Whatagraph
Whatagraph keeps fixing what breaks when one account runs a thousand sources.
A side-by-side editorial comparison of fastplyr and Fulcrum — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | fastplyr | Fulcrum |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 0.0 | 6.3 |
| Sparks · 30d | 0 | 0 |
| Top themes | dataframe-performance, dplyr-alternative, query-optimization, cran-policy | gis, esri-migration, offline-maps, field-data-capture |
| Last editorial update | 5d ago | 17h ago |
| Website | Visit → | — |
A fast dplyr stand-in that keeps finding new places to skip work entirely.
fastplyr reimplements the dplyr verbs on a faster backend, exposing f_summarise, f_mutate, f_reframe and a set of group metadata helpers alongside optimized joins and quantiles. The most recent release removes non-API C functions and raises the floor to R 4.5.0, a steep requirement that follows the C++17 requirement introduced a release earlier. The verb surface itself has been stable since 0.9.0.
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.
fastplyr reimplements the dplyr verbs on a faster backend, exposing f_summarise, f_mutate, f_reframe and a set of group metadata helpers alongside optimized joins and quantiles. The most recent release removes non-API C functions and raises the floor to R 4.5.0, a steep requirement that follows the C++17 requirement introduced a release earlier. The verb surface itself has been stable since 0.9.0.
The optimization strategy has shifted from making individual functions fast to reasoning about expressions before evaluating them — 0.9.9 began marking simple operators as group-unaware so expressions built only from them are evaluated across the whole data frame rather than per group. That is a structural bet: the package increasingly inspects what you wrote to decide how much work is actually needed. Running alongside it is a steady tightening of build requirements, with C++17, R 4.5.0 and CRAN's C API rules all landing within a year.
Expect the group-unaware classification to widen to more functions, since each addition compounds across every grouped expression, and expect the dependency floors to keep rising as the package tracks CRAN's compiled-code policy.
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.
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 fastplyr or Fulcrum.
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 fastplyr alternatives → · See all Fulcrum 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 fastplyr alternatives in Analytics are ranked by recent ship velocity. Browse the "fastplyr alternatives" section above for the current picks, or visit /alternatives/fastplyr for the full list with editorial commentary on each.
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.