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forestly vs waywiser

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

forestly vs waywiser: at a glance

Featureforestlywaywiser
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesclinical-safety, adverse-events, data-visualization, r-languagespatial-statistics, model-assessment, tidymodels, cran-compliance
Last editorial update1h ago3h ago
WebsiteVisit →Visit →

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 →

What is waywiser?

Spatial model assessment that spent the last year on cross-platform arithmetic and CRAN rules.

waywiser provides spatial model assessment metrics in a tidymodels idiom — spatial autocorrelation measures, area of applicability, and multi-scale assessment of predictions. The substantive work landed in 0.3.0 through 0.5.0, and the recent releases are consolidation: 0.6.0 made metric functions return NA everywhere they previously returned NaN, because macOS disagreed with every other platform, and taught ww_multi_scale() to handle classification and class probability metrics correctly when given rasters. The three releases since are entirely CRAN policy compliance — no internet downloads during checks, no writing to directories, no syntax that would raise the R version floor.

Read the full waywiser trajectory →

forestly vs waywiser: editorial side-by-side

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.

W
waywiser
ANALYTICS
0.0

Spatial model assessment that spent the last year on cross-platform arithmetic and CRAN rules.

◆ Current state

waywiser provides spatial model assessment metrics in a tidymodels idiom — spatial autocorrelation measures, area of applicability, and multi-scale assessment of predictions. The substantive work landed in 0.3.0 through 0.5.0, and the recent releases are consolidation: 0.6.0 made metric functions return NA everywhere they previously returned NaN, because macOS disagreed with every other platform, and taught ww_multi_scale() to handle classification and class probability metrics correctly when given rasters. The three releases since are entirely CRAN policy compliance — no internet downloads during checks, no writing to directories, no syntax that would raise the R version floor.

◆ Where it's heading

The package has reached the point where the interesting bugs are cross-platform and cross-package rather than statistical. Its main function, ww_multi_scale(), has been the focus of nearly every release since 0.4.0, working through units handling, aggregation ordering, raster inputs and metric-type dispatch. The dependency on vip and the tidymodels metric machinery means a share of releases exist only to track breaking changes elsewhere.

◆ Prediction

Expect the next substantive release to continue on ww_multi_scale() edge cases, given that it has absorbed most of the fixes in this window. The recent run of CRAN-compliance patches suggests no feature work is currently in flight.

Alternatives to forestly and waywiser

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 forestly or waywiser.

See all forestly alternatives → · See all waywiser alternatives →

Recent activity from forestly and waywiser

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

  1. 5mo agoforestlyDownload button, AE filter label and diff toggle become optional
  2. 11mo agoforestlyStatic RTF forest plots join the interactive output
  3. 1y agowaywiserStops downloading data during CRAN checks
  4. 1y agowaywiserVignettes no longer write to CRAN directories
  5. 1y agowaywiserKeeps the R version floor below 4.1
  6. 1y agoforestlyreactR 0.6.0 rendering fix and slider label control
  7. 2y agoforestlyTreatment group selection and rough-edge fixes
  8. 2y agowaywiserNaN results become NA; raster metrics dispatch correctly
  9. 2y agowaywiserGuards against ignored grid arguments; faster on sf data
  10. 2y agowaywiserFixes wrong observation counts and ignored grid units
  11. 3y agoforestlyFirst release on GitHub and CRAN

Frequently asked questions

What is the difference between forestly and waywiser?

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

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

What are the best alternatives to waywiser?

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