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hstats vs monitOS

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

hstats vs monitOS: at a glance

FeaturehstatsmonitOS
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesinteraction statistics, partial dependence, model explainability, r packageclinical trials, overall survival, novartis, shiny
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is hstats?

hstats settled into maintenance after its 1.0 restructuring, with model coverage the only thing still growing.

hstats computes Friedman's H-statistics, partial dependence, ICE curves and permutation importance for any model exposing a prediction function. The releases in view are consolidation: performance work on plain data.frames, ICE facetting for multioutput models, ranger survival support, and a ggplot 4.0 compatibility pass in 2025. The package moved to the ModelOriented organisation in 1.2.0.

Read the full hstats 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 →

hstats vs monitOS: editorial side-by-side

H
hstats
ANALYTICS
0.0

hstats settled into maintenance after its 1.0 restructuring, with model coverage the only thing still growing.

◆ Current state

hstats computes Friedman's H-statistics, partial dependence, ICE curves and permutation importance for any model exposing a prediction function. The releases in view are consolidation: performance work on plain data.frames, ICE facetting for multioutput models, ranger survival support, and a ggplot 4.0 compatibility pass in 2025. The package moved to the ModelOriented organisation in 1.2.0.

◆ Where it's heading

The structural work — the hstats_matrix object, quantile approximation, revised plotting — landed in 1.0.0 just outside this window, and nothing since has changed the package's shape. What continues is model-coverage plumbing: mlr3 classification modes, ranger survival behind a survival argument, and factor predictions added in 1.1.0 then removed again in 1.2.0. The most recent releases are compatibility-driven, tracking ggplot2 rather than the interaction statistics.

◆ Prediction

Expect the next release to be another dependency-compatibility pass or a new model backend working out of the box, rather than new interaction statistics.

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 hstats 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 hstats or monitOS.

See all hstats alternatives → · See all monitOS alternatives →

Recent activity from hstats and monitOS

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

  1. 10mo agohstatsggplot 4.0 compatibility and test coverage
  2. 1y agomonitOSRelicensed to MIT; Shiny import and inf-value fixes
  3. 1y agomonitOSv0.1.5-release
  4. 1y agohstatsranger survival models supported out of the box
  5. 2y agohstatsMoves to ModelOriented; factor predictions removed
  6. 2y agohstatsICE facets for multioutput models; mlr3 fixes
  7. 2y agohstatsFaster data.frame paths; NaN H-statistics fixed
  8. 2y agohstatsFactor predictions and line-style 2D partial dependence

Frequently asked questions

What is the difference between hstats and monitOS?

They serve adjacent needs but don't currently overlap on shipped themes. hstats 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 hstats better than monitOS?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. hstats 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 hstats?

Top hstats alternatives in Analytics are ranked by recent ship velocity. Browse the "hstats alternatives" section above for the current picks, or visit /alternatives/hstats 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.