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DoWhy adds one estimation method a year and keeps its identification edge.
A side-by-side editorial comparison of Fulcrum and statsmodels — release velocity, themes, recent moves, and the top alternatives to consider.
| Feature | Fulcrum | statsmodels |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 6.3 | 0.0 |
| Sparks · 30d | 0 | 0 |
| Top themes | field-data-collection, esri-arcgis, offline-maps, mobile-releases | statistics, python, compatibility, maintenance |
| Last editorial update | 15h ago | 1h ago |
| Website | — | Visit → |
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.
statsmodels ships only what the ecosystem breaks — six releases, no new statistics.
Every release in this window is a compatibility release. 0.14.2 and 0.14.3 absorbed NumPy 2, 0.14.5 fixed an import failure caused by SciPy 1.16, and 0.14.6 did the same for pandas 3.0. The only additive change across two years is Pyodide support in 0.14.4, described in its own notes as one feature and no fixes. A 0.15.0.dev0 tag exists from 2023 and has not been followed by a 0.15 release.
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.
Every release in this window is a compatibility release. 0.14.2 and 0.14.3 absorbed NumPy 2, 0.14.5 fixed an import failure caused by SciPy 1.16, and 0.14.6 did the same for pandas 3.0. The only additive change across two years is Pyodide support in 0.14.4, described in its own notes as one feature and no fixes. A 0.15.0.dev0 tag exists from 2023 and has not been followed by a 0.15 release.
The library is being kept alive rather than developed: each release answers a break introduced upstream, and the interval between them is set by the NumPy, SciPy and pandas release calendars rather than by anything statsmodels is building. Two consecutive releases whose stated purpose was restoring the ability to import the package is the sharpest available signal about maintainer bandwidth. The 0.15 line remains a dev tag with no visible progress toward a release.
The next release is most likely another compatibility patch triggered by a NumPy, SciPy or pandas major, and nothing in these entries indicates 0.15 is close.
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 statsmodels.
DoWhy adds one estimation method a year and keeps its identification edge.
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.
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 Fulcrum alternatives → · See all statsmodels 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 statsmodels alternatives in Analytics are ranked by recent ship velocity. Browse the "statsmodels alternatives" section above for the current picks, or visit /alternatives/statsmodels for the full list with editorial commentary on each.