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Comparison · Analytics
Distributions.jl vs Fathom Analytics
A side-by-side editorial comparison of Distributions.jl and Fathom Analytics — release velocity, themes, recent moves, and the top alternatives to consider.
Distributions.jl vs Fathom Analytics: at a glance
What is Distributions.jl?
Julia's distribution library grinds forward one distribution at a time
Distributions.jl ships small, frequent releases against a large and settled API surface. Recent work splits between correctness fixes to individual distributions (LogitNormal formulas, Semicircle quantiles, Truncated Chernoff), incremental fitting support such as sufficient statistics and MLE for Chi and Chisq, and infrastructure moves like more consistent error types and global sparsity tracing through constructors.
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.
Distributions.jl vs Fathom Analytics: editorial side-by-side
Distributions.jl
2.5ANALYTICS
Julia's distribution library grinds forward one distribution at a time
◆ Current state
Distributions.jl ships small, frequent releases against a large and settled API surface. Recent work splits between correctness fixes to individual distributions (LogitNormal formulas, Semicircle quantiles, Truncated Chernoff), incremental fitting support such as sufficient statistics and MLE for Chi and Chisq, and infrastructure moves like more consistent error types and global sparsity tracing through constructors.
◆ Where it's heading
The arc is consolidation rather than expansion: dependencies are being pruned and internals made more predictable so the package composes cleanly with the rest of the Julia numerical stack. Support for sparsity tracing and looser MvNormal type aliases both point at making the library easier to drive from automatic-differentiation and optimization code.
◆ Prediction
Expect the same cadence of per-distribution fixes and fitting-method additions, with continued work on making constructors transparent to tracing and AD tooling. Nothing in these entries signals a major version or API break.
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.
Alternatives to Distributions.jl and Fathom Analytics
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 Distributions.jl or Fathom Analytics.
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.
StatsBase.jl
StatsBase.jl is in caretaker mode — correctness fixes in, dependency bumps out.
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 Distributions.jl alternatives → · See all Fathom Analytics alternatives →
Recent activity from Distributions.jl and Fathom Analytics
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 16d agoDistributions.jlLogitNormal comment fix and doc typo cleanup
- 1mo agoDistributions.jlLooser MvNormal and MvNormalCanon type aliases
- 1mo agoDistributions.jlTruncated Chernoff quantile and sparsity tracing fixes
- 1mo agoDistributions.jlSparsity tracing works through distribution constructors
- 2mo agoDistributions.jlStatsFuns 2 upgrade and CI action bumps
- 3mo agoDistributions.jlSufficient statistics and MLE for Chi and Chisq
- 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
Frequently asked questions
What is the difference between Distributions.jl and Fathom Analytics?
They serve adjacent needs but don't currently overlap on shipped themes. Distributions.jl is currently shipping more aggressively (velocity 2.5 vs 1.3), 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 Distributions.jl better than Fathom Analytics?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Distributions.jl is currently shipping more aggressively (velocity 2.5 vs 1.3), 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 Distributions.jl?
Top Distributions.jl alternatives in Analytics are ranked by recent ship velocity. Browse the "Distributions.jl alternatives" section above for the current picks, or visit /alternatives/distributions-jl for the full list with editorial commentary on each.
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.