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fastglm vs Holistics

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

fastglm vs Holistics: at a glance

FeaturefastglmHolistics
SectorAnalyticsAnalytics
Velocity score0.05.0
Sparks · 30d00
Top themesstatistical-computing, generalized-linear-models, cpp, r-packagebusiness-intelligence, ai-governance, data-redaction, analytics-as-code
Last editorial update2d ago10h ago
WebsiteVisit →Visit →

What is fastglm?

A fast GLM solver stops being one function and becomes a count-model family

fastglm ran C++ IRLS for standard generalized linear models for six years with almost no releases. In May 2026 it added three top-level model types — negative binomial with jointly estimated dispersion, hurdle, and zero-inflated — each with the entire fitting driver in C++ rather than an R loop around a C++ kernel. The following release generalised Firth bias reduction to every standard family across dense, sparse and streaming backends.

Read the full fastglm 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 →

fastglm vs Holistics: editorial side-by-side

F
fastglm
ANALYTICS
0.0

A fast GLM solver stops being one function and becomes a count-model family

◆ Current state

fastglm ran C++ IRLS for standard generalized linear models for six years with almost no releases. In May 2026 it added three top-level model types — negative binomial with jointly estimated dispersion, hurdle, and zero-inflated — each with the entire fitting driver in C++ rather than an R loop around a C++ kernel. The following release generalised Firth bias reduction to every standard family across dense, sparse and streaming backends.

◆ Where it's heading

The package changed what it is. Through 0.0.3 it was a drop-in replacement for glm() competing on speed; from 0.1.0 it targets the models people leave base R for — MASS::glm.nb, pscl::hurdle, pscl::zeroinfl — and reimplements their full estimation loops natively. The 0.1.1 follow-up is consolidation on that new surface: Firth generalised past binomial logit, SQUAREM acceleration on the zero-inflation EM driver, and a run of clamping guards and initialization fixes on the families most prone to overflow.

◆ Prediction

The numerical-stability work in 0.1.1 clusters on Tweedie and the inverse and sqrt link families, which suggests those paths are the newest and least exercised — expect further correctness fixes there before new model types.

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 fastglm 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 fastglm or Holistics.

See all fastglm alternatives → · See all Holistics alternatives →

Recent activity from fastglm 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. 2mo agofastglmFirth generalised to all families, plus SQUAREM and stability fixes
  8. 3mo agofastglmCRAN release 0.1.0
  9. 4y agofastglmC++ headers exposed for linking
  10. 7y agofastglmFirst CRAN release of the C++ IRLS solver

Frequently asked questions

What is the difference between fastglm 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 fastglm 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 fastglm?

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