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Comparison · Analytics

Holistics vs hstats

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

Holistics vs hstats: at a glance

FeatureHolisticshstats
SectorAnalyticsAnalytics
Velocity score5.00.0
Sparks · 30d00
Top themesbusiness-intelligence, ai-governance, data-redaction, analytics-as-codeinteraction statistics, partial dependence, model explainability, r package
Last editorial update13h ago4d ago
WebsiteVisit →Visit →

What is Holistics?

Holistics keeps fencing in the AI layer it spent the summer building.

Holistics ships small, frequent notes - often one or two sentences - across three strands: AI features in Explore and Chat, as-code control of presentation through AML, and workspace hygiene like file history and dark mode. The August entries are entirely about the AI layer's edges rather than its capabilities: an AI user attribute for restricting what the assistant can reach, and now redaction of the data it is allowed to see. Bodies are frequently a single line, so scope has to be read from the headline and the release-note URL.

Read the full Holistics trajectory →

What is hstats?

hstats settled into maintenance after its 1.0 restructuring, with model coverage the only thing still growing.

hstats computes Friedman's H-statistics, partial dependence, ICE curves and permutation importance for any model exposing a prediction function. The releases in view are consolidation: performance work on plain data.frames, ICE facetting for multioutput models, ranger survival support, and a ggplot 4.0 compatibility pass in 2025. The package moved to the ModelOriented organisation in 1.2.0.

Read the full hstats trajectory →

Holistics vs hstats: editorial side-by-side

Holistics logo
Holistics
ANALYTICS
5.0

Holistics keeps fencing in the AI layer it spent the summer building.

◆ Current state

Holistics ships small, frequent notes - often one or two sentences - across three strands: AI features in Explore and Chat, as-code control of presentation through AML, and workspace hygiene like file history and dark mode. The August entries are entirely about the AI layer's edges rather than its capabilities: an AI user attribute for restricting what the assistant can reach, and now redaction of the data it is allowed to see. Bodies are frequently a single line, so scope has to be read from the headline and the release-note URL.

◆ 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, then access control with an AI-specific user attribute, and now field-level redaction. Access control decides which rows the assistant can reach; redaction decides what it may see inside them - the same governance thread at finer grain. Alongside it, Holistics keeps pulling presentation into AML - custom charts, theme palettes, currency formats - so what analysts used to click is versioned as code.

◆ Prediction

With reach and visibility both now constrained, the remaining gap is accountability - logging what the assistant answered against which data - though the one-line release notes rarely signal scope far enough ahead to read the next step confidently.

H
hstats
ANALYTICS
0.0

hstats settled into maintenance after its 1.0 restructuring, with model coverage the only thing still growing.

◆ Current state

hstats computes Friedman's H-statistics, partial dependence, ICE curves and permutation importance for any model exposing a prediction function. The releases in view are consolidation: performance work on plain data.frames, ICE facetting for multioutput models, ranger survival support, and a ggplot 4.0 compatibility pass in 2025. The package moved to the ModelOriented organisation in 1.2.0.

◆ Where it's heading

The structural work — the hstats_matrix object, quantile approximation, revised plotting — landed in 1.0.0 just outside this window, and nothing since has changed the package's shape. What continues is model-coverage plumbing: mlr3 classification modes, ranger survival behind a survival argument, and factor predictions added in 1.1.0 then removed again in 1.2.0. The most recent releases are compatibility-driven, tracking ggplot2 rather than the interaction statistics.

◆ Prediction

Expect the next release to be another dependency-compatibility pass or a new model backend working out of the box, rather than new interaction statistics.

Alternatives to Holistics and hstats

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 hstats.

See all Holistics alternatives → · See all hstats alternatives →

Recent activity from Holistics and hstats

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

  1. 3d agoHolisticsAI user attribute restricts AI access to sensitive data
  2. 3d agoHolisticsRedact data exposed to the AI assistant
  3. 17d agoHolisticsCustom currency and unit formats, per field
  4. 20d agoHolisticsFile history: per-file version timeline and restore
  5. 23d agoHolisticsCustom charts become AML code with GUI authoring
  6. 24d agoHolisticsColor palettes can be assigned at the theme level
  7. 10mo agohstatsggplot 4.0 compatibility and test coverage
  8. 2y agohstatsranger survival models supported out of the box
  9. 2y agohstatsMoves to ModelOriented; factor predictions removed
  10. 2y agohstatsICE facets for multioutput models; mlr3 fixes
  11. 2y agohstatsFaster data.frame paths; NaN H-statistics fixed
  12. 2y agohstatsFactor predictions and line-style 2D partial dependence

Frequently asked questions

What is the difference between Holistics and hstats?

They serve adjacent needs but don't currently overlap on shipped themes. Holistics 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 Holistics better than hstats?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Holistics 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 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 hstats?

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