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Comparison · Analytics
Fathom Analytics vs StatsBase.jl
A side-by-side editorial comparison of Fathom Analytics and StatsBase.jl — release velocity, themes, recent moves, and the top alternatives to consider.
Fathom Analytics vs StatsBase.jl: at a glance
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.
What is StatsBase.jl?
StatsBase.jl is in caretaker mode — correctness fixes in, dependency bumps out.
StatsBase.jl is deep in the 0.34 patch series, releasing every few months with changes that are either small correctness fixes or bot-authored dependency bumps. The most substantive recent release, 0.34.10, fixed weighted sampling with UnitWeights, sped up unweighted ecdf, and widened quantile to accept non-Real element types. Since then the tags have thinned to CI action bumps and a diff-only note.
Fathom Analytics vs StatsBase.jl: editorial side-by-side
Fathom Analytics
1.3ANALYTICS
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.
StatsBase.jl
0.0ANALYTICS
StatsBase.jl is in caretaker mode — correctness fixes in, dependency bumps out.
◆ Current state
StatsBase.jl is deep in the 0.34 patch series, releasing every few months with changes that are either small correctness fixes or bot-authored dependency bumps. The most substantive recent release, 0.34.10, fixed weighted sampling with UnitWeights, sped up unweighted ecdf, and widened quantile to accept non-Real element types. Since then the tags have thinned to CI action bumps and a diff-only note.
◆ Where it's heading
This is the shape of a foundational Julia package that has reached its intended scope: the API is settled, and maintenance means keeping compat bounds current and closing long-tail correctness issues raised by users. Nothing in the feed suggests new statistical capability is being staged. The most likely reason is that new work now lands in the downstream packages that build on StatsBase rather than in StatsBase itself.
◆ Prediction
Expect more 0.34.x patches on the same rhythm — CompatHelper bumps and occasional user-reported edge-case fixes — with no signal in these entries that a 0.35 or 1.0 is being prepared.
Alternatives to Fathom Analytics and StatsBase.jl
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 StatsBase.jl.
OpenHouse
OpenHouse is hardening the seams where table policies and jobs quietly fail.
silx
silx 3.0 moved its default Qt binding to PySide6 — a migration for everyone embedding it.
statsmodels
statsmodels ships only what the ecosystem breaks — six releases, no new statistics.
iris
Iris ships steadily on a two-a-year cadence, but its feed publishes only pointers.
shiny
Shiny made reactive apps observable, then gave them a way to tear themselves down
See all Fathom Analytics alternatives → · See all StatsBase.jl alternatives →
Recent activity from Fathom Analytics and StatsBase.jl
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoStatsBase.jlv0.34.12
- 2mo agoStatsBase.jlv0.34.11
- 4mo agoFathom AnalyticsA new layer of bot detection to keep your analytics accurate and free from non-human traffic
- 4mo agoFathom AnalyticsTrial signup landing page (not a changelog entry)
- 5mo agoFathom AnalyticsSee where visitors land when they arrive at your site and where they leave from — right on your dashboard
- 5mo agoFathom AnalyticsWe rebuilt the analytics engine behind your Fathom dashboard from the ground up. ⚡
- 5mo agoFathom AnalyticsSee which search terms people use to find your site in search results, right inside your Fathom dashboard ⚡
- 5mo agoFathom AnalyticsUpdates and improvements to Fathom Analytics for February 2026
- 7mo agoStatsBase.jl0.34.10: faster unweighted ecdf and quantile on non-Real element types
Frequently asked questions
What is the difference between Fathom Analytics and StatsBase.jl?
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 StatsBase.jl?
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 StatsBase.jl?
Top StatsBase.jl alternatives in Analytics are ranked by recent ship velocity. Browse the "StatsBase.jl alternatives" section above for the current picks, or visit /alternatives/statsbase-jl for the full list with editorial commentary on each.