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Comparison · Infra & APIs

FoRecoML vs forestploter

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

Shared themes:r-package

FoRecoML vs forestploter: at a glance

FeatureFoRecoMLforestploter
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesforecasting, machine-learning, hierarchical-reconciliation, time-seriesdata-visualization, clinical-trials, forest-plots, meta-analysis
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is FoRecoML?

The machine-learning arm of a forecast reconciliation toolkit, four months old and already sharing its sibling's plumbing.

FoRecoML brings machine-learning approaches to forecast reconciliation across cross-sectional, temporal, and cross-temporal frameworks through csrml(), terml(), and ctrml(). It reached CRAN in April 2026 and has since spent both releases integrating with FoReco rather than expanding its own method set: results are now FoReco's foreco objects, and print() and summary() report framework, approach, problem dimensions, features, training sample size, combination matrix, and trained models.

Read the full FoRecoML trajectory →

What is forestploter?

A forest plot package that keeps handing users control of one more graphical detail.

forestploter draws forest plots where the layout is driven by the data frame itself, so text columns and confidence intervals sit in the same grid. The theme function has become the package's centre of gravity: it now controls graphical parameters for titles, legends, axis, arrow labels, footnotes, and reference lines, with multi-column and row-order legend controls added most recently. Two releases shipped nine minutes apart in April 2026 after a two-year gap, deprecating some theme parameters, removing inter-cell gaps, and improving tick breaks.

Read the full forestploter trajectory →

FoRecoML vs forestploter: editorial side-by-side

F
FoRecoML
INFRA · APIS
0.0

The machine-learning arm of a forecast reconciliation toolkit, four months old and already sharing its sibling's plumbing.

◆ Current state

FoRecoML brings machine-learning approaches to forecast reconciliation across cross-sectional, temporal, and cross-temporal frameworks through csrml(), terml(), and ctrml(). It reached CRAN in April 2026 and has since spent both releases integrating with FoReco rather than expanding its own method set: results are now FoReco's foreco objects, and print() and summary() report framework, approach, problem dimensions, features, training sample size, combination matrix, and trained models.

◆ Where it's heading

This package is being built as a satellite, not a competitor. Adopting FoReco's exported new_foreco_class() constructor within days of that class appearing means FoRecoML results drop straight into the same print, summary, plot, and components methods as analytically reconciled ones — which is what makes machine-learning and classical reconciliation directly comparable in a single workflow. The 1.1.1 argument-validation work landed in the same minute as the equivalent change in FoReco, so the two are being maintained as one release train.

◆ Prediction

With the integration work done, the next release is more likely to add or expose machine-learning approaches than to keep reshaping output; the structured summary already enumerates features and trained models, which suggests inspection tooling is where attention has been.

F
forestploter
INFRA · APIS
0.0

A forest plot package that keeps handing users control of one more graphical detail.

◆ Current state

forestploter draws forest plots where the layout is driven by the data frame itself, so text columns and confidence intervals sit in the same grid. The theme function has become the package's centre of gravity: it now controls graphical parameters for titles, legends, axis, arrow labels, footnotes, and reference lines, with multi-column and row-order legend controls added most recently. Two releases shipped nine minutes apart in April 2026 after a two-year gap, deprecating some theme parameters, removing inter-cell gaps, and improving tick breaks.

◆ Where it's heading

The direction has been consistent for four years: whatever a user might want to restyle eventually becomes an argument. Point size stopped being transformed, cell height adjustment was removed as unwanted, legends gained size, column, and fill-order control, and vertical lines learned to extend the full plot height and to draw beneath the whiskers. The one structural move was 1.1.0, which let callers supply their own confidence-interval and summary drawing functions — turning a fixed renderer into an extensible one. Everything since has been the arguments that extensibility did not cover.

◆ Prediction

The latest release deprecates theme parameters rather than adding them, which suggests the next one consolidates the theme surface that has grown for four years rather than extending it further.

Alternatives to FoRecoML and forestploter

Other Infra & APIs 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 FoRecoML or forestploter.

See all FoRecoML alternatives → · See all forestploter alternatives →

Recent activity from FoRecoML and forestploter

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

  1. 1mo agoFoRecoMLStructured print and summary for fitted reconciliation models
  2. 1mo agoFoRecoMLAdopts FoReco's foreco class for all reconciliation output
  3. 3mo agoforestploterTheme parameters deprecated; cell gaps removed, ticks improved
  4. 3mo agoforestploterMulti-column legends and full-height vertical lines
  5. 3mo agoFoRecoMLMachine-learning forecast reconciliation arrives on CRAN
  6. 2y agoforestploterFull graphical control over titles, legends, axis and footnotes
  7. 2y agoforestploterTick digit calculation improved; automatic cell height removed
  8. 3y agoforestploterCustom CI and summary drawing functions; boxplots inside the plot
  9. 3y agoforestploterArbitrary grobs and math symbols can be placed in cells

Frequently asked questions

What is the difference between FoRecoML and forestploter?

Both compete on the same themes — r-package — within Infra & APIs. FoRecoML and forestploter 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 FoRecoML better than forestploter?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. FoRecoML and forestploter 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 Infra & APIs products to evaluate alongside.

What are the best alternatives to FoRecoML?

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

What are the best alternatives to forestploter?

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