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fasster vs monitOS

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

fasster vs monitOS: at a glance

FeaturefasstermonitOS
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themestime series forecasting, state space models, fable, multiple seasonalityclinical trials, overall survival, novartis, shiny
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is fasster?

fasster arrives as a fable-compatible state space model for switching seasonality.

fasster implements FASSTER, a state space model with a switching component in the measurement equation, aimed at series carrying several seasonal patterns and abrupt structural change. Version 0.2.0 is the first substantive release: a formula interface with trend(), season(), fourier(), ARMA() and xreg() plus the %S% switching and %?% conditional operators, and the full fable method set. Parameters come from a filtering-and-smoothing heuristic rather than full optimisation.

Read the full fasster 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 →

fasster vs monitOS: editorial side-by-side

F
fasster
ANALYTICS
0.0

fasster arrives as a fable-compatible state space model for switching seasonality.

◆ Current state

fasster implements FASSTER, a state space model with a switching component in the measurement equation, aimed at series carrying several seasonal patterns and abrupt structural change. Version 0.2.0 is the first substantive release: a formula interface with trend(), season(), fourier(), ARMA() and xreg() plus the %S% switching and %?% conditional operators, and the full fable method set. Parameters come from a filtering-and-smoothing heuristic rather than full optimisation.

◆ Where it's heading

The package sat at a 2018 development version for over seven years, so the news is that it exists as a usable model at all. Implementing the whole fable contract — forecast(), refit(), stream(), interpolate(), components() — means it slots into an existing forecasting workflow instead of asking for its own. The heuristic estimator is the open question these entries leave unanswered.

◆ Prediction

The obvious next step is supplementing the heuristic parameter estimates with proper optimisation, though the two entries here give no direct signal on timing.

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 fasster 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 fasster or monitOS.

See all fasster alternatives → · See all monitOS alternatives →

Recent activity from fasster and monitOS

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

  1. 6mo agofassterFASSTER lands as a complete fable model
  2. 1y agomonitOSRelicensed to MIT; Shiny import and inf-value fixes
  3. 1y agomonitOSv0.1.5-release
  4. 7y agofassterEarly development build

Frequently asked questions

What is the difference between fasster and monitOS?

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

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

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