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distributional vs Holistics

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

distributional vs Holistics: at a glance

FeaturedistributionalHolistics
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesr-package, probability-distributions, distribution-arithmetic, numerical-methodsbusiness-intelligence, ai-governance, data-redaction, analytics-as-code
Last editorial update4d ago9h ago
WebsiteVisit →Visit →

What is distributional?

distributional taught + and - to work on any pair of distributions, closing the algebra it started with.

The R package providing vectorised distribution objects — the substrate that forecasting and anomaly tooling in the same ecosystem builds on. Cadence has picked up sharply, with four releases in the six months to June 2026 against roughly one a year before that. Two kinds of work alternate: adding distribution families (Dirichlet, Horseshoe, Laplace, multivariate t, g-and-k, the extreme-value pair) and deepening what can be computed generically across all of them.

Read the full distributional trajectory →

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 →

distributional vs Holistics: editorial side-by-side

D0.0

distributional taught + and - to work on any pair of distributions, closing the algebra it started with.

◆ Current state

The R package providing vectorised distribution objects — the substrate that forecasting and anomaly tooling in the same ecosystem builds on. Cadence has picked up sharply, with four releases in the six months to June 2026 against roughly one a year before that. Two kinds of work alternate: adding distribution families (Dirichlet, Horseshoe, Laplace, multivariate t, g-and-k, the extreme-value pair) and deepening what can be computed generically across all of them.

◆ Where it's heading

The generic-computation thread is the one that matters and it has been building steadily: a Monte Carlo default method for cdf(), has_symmetry() to let algorithms specialise, hdr() moving to exact results for symmetric distributions and 4096 quantiles elsewhere, open-versus-closed support intervals. Version 0.8.0 is where that thread arrives somewhere — arithmetic on arbitrary distributions, with closed forms used when they exist and numerical convolution when they do not. The package is positioning itself as a computational layer rather than a catalogue, which is consistent with how weird and the forecasting packages consume it.

◆ Prediction

Expect the numerical machinery behind dist_convolved() to be reused for other operators, and more generics like has_symmetry() that let downstream algorithms take exact paths when a distribution supports them.

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.

Alternatives to distributional and Holistics

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 distributional or Holistics.

See all distributional alternatives → · See all Holistics alternatives →

Recent activity from distributional and Holistics

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. 1mo agodistributionalConditional S3 registration so the package loads on R before 4.3
  8. 1mo agodistributionalDistribution arithmetic: FFT convolution behind the + and - operators
  9. 2mo agodistributionalVectorised p in quantile() for inflated distributions; open brackets on infinite bounds
  10. 5mo agodistributionalDirichlet and Horseshoe distributions added
  11. 7mo agodistributionalhas_symmetry() generic, exact HDRs for symmetric distributions
  12. 1y agodistributionalMonte Carlo cdf() default method; g-and-k, g-and-h and extreme-value families

Frequently asked questions

What is the difference between distributional and Holistics?

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 distributional better than Holistics?

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 distributional?

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

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.