Whatagraph
Whatagraph keeps fixing what breaks when one account runs a thousand sources.
A side-by-side editorial comparison of Fulcrum and gtsummary — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Fulcrum | gtsummary |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 6.3 | 0.0 |
| Sparks · 30d | 0 | 0 |
| Top themes | gis, esri-migration, offline-maps, field-data-capture | clinical-tables, analysis-results-data, regression-summaries, reproducible-reporting |
| Last editorial update | 17h ago | 4d ago |
| Website | — | Visit → |
Fulcrum is betting its whole map stack on Esri, with a hard Google Maps cutoff on September 1.
Fulcrum is a field data collection platform, and nearly every entry in the last month touches mapping. The web app ships weekly fix batches for layer rendering (KML/KMZ, MBTiles, ArcGIS Feature Services), while iOS and Android push near-weekly builds against the ArcGIS SDK. The newest iOS build turns to app-level responsiveness - database queries moved off the main path and the record editor kept interactive while Photo FastFill works in the background.
gtsummary is quietly rebuilding itself around analysis results data, one table verb at a time.
gtsummary builds publication-ready summary, regression and survival tables for clinical and epidemiological work. Across this window it has grown in two directions at once: table composition primitives — splitting tables by rows and columns, stacking with labeled IDs, nested strata stacks, flexible merge columns — and a steadily deepening ARD layer, where tbl_ard_* functions, gather_ard() and the hierarchical table family expose the underlying analysis results data as a first-class object.
Fulcrum is a field data collection platform, and nearly every entry in the last month touches mapping. The web app ships weekly fix batches for layer rendering (KML/KMZ, MBTiles, ArcGIS Feature Services), while iOS and Android push near-weekly builds against the ArcGIS SDK. The newest iOS build turns to app-level responsiveness - database queries moved off the main path and the record editor kept interactive while Photo FastFill works in the background.
The direction is a full consolidation onto Esri. The legacy Google Maps engine retires on September 1 with automatic migration for anyone who has not switched, and Esri now carries Google's satellite and street basemaps so the imagery argument is neutralized. Underneath, the mobile SDK moved to ArcGIS 300.0.0 and ONNX on-device inference gave way to a new INFERENCE format. Two capabilities are visibly staged behind early access rather than shipped: Photo FastFill, and a GPS integration still described as Alpha.
Expect the weeks before September 1 to stay dominated by migration-shaped fixes and Esri parity work, with Photo FastFill the nearer of the two early-access programs to general availability given it is already running in shipped builds.
gtsummary builds publication-ready summary, regression and survival tables for clinical and epidemiological work. Across this window it has grown in two directions at once: table composition primitives — splitting tables by rows and columns, stacking with labeled IDs, nested strata stacks, flexible merge columns — and a steadily deepening ARD layer, where tbl_ard_* functions, gather_ard() and the hierarchical table family expose the underlying analysis results data as a first-class object.
The ARD work is the through-line. Table IDs exist so gather_ard() can return a named list; hierarchical tables gained per-level sorting and targeted filtering; ARD inputs are pre-processed so sorting applies to non-standard shapes. The package is becoming a structured-results engine that happens to render tables, rather than a renderer alone. Alongside that, 2.2.0 restored data pre-processing that 2.0 had removed after the reduced functionality hurt users — a maintainer willing to reverse a major-version decision.
Expect the hierarchical and ARD functions, introduced as a preview without a full deprecation cycle, to keep stabilizing toward a settled API rather than new table types appearing.
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 Fulcrum or gtsummary.
Whatagraph keeps fixing what breaks when one account runs a thousand sources.
Lightdash keeps handing authoring to outside agents and keeping the governed layer for itself.
A 4.4.0 tag appears, but the feed carries only its release plumbing
distributions3 0.3.0 adds sample-based distributions and likelihood derivatives
Basedash keeps pushing its data out of the workspace — now to people without accounts
RStudio ships through release branches, and the notes are commit messages
See all Fulcrum alternatives → · See all gtsummary alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Fulcrum is currently shipping more aggressively (velocity 6.3 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Fulcrum is currently shipping more aggressively (velocity 6.3 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.
Top Fulcrum alternatives in Analytics are ranked by recent ship velocity. Browse the "Fulcrum alternatives" section above for the current picks, or visit /alternatives/fulcrum for the full list with editorial commentary on each.
Top gtsummary alternatives in Analytics are ranked by recent ship velocity. Browse the "gtsummary alternatives" section above for the current picks, or visit /alternatives/gtsummary-r for the full list with editorial commentary on each.