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Comparison · Infra & APIs

forestploter vs SLmetrics

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

Shared themes:r-package

forestploter vs SLmetrics: at a glance

FeatureforestploterSLmetrics
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesdata-visualization, clinical-trials, forest-plots, meta-analysismachine-learning, model-evaluation, performance, cpp-backend
Last editorial update1h ago2d ago
WebsiteVisit →Visit →

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 →

What is SLmetrics?

A young ML metrics package rewrote its own backend twice in six months chasing speed.

SLmetrics provides supervised learning evaluation metrics for R — confusion matrices, classification and regression measures, ROC and precision-recall curves — with the computation pushed into C++. After a series of pre-releases it now runs on an Armadillo backend, supports OpenMP parallelism and LAPACK/BLAS, and reports 5-20x speedups over its earlier implementations. The API has been reshaped for extensibility, with an estimator argument replacing the fixed aggregation options.

Read the full SLmetrics trajectory →

forestploter vs SLmetrics: editorial side-by-side

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.

S
SLmetrics
INFRA · APIS
0.0

A young ML metrics package rewrote its own backend twice in six months chasing speed.

◆ Current state

SLmetrics provides supervised learning evaluation metrics for R — confusion matrices, classification and regression measures, ROC and precision-recall curves — with the computation pushed into C++. After a series of pre-releases it now runs on an Armadillo backend, supports OpenMP parallelism and LAPACK/BLAS, and reports 5-20x speedups over its earlier implementations. The API has been reshaped for extensibility, with an estimator argument replacing the fixed aggregation options.

◆ Where it's heading

Every release in this timeline is about making the same metrics compute faster or compose better. The backend moved from Rcpp to plain C++, gained OpenMP, then was ported wholesale from Eigen to Armadillo with heavy templating. In parallel the author has been widening the API's joints: generic S3 signatures, an extensible estimator argument, and function signatures loose enough that wrapping packages can rename arguments. Bundled datasets and embedded formulas in the docs point at teaching and benchmarking use. The package still labels itself pre-release, which is consistent with how freely it has broken argument names along the way.

◆ Prediction

A stable non-pre-release version is the natural next step now that the backend has settled on Armadillo, though the repeated willingness to rename arguments suggests more API churn may come first.

Alternatives to forestploter and SLmetrics

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 forestploter or SLmetrics.

See all forestploter alternatives → · See all SLmetrics alternatives →

Recent activity from forestploter and SLmetrics

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

  1. 3mo agoforestploterTheme parameters deprecated; cell gaps removed, ticks improved
  2. 3mo agoforestploterMulti-column legends and full-height vertical lines
  3. 1y agoSLmetricsArmadillo backend brings 5-20x speedups and an extensible metrics API
  4. 1y agoSLmetricsConsistent S3 signatures and three bundled datasets
  5. 1y agoSLmetricsRegression metrics 2-10x faster with reworked OpenMP controls
  6. 1y agoSLmetricsOpenMP parallelism and a soft-label entropy family
  7. 1y agoSLmetricsCross-entropy loss and relative RMSE with three normalisations
  8. 1y agoSLmetricsSample weights flow through the confusion matrix
  9. 2y agoforestploterFull graphical control over titles, legends, axis and footnotes
  10. 2y agoforestploterTick digit calculation improved; automatic cell height removed
  11. 3y agoforestploterCustom CI and summary drawing functions; boxplots inside the plot
  12. 3y agoforestploterArbitrary grobs and math symbols can be placed in cells

Frequently asked questions

What is the difference between forestploter and SLmetrics?

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

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

What are the best alternatives to SLmetrics?

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