8. 1y agorlistingsTrueType font support and col_gap in pagination
  9. 2y agorlistingssplit_into_pages_by_var() and pagination moved onto formatters

Frequently asked questions

What is the difference between brulee and rlistings?

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

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

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