OpenHouse
OpenHouse is hardening the seams where table policies and jobs quietly fail.
A side-by-side editorial comparison of dplyr and Fulcrum — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | dplyr | Fulcrum |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 0.0 | 6.3 |
| Sparks · 30d | 0 | 0 |
| Top themes | r, data-manipulation, tidyverse, api-expansion | field-data-collection, esri-arcgis, offline-maps, mobile-releases |
| Last editorial update | 1h ago | 15h ago |
| Website | Visit → | — |
After two quiet years dplyr widened its verb vocabulary in one release
dplyr sat on patch releases from late 2023 until 1.2.0 landed in February 2026, and that release did a lot at once: a filter_out() counterpart to filter(), elementwise when_any() and when_all(), and three new recoding verbs alongside case_when(). It also rewrote if_else(), case_when() and coalesce() in C via vctrs, and promoted .by and reframe() from experimental to stable. The follow-up 1.2.1 is a compliance patch.
Fulcrum is consolidating on Esri, with Google Maps gone September 1
The mapping stack is the whole story right now: ArcGIS SDK 300.0.0 on iOS, the latest ArcGIS and deck.gl on web, and a hard cutover date after which any organization still defaulting to Google Maps is switched to Esri automatically. The mobile releases in this window are almost entirely map and location fixes — basemap loading, offline symbol styling, location resolution that blocked saves. On-device inference quietly changed format, dropping ONNX.
dplyr sat on patch releases from late 2023 until 1.2.0 landed in February 2026, and that release did a lot at once: a filter_out() counterpart to filter(), elementwise when_any() and when_all(), and three new recoding verbs alongside case_when(). It also rewrote if_else(), case_when() and coalesce() in C via vctrs, and promoted .by and reframe() from experimental to stable. The follow-up 1.2.1 is a compliance patch.
The package is expanding its verb set deliberately, through published Tidyup design proposals rather than ad-hoc additions, and each new verb targets a case where the old idiom was error-prone - most obviously NA handling in negated filters. Underneath, hot paths keep moving from R into C, so the API grows while the runtime cost falls.
Expect the remaining experimental surface to follow .by and reframe() toward stable, and further hot paths to be rewritten in C via vctrs. The two Tidyup proposals referenced here suggest more of the filter and recode families is still being designed.
The mapping stack is the whole story right now: ArcGIS SDK 300.0.0 on iOS, the latest ArcGIS and deck.gl on web, and a hard cutover date after which any organization still defaulting to Google Maps is switched to Esri automatically. The mobile releases in this window are almost entirely map and location fixes — basemap loading, offline symbol styling, location resolution that blocked saves. On-device inference quietly changed format, dropping ONNX.
One platform bet runs through everything: Esri as the single map engine, with Google's satellite, hybrid, and street imagery retained as basemap options so the migration costs users imagery choice, not capability. The current release cadence is stabilization work paying down that migration rather than new ground.
Expect map and location fixes to keep dominating releases through the September 1 cutover, with the Esri-only capabilities already listed — snapping, ArcGIS Feature Service connectivity, offline basemaps — becoming the default surface rather than the alternative one.
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 dplyr or Fulcrum.
OpenHouse is hardening the seams where table policies and jobs quietly fail.
silx 3.0 moved its default Qt binding to PySide6 — a migration for everyone embedding it.
statsmodels ships only what the ecosystem breaks — six releases, no new statistics.
StatsBase.jl is in caretaker mode — correctness fixes in, dependency bumps out.
Iris ships steadily on a two-a-year cadence, but its feed publishes only pointers.
Shiny made reactive apps observable, then gave them a way to tear themselves down
See all dplyr 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 dplyr alternatives in Analytics are ranked by recent ship velocity. Browse the "dplyr alternatives" section above for the current picks, or visit /alternatives/dplyr 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.