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Holistics vs tabnet

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

Holistics vs tabnet: at a glance

FeatureHolisticstabnet
SectorAnalyticsAnalytics
Velocity score5.02.5
Sparks · 30d00
Top themesbusiness-intelligence, ai-governance, analytics-as-code, access-controltabular-deep-learning, torch, tidymodels, parsnip
Last editorial update1d ago4d ago
WebsiteVisit →Visit →

What is Holistics?

Holistics is adding governance to the AI layer it spent the summer building.

Holistics ships small, frequent notes - often one or two sentences - covering three strands at once: AI features in Explore and Chat, as-code control over presentation through AML, and workspace hygiene like file history and dark mode. The August entries turn to the AI layer's edges rather than its capabilities, with an AI user attribute for restricting what the assistant can reach. Several entries are barely a line long, so scope frequently has to be read from the headline.

Read the full Holistics trajectory →

What is tabnet?

A tabular deep-learning model in R that keeps widening what counts as a tabular task.

tabnet ports the TabNet attentive tabular architecture to R on torch, wired into tidymodels through parsnip so it slots into workflows, tuning, and case weights like any other engine. The model surface has grown well past plain supervised fitting: unsupervised pretraining, missing values in predictors, multi-outcome fitting, hierarchical multi-label classification, and built-in explainability via tabnet_explain(). The 0.9.x line has been consolidating rather than adding, with 0.9.0 finally making hierarchical classification work correctly by accounting for the ancestor matrix.

Read the full tabnet trajectory →

Holistics vs tabnet: editorial side-by-side

Holistics logo
Holistics
ANALYTICS
5.0

Holistics is adding governance to the AI layer it spent the summer building.

◆ Current state

Holistics ships small, frequent notes - often one or two sentences - covering three strands at once: AI features in Explore and Chat, as-code control over presentation through AML, and workspace hygiene like file history and dark mode. The August entries turn to the AI layer's edges rather than its capabilities, with an AI user attribute for restricting what the assistant can reach. Several entries are barely a line long, so scope frequently has to be read from the headline.

◆ Where it's heading

The AI work has moved through a recognizable sequence: capability first with chart suggestions, then observability with AI Chat Insights for admins, and now access control with an AI-specific user attribute. Alongside it, Holistics keeps pulling presentation into AML - custom charts, theme palettes, currency formats - so the things analysts used to click are versioned as code. File history is the join between the two threads, giving every dashboard, model, and dataset its own restorable timeline.

◆ Prediction

With capability, visibility, and access control now in place for the AI layer, the next step is likely audit or policy depth - logging what the assistant answered against which data - rather than new AI surfaces.

T
tabnet
ANALYTICS
2.5

A tabular deep-learning model in R that keeps widening what counts as a tabular task.

◆ Current state

tabnet ports the TabNet attentive tabular architecture to R on torch, wired into tidymodels through parsnip so it slots into workflows, tuning, and case weights like any other engine. The model surface has grown well past plain supervised fitting: unsupervised pretraining, missing values in predictors, multi-outcome fitting, hierarchical multi-label classification, and built-in explainability via tabnet_explain(). The 0.9.x line has been consolidating rather than adding, with 0.9.0 finally making hierarchical classification work correctly by accounting for the ancestor matrix.

◆ Where it's heading

Two threads run through the release history. The first is task surface — each minor version tends to admit a class of problem the model previously could not express, from missing data to hierarchy to imbalanced binary outcomes. The second is torch-level performance and correctness, visible in the torch_ignite_adam default that cut pretraining time roughly 30% and the fix for optimizers frozen after checkpointing on cuda and mps. Tidymodels integration is treated as a first-class obligation, with parsnip breaking changes tracked release by release.

◆ Prediction

The hierarchical path is the least finished: 0.5.0 introduced it and 0.9.0 only just made it effective, so the next releases most likely extend evaluation and explainability to hierarchical fits rather than adding another task type.

Alternatives to Holistics and tabnet

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 Holistics or tabnet.

See all Holistics alternatives → · See all tabnet alternatives →

Recent activity from Holistics and tabnet

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

  1. 2d agoHolisticsAI user attribute restricts AI access to sensitive data
  2. 16d agoHolisticsCustom currency and unit formats, per field
  3. 19d agoHolisticsFile history: per-file version timeline and restore
  4. 22d agoHolisticsCustom charts become AML code with GUI authoring
  5. 23d agoHolisticsColor palettes can be assigned at the theme level
  6. 26d agotabnetvip dependency moves to r-universe
  7. 27d agoHolisticsDate-range presets and typed shorthands
  8. 2mo agotabnetHierarchical classification made effective, augment() added
  9. 6mo agotabnetentmax15 and sparsemax15 masks, AUM loss for imbalanced data
  10. 1y agotabnetBugfix release for R 4.5 and dials tuning
  11. 2y agotabnetCase weights and warm-start parameters via parsnip
  12. 2y agotabnetHierarchical multi-label classification via data.tree

Frequently asked questions

What is the difference between Holistics and tabnet?

They serve adjacent needs but don't currently overlap on shipped themes. Holistics is currently shipping more aggressively (velocity 5.0 vs 2.5), 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 Holistics better than tabnet?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Holistics is currently shipping more aggressively (velocity 5.0 vs 2.5), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to Holistics?

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

What are the best alternatives to tabnet?

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