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Comparison · Analytics

lineup2 vs modeltime.resample

A side-by-side editorial comparison of lineup2 and modeltime.resample — release velocity, themes, recent moves, and the top alternatives to consider.

lineup2 vs modeltime.resample: at a glance

Featurelineup2modeltime.resample
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessample-mixups, distance-metrics, r-package, bioinformaticstime series, cross-validation, tidymodels, compatibility maintenance
Last editorial update49m ago3h ago
WebsiteVisit →Visit →

What is lineup2?

lineup2 ships once every few years, and 2026's release is a logo and a core-count tweak.

lineup2 provides distance-based tools for detecting sample mix-ups between related datasets — comparing rows and columns of two matrices to find swapped or mislabeled samples. Its visible history is four releases spread across six years, and the capability surface has barely moved since plot_sample() and the propdiff distance arrived in 0.4. Version 0.8 in July 2026 adds a package logo and redefines cores=0 to mean all-but-one core.

Read the full lineup2 trajectory →

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 →

lineup2 vs modeltime.resample: editorial side-by-side

L
lineup2
ANALYTICS
0.0

lineup2 ships once every few years, and 2026's release is a logo and a core-count tweak.

◆ Current state

lineup2 provides distance-based tools for detecting sample mix-ups between related datasets — comparing rows and columns of two matrices to find swapped or mislabeled samples. Its visible history is four releases spread across six years, and the capability surface has barely moved since plot_sample() and the propdiff distance arrived in 0.4. Version 0.8 in July 2026 adds a package logo and redefines cores=0 to mean all-but-one core.

◆ Where it's heading

This is a finished, single-purpose package in maintenance. The substantive changes across the whole window are plotting conveniences and one parallelism default; nothing in the entries points at new distance measures, new input formats, or expanded scope. The release cadence — five years between 0.6 and 0.8 — reads as a tool the author considers done.

◆ Prediction

Further releases are likely to stay small: a plotting option, a parallelism detail, or a check-farm fix. The entries give no signal of planned feature work.

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.

Alternatives to lineup2 and modeltime.resample

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 lineup2 or modeltime.resample.

See all lineup2 alternatives → · See all modeltime.resample alternatives →

Recent activity from lineup2 and modeltime.resample

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

  1. 1mo agolineup2cores=0 now leaves one core free
  2. 11mo agomodeltime.resampletune 2.0 support, deterministic seeding, clearer errors
  3. 11mo agomodeltime.resampleDependency cleanup ahead of the next tune release
  4. 3y agomodeltime.resampleFixes workflows in regression mode
  5. 4y agomodeltime.resampleUpdates for hardhat 1.0.0
  6. 5y agolineup2plot_sample() gains xlim and ylim control
  7. 5y agolineup2plot_sample() and the propdiff distance added
  8. 5y agolineup2Package description revised for CRAN resubmission

Frequently asked questions

What is the difference between lineup2 and modeltime.resample?

They serve adjacent needs but don't currently overlap on shipped themes. lineup2 and modeltime.resample 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 lineup2 better than modeltime.resample?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. lineup2 and modeltime.resample 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 lineup2?

Top lineup2 alternatives in Analytics are ranked by recent ship velocity. Browse the "lineup2 alternatives" section above for the current picks, or visit /alternatives/lineup2-r for the full list with editorial commentary on each.

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.