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distributions3 vs Holistics

A side-by-side editorial comparison of distributions3 and Holistics — release velocity, themes, recent moves, and the top alternatives to consider.

distributions3 vs Holistics: at a glance

Featuredistributions3Holistics
SectorAnalyticsAnalytics
Velocity score6.35.0
Sparks · 30d10
Top themesr-package, probability-distributions, empirical-distributions, likelihood-inferencebusiness-intelligence, ai-governance, data-redaction, analytics-as-code
Last editorial update1h ago9h ago
WebsiteVisit →Visit →

What is distributions3?

distributions3 0.3.0 adds sample-based distributions and likelihood derivatives

An R package giving probability distributions a consistent object interface - d/p/q/r functions, moments, and prodist() methods that pull a fitted distribution out of a regression object. Version 0.3.0 is the first substantive release under Achim Zeileis's maintenance, and it widens what a distribution is allowed to be: Empirical() represents a distribution by a random sample rather than by parameters, and numerical fallbacks now fill in cdf(), pdf(), quantile(), random() and the moments for any object that implements only some of them. New score() and hessian() generics compute first and second derivatives of the log-likelihood with respect to the parameters, analytically for a few distributions and numerically for the rest.

Read the full distributions3 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 →

distributions3 vs Holistics: editorial side-by-side

D6.3

distributions3 0.3.0 adds sample-based distributions and likelihood derivatives

◆ Current state

An R package giving probability distributions a consistent object interface - d/p/q/r functions, moments, and prodist() methods that pull a fitted distribution out of a regression object. Version 0.3.0 is the first substantive release under Achim Zeileis's maintenance, and it widens what a distribution is allowed to be: Empirical() represents a distribution by a random sample rather than by parameters, and numerical fallbacks now fill in cdf(), pdf(), quantile(), random() and the moments for any object that implements only some of them. New score() and hessian() generics compute first and second derivatives of the log-likelihood with respect to the parameters, analytically for a few distributions and numerically for the rest.

◆ Where it's heading

Growth used to arrive as new distribution families contributed from outside - the extreme-value set, Erlang, later the Poisson binomial. This release changes the axis: alongside two new distributions it adds an inference layer (score, hessian) and a forecast-evaluation one (crps() methods against scoringRules), which are capabilities about distributions rather than more of them. Dependency weight is being cut at the same time, with ggplot2 demoted to Suggests and glue replaced by base R sprintf().

◆ Prediction

With numeric fallbacks and the derivative generics in place, expect analytic score() and hessian() methods to be filled in across more of the distribution catalogue. The constructor-default change is the likeliest source of follow-up fixes, since calls like Poisson() now return a length-zero distribution where they previously errored.

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 distributions3 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 distributions3 or Holistics.

See all distributions3 alternatives → · See all Holistics alternatives →

Recent activity from distributions3 and Holistics

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

  1. 1h agodistributions3Empirical distributions, plus score and hessian generics
  2. 3d agoHolisticsAI user attribute restricts AI access to sensitive data
  3. 3d agoHolisticsRedact data exposed to the AI assistant
  4. 17d agoHolisticsCustom currency and unit formats, per field
  5. 20d agoHolisticsFile history: per-file version timeline and restore
  6. 23d agoHolisticsCustom charts become AML code with GUI authoring
  7. 24d agoHolisticsColor palettes can be assigned at the theme level
  8. 28d agodistributions3Maintenance moves to Achim Zeileis; moment calculations corrected
  9. 10mo agodistributions3ggplot2 compatibility for the plotting functions
  10. 1y agodistributions3Poisson binomial distribution, with a normal-approximation fallback
  11. 3y agodistributions3is_discrete and is_continuous generics, plus elementwise type-safety
  12. 4y agodistributions3Extreme-value family, Erlang, and a plotting generic

Frequently asked questions

What is the difference between distributions3 and Holistics?

They serve adjacent needs but don't currently overlap on shipped themes. distributions3 is currently shipping more aggressively (velocity 6.3 vs 5.0), with 1 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 distributions3 better than Holistics?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. distributions3 is currently shipping more aggressively (velocity 6.3 vs 5.0), with 1 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 distributions3?

Top distributions3 alternatives in Analytics are ranked by recent ship velocity. Browse the "distributions3 alternatives" section above for the current picks, or visit /alternatives/distributions3-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.