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AgencyAnalytics vs fastglm

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

AgencyAnalytics vs fastglm: at a glance

FeatureAgencyAnalyticsfastglm
SectorAnalyticsAnalytics
Velocity score6.30.0
Sparks · 30d10
Top themesagency-reporting, ai-assistant, skills, integrationsstatistical-computing, generalized-linear-models, cpp, r-package
Last editorial update16h ago2d ago
WebsiteVisit →Visit →

What is AgencyAnalytics?

AgencyAI got skills three weeks ago; everything since has been making them routine.

The cadence is weekly and heavily weighted toward AgencyAI. Skills landed in early August as named, runnable agency tasks; scheduling followed, so those tasks now run on their own. Around the assistant, the reporting surface keeps widening: advanced filtering on custom metrics and KPIs, client tags, a report shares view, and a MailerLite data source that brings email campaign metrics alongside every other channel.

Read the full AgencyAnalytics trajectory →

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 →

AgencyAnalytics vs fastglm: editorial side-by-side

A6.3

AgencyAI got skills three weeks ago; everything since has been making them routine.

◆ Current state

The cadence is weekly and heavily weighted toward AgencyAI. Skills landed in early August as named, runnable agency tasks; scheduling followed, so those tasks now run on their own. Around the assistant, the reporting surface keeps widening: advanced filtering on custom metrics and KPIs, client tags, a report shares view, and a MailerLite data source that brings email campaign metrics alongside every other channel.

◆ Where it's heading

The assistant is being moved from something an operator invokes to something that runs on a schedule against connected client data, which changes it from a feature into part of the reporting pipeline. The integration work continues at its usual pace and serves the same end — the more channels are connected, the more a scheduled skill has to reason over. Filtering and tagging are the plumbing that lets those tasks be scoped to the right accounts.

◆ Prediction

Expect scheduled skills to gain delivery — results pushed into reports or sent to clients — rather than staying inside the assistant panel.

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.

Alternatives to AgencyAnalytics and fastglm

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 AgencyAnalytics or fastglm.

See all AgencyAnalytics alternatives → · See all fastglm alternatives →

Recent activity from AgencyAnalytics and fastglm

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

  1. 1d agoAgencyAnalyticsMailerLite is now available
  2. 2d agoAgencyAnalyticsSchedule your AgencyAI prompts
  3. 7d agoAgencyAnalyticsAdvanced filtering for custom metrics and KPIs
  4. 7d agoAgencyAnalyticsOrganize your clients your way with tags
  5. 12d agoAgencyAnalyticsReport Shares View
  6. 12d agoAgencyAnalyticsSkills in AgencyAI
  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 AgencyAnalytics and fastglm?

They serve adjacent needs but don't currently overlap on shipped themes. AgencyAnalytics is currently shipping more aggressively (velocity 6.3 vs 0.0), 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 AgencyAnalytics better than fastglm?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. AgencyAnalytics is currently shipping more aggressively (velocity 6.3 vs 0.0), 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 AgencyAnalytics?

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

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.