modeltime
modeltime built conformal intervals in, then went quiet on features.
Comparison · Analytics
Fathom Analytics vs tidyr
A side-by-side editorial comparison of Fathom Analytics and tidyr — release velocity, themes, recent moves, and the top alternatives to consider.
Fathom Analytics vs tidyr: 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 tidyr?
tidyr replaced separate() with a family that says what it does.
tidyr is at 1.3.2, a collection of argument additions — fill() gains .by, expand_grid() gains .vary — and better error messages around unchop() and pivot_wider_spec(). The structural work is 1.3.0, which introduced separate_wider_delim(), separate_wider_position(), separate_wider_regex(), separate_longer_delim() and separate_longer_position() as thorough replacements for separate(), extract() and separate_rows().
Fathom Analytics vs tidyr: 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.
tidyr
0.0ANALYTICS
tidyr replaced separate() with a family that says what it does.
◆ Current state
tidyr is at 1.3.2, a collection of argument additions — fill() gains .by, expand_grid() gains .vary — and better error messages around unchop() and pivot_wider_spec(). The structural work is 1.3.0, which introduced separate_wider_delim(), separate_wider_position(), separate_wider_regex(), separate_longer_delim() and separate_longer_position() as thorough replacements for separate(), extract() and separate_rows().
◆ Where it's heading
Two habits define this window. Verbs are being split into explicitly named variants rather than overloaded with arguments, which is what the separate_* family does to separate(). And .by is spreading as the standard way to express grouping inline — nest(.by=) in 1.3.0, fill(.by=) in 1.3.2 — pulling users away from wrapping calls in group_by().
◆ Prediction
Given that .by has now reached fill() and nest(), the next release most likely extends the same argument to further verbs rather than reworking another function family.
Alternatives to Fathom Analytics and tidyr
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 tidyr.
performance
performance keeps adding ways to check a model you have already fitted.
cmdstanpy
CmdStanPy is clearing deprecations ahead of a 2.0 it keeps announcing.
dowhy
DoWhy adds one estimation method a year and keeps its identification edge.
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.
See all Fathom Analytics alternatives → · See all tidyr alternatives →
Recent activity from Fathom Analytics and tidyr
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 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 agotidyrfill() gains .by; expand_grid() gains .vary
- 2y agotidyrpivot_wider duplicate message uses modern syntax
- 3y agotidyrseparate_wider_* family supersedes separate() and extract()
- 3y agotidyrHot patch for R CMD check failures
- 4y agotidyrpivot_wider() gains names_expand, id_expand and unused_fn
- 4y agotidyrLarge speedups to unchop(), unnest() and expand_grid()
Frequently asked questions
What is the difference between Fathom Analytics and tidyr?
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 tidyr?
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 tidyr?
Top tidyr alternatives in Analytics are ranked by recent ship velocity. Browse the "tidyr alternatives" section above for the current picks, or visit /alternatives/tidyr for the full list with editorial commentary on each.