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Comparison · Analytics

modeltime.resample vs monitOS

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

modeltime.resample vs monitOS: at a glance

Featuremodeltime.resamplemonitOS
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestime series, cross-validation, tidymodels, compatibility maintenanceclinical trials, overall survival, novartis, shiny
Last editorial update1h ago1h 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 monitOS?

monitOS relicenses to MIT, the clearest signal in a sparse Novartis release feed.

monitOS is Novartis's R package for monitoring overall survival in clinical trials, with an accompanying Shiny app. The 0.1.6 release changes the licence to MIT, fixes a shiny import problem and an infinite-value bug in the app, and adds spell checking plus issue-tracker and website links. The prior release carries no notes at all beyond a link to the commit history.

Read the full monitOS trajectory →

modeltime.resample vs monitOS: 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.

M
monitOS
ANALYTICS
0.0

monitOS relicenses to MIT, the clearest signal in a sparse Novartis release feed.

◆ Current state

monitOS is Novartis's R package for monitoring overall survival in clinical trials, with an accompanying Shiny app. The 0.1.6 release changes the licence to MIT, fixes a shiny import problem and an infinite-value bug in the app, and adds spell checking plus issue-tracker and website links. The prior release carries no notes at all beyond a link to the commit history.

◆ Where it's heading

For a package published by a pharmaceutical sponsor, the licence change is the substantive item — MIT removes friction for reuse outside Novartis, and the added issue link and website point the same way, toward outside users. Everything else is packaging hygiene. At 0.1.6 with two releases nine months apart, the statistical methodology looks settled while the distribution around it is being tidied.

◆ Prediction

The open-sourcing signals suggest the next release will respond to outside issue reports; the entries give no indication of methodology changes.

Alternatives to modeltime.resample and monitOS

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 monitOS.

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

Recent activity from modeltime.resample and monitOS

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

  1. 11mo agomodeltime.resampletune 2.0 support, deterministic seeding, clearer errors
  2. 11mo agomodeltime.resampleDependency cleanup ahead of the next tune release
  3. 1y agomonitOSRelicensed to MIT; Shiny import and inf-value fixes
  4. 1y agomonitOSv0.1.5-release
  5. 3y agomodeltime.resampleFixes workflows in regression mode
  6. 4y agomodeltime.resampleUpdates for hardhat 1.0.0

Frequently asked questions

What is the difference between modeltime.resample and monitOS?

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

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

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