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fabletools vs forestly

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

fabletools vs forestly: at a glance

Featurefabletoolsforestly
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesforecasting, tidyverts, model-combination, reconciliationclinical-safety, adverse-events, data-visualization, r-language
Last editorial update1h ago34m ago
WebsiteVisit →Visit →

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 →

What is forestly?

forestly built an interactive safety review tool, then taught it to produce submission-ready RTF.

forestly renders adverse-event forest plots as interactive reactable widgets — filterable by AE category, with sliders for incidence thresholds and a toggle for the risk-difference column. Version 0.1.3 added `rtf_static_forestly()` for static RTF output, and 0.1.4 has been about giving the display owner control over what reviewers see: the CSV download button, the AE filter label, and the diff toggle can each be switched off.

Read the full forestly trajectory →

fabletools vs forestly: editorial side-by-side

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.

F
forestly
ANALYTICS
0.0

forestly built an interactive safety review tool, then taught it to produce submission-ready RTF.

◆ Current state

forestly renders adverse-event forest plots as interactive reactable widgets — filterable by AE category, with sliders for incidence thresholds and a toggle for the risk-difference column. Version 0.1.3 added `rtf_static_forestly()` for static RTF output, and 0.1.4 has been about giving the display owner control over what reviewers see: the CSV download button, the AE filter label, and the diff toggle can each be switched off.

◆ Where it's heading

The arc runs from a fixed interactive widget toward a configurable one with two output modes. Nearly every new argument in the last two releases exists to remove something from the display or relabel it, which suggests the users driving development are producing outputs for others to review under conventions they do not control. The x-axis range, column header, figure header and slider range arguments point the same way — this is a tool being fitted into standardised reporting rather than used ad hoc.

◆ Prediction

Given that the last two releases have consisted almost entirely of display-control arguments, the next is likely more of the same, applied to whichever parts of the interactive layout are still fixed.

Alternatives to fabletools and forestly

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 fabletools or forestly.

See all fabletools alternatives → · See all forestly alternatives →

Recent activity from fabletools and forestly

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

  1. 1mo agofabletoolsModel combination rebuilt on joint N-way convolution
  2. 3mo agofabletoolsCoherency matrices exposed, mdl_lst gains tidier methods
  3. 5mo agoforestlyDownload button, AE filter label and diff toggle become optional
  4. 5mo agofabletoolsGraphics methods now require fabletools to be attached
  5. 6mo agofabletoolsTime series graphics migrating out to ggtime
  6. 8mo agofabletoolsggplot2 4.0.0 compatibility patch
  7. 8mo agofabletoolsIRF() generic and multivariate bootstrap sample paths
  8. 11mo agoforestlyStatic RTF forest plots join the interactive output
  9. 1y agoforestlyreactR 0.6.0 rendering fix and slider label control
  10. 2y agoforestlyTreatment group selection and rough-edge fixes
  11. 3y agoforestlyFirst release on GitHub and CRAN

Frequently asked questions

What is the difference between fabletools and forestly?

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

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

What are the best alternatives to forestly?

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