← Back to home
Comparison · Analytics

bundle vs forestly

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

bundle vs forestly: at a glance

Featurebundleforestly
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesserialization, tidymodels, model-deployment, compatibilityclinical-safety, adverse-events, data-visualization, r-language
Last editorial update47m ago1h ago
WebsiteVisit →Visit →

What is bundle?

Four releases in three years, each one teaching the serializer about a model type it couldn't carry

bundle solves a narrow, real problem: many R model objects hold pointers to external state — compiled boosters, Java handles, torch tensors — that do not survive being saved and reloaded in another session. It wraps them so they do. The package has shipped four releases since 2022, and the shape of each is the same: extend coverage to another model class, or repair coverage that an upstream release broke.

Read the full bundle 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 →

bundle vs forestly: editorial side-by-side

B
bundle
ANALYTICS
0.0

Four releases in three years, each one teaching the serializer about a model type it couldn't carry

◆ Current state

bundle solves a narrow, real problem: many R model objects hold pointers to external state — compiled boosters, Java handles, torch tensors — that do not survive being saved and reloaded in another session. It wraps them so they do. The package has shipped four releases since 2022, and the shape of each is the same: extend coverage to another model class, or repair coverage that an upstream release broke.

◆ Where it's heading

Coverage is the product, so the release cadence is set by the ecosystem rather than by a roadmap. dbarts arrived in 0.1.2, along with extra work to preserve xgboost's nfeatures and feature_names through a round trip; 0.1.3 exists because xgboost changed its model format again. The 0.1.1 fix — recipes steps nested inside workflows — points at the same underlying issue one level up, where the object needing bundling is buried inside a tidymodels pipeline rather than passed directly.

◆ Prediction

Expect the next release to follow the same trigger: either a new parsnip engine that carries external pointers, or another upstream format change in one of the engines already covered. xgboost has now forced two of the four releases.

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 bundle 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 bundle or forestly.

See all bundle alternatives → · See all forestly alternatives →

Recent activity from bundle and forestly

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

  1. 5mo agoforestlyDownload button, AE filter label and diff toggle become optional
  2. 8mo agobundlexgboost bundling updated for newer model versions
  3. 11mo agoforestlyStatic RTF forest plots join the interactive output
  4. 1y agoforestlyreactR 0.6.0 rendering fix and slider label control
  5. 1y agobundledbarts BART models become bundleable
  6. 2y agoforestlyTreatment group selection and rough-edge fixes
  7. 2y agobundleRecipes steps inside workflows now bundle correctly
  8. 3y agoforestlyFirst release on GitHub and CRAN
  9. 3y agobundleFirst CRAN release

Frequently asked questions

What is the difference between bundle and forestly?

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

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

Top bundle alternatives in Analytics are ranked by recent ship velocity. Browse the "bundle alternatives" section above for the current picks, or visit /alternatives/bundle 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.