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Fathom Analytics vs modeltime

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

Fathom Analytics vs modeltime: at a glance

FeatureFathom Analyticsmodeltime
SectorAnalyticsAnalytics
Velocity score1.30.0
Sparks · 30d00
Top themesprivacy-analytics, performance, search-console, bot-detectionforecasting, conformal-prediction, tidymodels, parallelism
Last editorial update3mo ago1h ago
WebsiteVisit →Visit →

What is Fathom Analytics?

Fathom rebuilds its query engine and bolts on Search Console, reaching for GA4's lunch.

Fathom shipped a complete analytics-engine rebuild in March 2026, paired with secondary dimensions, faster queries, and more accurate time-on-page measurement. The product is closing the feature gap with mainstream analytics tools while keeping its cookie-free, privacy-first stance. Recent additions — Google Search Console integration, entry/exit pages, dashboard ZIP exports, and a fresh layer of bot detection — directly target reasons users still keep GA4 open in another tab.

Read the full Fathom Analytics trajectory →

What is modeltime?

modeltime built conformal intervals in, then went quiet on features.

modeltime is at 1.3.3, a single change making the package robust to xgboost version shifts. The feature weight sits in 1.3.2, which added a future-based parallel backend, the maape() accuracy metric and dials helpers for ADAM engine tuning, and further back in the 1.2.8 and 1.3.0 pair that introduced conformal prediction intervals and then carried them through the nested forecasting workflow.

Read the full modeltime trajectory →

Fathom Analytics vs modeltime: editorial side-by-side

Fathom Analytics logo1.3

Fathom rebuilds its query engine and bolts on Search Console, reaching for GA4's lunch.

◆ Current state

Fathom shipped a complete analytics-engine rebuild in March 2026, paired with secondary dimensions, faster queries, and more accurate time-on-page measurement. The product is closing the feature gap with mainstream analytics tools while keeping its cookie-free, privacy-first stance. Recent additions — Google Search Console integration, entry/exit pages, dashboard ZIP exports, and a fresh layer of bot detection — directly target reasons users still keep GA4 open in another tab.

◆ Where it's heading

The roadmap is clearly aimed at making Fathom a viable single-pane replacement for Google Analytics rather than a privacy-first complement to it. Expect continued investment in detection accuracy, reporting depth (custom exports, secondary dimensions), and Google-side integrations. The new analytics engine is foundational — it is what makes the next layer of features possible.

◆ Prediction

Next likely moves are deeper UTM and campaign analytics, an experimentation or goals-funnel surface, and tighter agency tooling that builds on self-serve site transfer and shared-dashboard exports.

M
modeltime
ANALYTICS
0.0

modeltime built conformal intervals in, then went quiet on features.

◆ Current state

modeltime is at 1.3.3, a single change making the package robust to xgboost version shifts. The feature weight sits in 1.3.2, which added a future-based parallel backend, the maape() accuracy metric and dials helpers for ADAM engine tuning, and further back in the 1.2.8 and 1.3.0 pair that introduced conformal prediction intervals and then carried them through the nested forecasting workflow.

◆ Where it's heading

The arc runs from uncertainty quantification to execution. Conformal intervals arrived first and were then threaded through nested fitting, refitting and the printed forecast tables so users can see which confidence method produced an interval. The later work moves down a layer to how forecasts are computed — a portable future backend replacing foreach tuning — rather than what they express.

◆ Prediction

With only an xgboost compatibility fix since the 1.3.2 feature release, the entries do not support a confident prediction about what comes next beyond continued dependency maintenance.

Alternatives to Fathom Analytics and modeltime

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 Fathom Analytics or modeltime.

See all Fathom Analytics alternatives → · See all modeltime alternatives →

Recent activity from Fathom Analytics and modeltime

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

  1. 4mo agoFathom AnalyticsA new layer of bot detection to keep your analytics accurate and free from non-human traffic
  2. 4mo agoFathom AnalyticsTrial signup landing page (not a changelog entry)
  3. 5mo agoFathom AnalyticsSee where visitors land when they arrive at your site and where they leave from — right on your dashboard
  4. 5mo agoFathom AnalyticsWe rebuilt the analytics engine behind your Fathom dashboard from the ground up.
  5. 5mo agoFathom AnalyticsSee which search terms people use to find your site in search results, right inside your Fathom dashboard
  6. 5mo agoFathom AnalyticsUpdates and improvements to Fathom Analytics for February 2026
  7. 7mo agomodeltimeRobustness to xgboost version changes
  8. 11mo agomodeltimefuture parallel backend, maape() metric and ADAM tuning helpers
  9. 2y agomodeltimeConformal intervals reach the nested forecasting workflow
  10. 2y agomodeltimeConformal prediction intervals introduced
  11. 3y agomodeltimeFixes the Smooth es() model
  12. 3y agomodeltimeFixes failing developer-tools tests

Frequently asked questions

What is the difference between Fathom Analytics and modeltime?

They serve adjacent needs but don't currently overlap on shipped themes. Fathom Analytics is currently shipping more aggressively (velocity 1.3 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 Fathom Analytics better than modeltime?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Fathom Analytics is currently shipping more aggressively (velocity 1.3 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 Fathom Analytics?

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

What are the best alternatives to modeltime?

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