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Fulcrum vs tune

A side-by-side editorial comparison of Fulcrum and tune — release velocity, themes, recent moves, and the top alternatives to consider.

Fulcrum vs tune: at a glance

FeatureFulcrumtune
SectorAnalyticsAnalytics
Velocity score6.30.0
Sparks · 30d00
Top themesfield-data-collection, esri-arcgis, offline-maps, on-device-inferencehyperparameter-tuning, tidymodels, parallelism, postprocessing
Last editorial update15h ago49m ago
WebsiteVisit →

What is Fulcrum?

Fulcrum's mobile train is all Esri migration cleanup, with on-device inference quietly changing format.

Fulcrum ships iOS, Android, and web releases on a near-weekly cadence, and this stretch is dominated by mapping work following the Google Maps retirement announced for September. Recent builds upgraded to ArcGIS SDK 300.0.0, moved the web map engine to current ArcGIS and deck.gl versions, and worked through the resulting stability issues — basemap loading, location resolution, black map screens, panning and zooming performance. The most consequential change is easy to miss: ONNX support for on-device machine learning inference was removed in favor of a new INFERENCE format that reads labels from an uploaded labels.txt.

Read the full Fulcrum trajectory →

What is tune?

tune extends tuning past the model itself to postprocessors, and adds a second parallel backend

tune runs hyperparameter search for tidymodels. Version 2.0.0 rewrote tune_grid() to make postprocessing tunable alongside preprocessing and the model, changed the .config naming scheme to match, and added mirai as a parallel backend next to future. Version 2.1.0 followed with quantile regression support and a replacement Gaussian process engine.

Read the full tune trajectory →

Fulcrum vs tune: editorial side-by-side

F
Fulcrum
ANALYTICS
6.3

Fulcrum's mobile train is all Esri migration cleanup, with on-device inference quietly changing format.

◆ Current state

Fulcrum ships iOS, Android, and web releases on a near-weekly cadence, and this stretch is dominated by mapping work following the Google Maps retirement announced for September. Recent builds upgraded to ArcGIS SDK 300.0.0, moved the web map engine to current ArcGIS and deck.gl versions, and worked through the resulting stability issues — basemap loading, location resolution, black map screens, panning and zooming performance. The most consequential change is easy to miss: ONNX support for on-device machine learning inference was removed in favor of a new INFERENCE format that reads labels from an uploaded labels.txt.

◆ Where it's heading

This is a platform consolidation being paid down one point release at a time. Having committed to Esri, Fulcrum is absorbing the instability that came with it, and each release reads as fixes to symptoms of the same migration. Underneath, the offline and field-capture story continues to get real attention — downloaded offline map layers can now be updated in place, and Photo FastFill moved to background processing so it no longer blocks editing.

◆ Prediction

Expect the release notes to stay fix-dominated through the September Google Maps cutoff, with the migration-related map defects tapering after it passes. Photo FastFill leaving early access is the most likely next substantive item.

T
tune
ANALYTICS
0.0

tune extends tuning past the model itself to postprocessors, and adds a second parallel backend

◆ Current state

tune runs hyperparameter search for tidymodels. Version 2.0.0 rewrote tune_grid() to make postprocessing tunable alongside preprocessing and the model, changed the .config naming scheme to match, and added mirai as a parallel backend next to future. Version 2.1.0 followed with quantile regression support and a replacement Gaussian process engine.

◆ Where it's heading

Two migrations run through this timeline. The tunable surface keeps widening - first censored regression as a mode, then postprocessors via tailor - so that a candidate is now a preprocessor, model and postprocessor triple rather than just a model. The parallel story has moved from foreach to future and now to mirai, each step deprecating the last. Neither is finished.

◆ Prediction

Expect the foreach path to be removed outright, and the postprocessing surface to grow as tailor gains more steps; the GauPro switch will likely need follow-up as its behavior differs from the old engine.

Alternatives to Fulcrum and tune

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 tune.

See all Fulcrum alternatives → · See all tune alternatives →

Recent activity from Fulcrum and tune

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 23h agoFulcrumAndroid: update offline map layers in place, non-blocking Photo FastFill
  2. 1d agoFulcrumiOS fix: slow location resolution blocked record saves
  3. 6d agoFulcrumWeb: SSO email wording and ArcGIS/deck.gl version bumps
  4. 7d agoFulcrumAndroid fixes: ArcGIS stability, signature button, photo markup
  5. 7d agoFulcrumiOS fixes: basemap loading and black map screen
  6. 8d agoFulcrumiOS: ArcGIS SDK 300.0.0 and ONNX replaced by a new INFERENCE format
  7. 3mo agotuneQuantile regression tuning; Bayesian search moves to GauPro
  8. 9mo agotuneFixes int_pctl() with future parallelism on last_fit()
  9. 11mo agotunePostprocessors become tunable; mirai joins future as a backend
  10. 11mo agotuneDevelopment snapshot re-enabling skipped tests
  11. 1y agotuneWarns on foreach parallelism; space-filling grids by default
  12. 2y agotuneFixes parallel tuning errors under multisession plans

Frequently asked questions

What is the difference between Fulcrum and tune?

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.

Is Fulcrum better than tune?

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.

What are the best alternatives to Fulcrum?

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.

What are the best alternatives to tune?

Top tune alternatives in Analytics are ranked by recent ship velocity. Browse the "tune alternatives" section above for the current picks, or visit /alternatives/tune for the full list with editorial commentary on each.