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Comparison · Analytics

modeltime.resample vs oblicubes

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

modeltime.resample vs oblicubes: at a glance

Featuremodeltime.resampleoblicubes
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestime series, cross-validation, tidymodels, compatibility maintenancer, data-viz, grid-graphics, ggplot2
Last editorial update6h ago59m ago
WebsiteVisit →Visit →

What is modeltime.resample?

modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.

modeltime.resample runs time series cross-validation over modeltime models, returning per-resample predictions and accuracy plots. Version 0.3.0 is the substantive release in view: tune 2.0.0 compatibility, deterministic seeding via withr, guaranteed .predictions output, and clearer failures when resample fits break. The three releases before it are dependency chores.

Read the full modeltime.resample trajectory →

What is oblicubes?

A tiny grid renderer for oblique-projection cubes, complete since its first release.

oblicubes draws 3D cubes and cuboids in oblique projection as grid grobs, with ggplot2 geom wrappers and a height-matrix helper for turning elevation data into coordinates. The entire feature set arrived in the initial 0.1.2 release, adapted from coolbutuseless's isocubes and cj-holmes's isocuboids. The two releases since have widened compatibility rather than added anything.

Read the full oblicubes trajectory →

modeltime.resample vs oblicubes: editorial side-by-side

M0.0

modeltime.resample exists to keep backtesting working as tidymodels shifts underneath it.

◆ Current state

modeltime.resample runs time series cross-validation over modeltime models, returning per-resample predictions and accuracy plots. Version 0.3.0 is the substantive release in view: tune 2.0.0 compatibility, deterministic seeding via withr, guaranteed .predictions output, and clearer failures when resample fits break. The three releases before it are dependency chores.

◆ Where it's heading

Every entry here is compatibility work against something upstream — hardhat 1.0.0, workflows regression mode, then tune 2.0.0 twice. The 0.3.0 notes show a second concern emerging alongside it: making failures legible, with .notes on failed fits, actionable errors from unnest_modeltime_resamples(), and fallback logic when prediction columns go missing across versions. Reproducibility gets the same treatment through explicit seeding.

◆ Prediction

Expect the next release to track the next tidymodels breaking change, with any new work continuing on error reporting rather than resampling strategies.

O
oblicubes
ANALYTICS
0.0

A tiny grid renderer for oblique-projection cubes, complete since its first release.

◆ Current state

oblicubes draws 3D cubes and cuboids in oblique projection as grid grobs, with ggplot2 geom wrappers and a height-matrix helper for turning elevation data into coordinates. The entire feature set arrived in the initial 0.1.2 release, adapted from coolbutuseless's isocubes and cj-holmes's isocuboids. The two releases since have widened compatibility rather than added anything.

◆ Where it's heading

The package is finished and its maintainer is treating it that way. 1.0.0 removed the R 4.1 native pipe from examples specifically so earlier R versions could use it — reaching backward, not forward — and added image alt text. The only change since is swapping a deprecated dplyr call in examples.

◆ Prediction

Expect nothing beyond occasional dependency deprecation fixes; the release pattern shows a small, deliberately complete package being kept installable.

Alternatives to modeltime.resample and oblicubes

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 modeltime.resample or oblicubes.

See all modeltime.resample alternatives → · See all oblicubes alternatives →

Recent activity from modeltime.resample and oblicubes

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

  1. 6mo agooblicubesExamples updated to dplyr::reframe()
  2. 11mo agomodeltime.resampletune 2.0 support, deterministic seeding, clearer errors
  3. 11mo agomodeltime.resampleDependency cleanup ahead of the next tune release
  4. 1y agooblicubesR 4.1 pipe removed from examples; image alt text added
  5. 3y agomodeltime.resampleFixes workflows in regression mode
  6. 3y agooblicubesInitial release: oblique-projection cube and cuboid grobs
  7. 4y agomodeltime.resampleUpdates for hardhat 1.0.0

Frequently asked questions

What is the difference between modeltime.resample and oblicubes?

They serve adjacent needs but don't currently overlap on shipped themes. modeltime.resample and oblicubes are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is modeltime.resample better than oblicubes?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. modeltime.resample and oblicubes are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to modeltime.resample?

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

What are the best alternatives to oblicubes?

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