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Comparison · Analytics

admiralonco vs fabletools

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

admiralonco vs fabletools: at a glance

Featureadmiraloncofabletools
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesoncology, adam, pharmaverse, deprecationforecasting, tidyverts, model-combination, reconciliation
Last editorial update3h ago59m ago
WebsiteVisit →Visit →

What is admiralonco?

The oncology ADaM helper is dissolving into admiral core, one deprecation at a time.

admiralonco is the oncology companion to admiral, and it ships response-criteria recipes rather than code: RECIST, iRECIST, IMWG, GCIG and PCWG3 each arrive as a vignette plus an ADaM template. Cadence is one or two releases a year, each adding a criteria vignette. The 1.4.0 release began deprecating most of the package's own exported functions in favour of generic admiral equivalents.

Read the full admiralonco trajectory →

What is fabletools?

The tidyverts forecasting core rebuilt model combination on full residual covariance.

fabletools is the framework layer under fable and fpp3 — mables, fables, accuracy measures, reconciliation, and the model arithmetic that lets forecasters express ensembles as expressions. Version 0.8.0 reworked that arithmetic: combination now uses a joint N-way convolution accounting for the full residual covariance across components rather than composing pairwise, and every arithmetic operator collapses to a single model_combination with correctly implied weights, so nested expressions like ((m1 + m2)/2 + m3)/2 flatten automatically. In parallel, the package has been shedding graphics to {ggtime} on a deliberately slow deprecation clock.

Read the full fabletools trajectory →

admiralonco vs fabletools: editorial side-by-side

A
admiralonco
ANALYTICS
0.0

The oncology ADaM helper is dissolving into admiral core, one deprecation at a time.

◆ Current state

admiralonco is the oncology companion to admiral, and it ships response-criteria recipes rather than code: RECIST, iRECIST, IMWG, GCIG and PCWG3 each arrive as a vignette plus an ADaM template. Cadence is one or two releases a year, each adding a criteria vignette. The 1.4.0 release began deprecating most of the package's own exported functions in favour of generic admiral equivalents.

◆ Where it's heading

The package is converging on a documentation-and-templates model: reusable derivation logic moves upstream into admiral, and admiralonco keeps only the oncology-specific know-how. Every release since 1.0.0 has added a criteria vignette rather than new exported functions, and 1.4.1 extends that by making the template set browsable from the Get Started menu. The surface users program against is shrinking while the guidance they read is growing.

◆ Prediction

Expect the deprecation cycle started in 1.4.0 to advance through its warning and error phases across the next one or two releases, with new work arriving as another response-criteria vignette rather than new functions.

F
fabletools
ANALYTICS
0.0

The tidyverts forecasting core rebuilt model combination on full residual covariance.

◆ Current state

fabletools is the framework layer under fable and fpp3 — mables, fables, accuracy measures, reconciliation, and the model arithmetic that lets forecasters express ensembles as expressions. Version 0.8.0 reworked that arithmetic: combination now uses a joint N-way convolution accounting for the full residual covariance across components rather than composing pairwise, and every arithmetic operator collapses to a single model_combination with correctly implied weights, so nested expressions like ((m1 + m2)/2 + m3)/2 flatten automatically. In parallel, the package has been shedding graphics to {ggtime} on a deliberately slow deprecation clock.

◆ Where it's heading

The framework is being narrowed and deepened at the same time. Narrowed, because plotting is moving out to a dedicated package over an announced two-year deprecation, leaving fabletools to modeling infrastructure. Deepened, because the recent statistical work targets correctness in places users could not easily inspect — combination weights, inverse-variance weighting computed on response rather than innovation residuals, reconciliation coherency matrices exposed via coherent_smat() and coherent_cmat(). Class hygiene follows the same instinct, with mdl_lst replacing lst_mdl and gaining augment(), glance(), and tidy() so global and reconciliation models report statistics like any other.

◆ Prediction

With combination and reconciliation infrastructure freshly reworked, the remaining announced work is the ggtime separation, so expect the graphics re-exports to keep degrading toward removal while modeling changes stay incremental.

Alternatives to admiralonco and fabletools

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 admiralonco or fabletools.

See all admiralonco alternatives → · See all fabletools alternatives →

Recent activity from admiralonco and fabletools

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

  1. 1mo agofabletoolsModel combination rebuilt on joint N-way convolution
  2. 2mo agoadmiraloncoTemplate explorer vignette added to Get Started
  3. 3mo agofabletoolsCoherency matrices exposed, mdl_lst gains tidier methods
  4. 5mo agofabletoolsGraphics methods now require fabletools to be attached
  5. 6mo agofabletoolsTime series graphics migrating out to ggtime
  6. 6mo agoadmiraloncoPSA endpoints land as function deprecation begins
  7. 8mo agofabletoolsggplot2 4.0.0 compatibility patch
  8. 8mo agofabletoolsIRF() generic and multivariate bootstrap sample paths
  9. 11mo agoadmiraloncoPCWG3 response criteria vignette added
  10. 1y agoadmiraloncoGCIG response criteria vignette added
  11. 2y agoadmiraloncoIMWG response criteria vignette added
  12. 2y agoadmiraloncoiRECIST response criteria vignette added

Frequently asked questions

What is the difference between admiralonco and fabletools?

They serve adjacent needs but don't currently overlap on shipped themes. admiralonco and fabletools 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 admiralonco better than fabletools?

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

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

What are the best alternatives to fabletools?

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