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bundle vs hoardr

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

bundle vs hoardr: at a glance

Featurebundlehoardr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesserialization, tidymodels, model-deployment, compatibilitycaching, r-package, ropensci, infrastructure
Last editorial update2h 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 hoardr?

A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.

hoardr manages local cache directories for other R packages — where files go, how they are keyed, whether they exist. It underpins caching in several rOpenSci data clients. The last functional additions were in 2018; everything since is a patch issued because CRAN reported a test failure or the maintainer changed.

Read the full hoardr trajectory →

bundle vs hoardr: 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.

H
hoardr
ANALYTICS
0.0

A cache-directory helper that has shipped nothing but CRAN-triggered patches for seven years.

◆ Current state

hoardr manages local cache directories for other R packages — where files go, how they are keyed, whether they exist. It underpins caching in several rOpenSci data clients. The last functional additions were in 2018; everything since is a patch issued because CRAN reported a test failure or the maintainer changed.

◆ Where it's heading

This is infrastructure that has reached its final shape. Three of the last three releases were reactive: two responses to CRAN test-failure notifications, one to a maintainer handover. The single behavioural change in that stretch — forward slashes in paths on every operating system — is a consistency fix for downstream packages rather than a feature. Its release cadence is set by CRAN's checks, not by demand.

◆ Prediction

Expect the next release to be triggered by another CRAN check failure rather than by new functionality, matching every release since 2018.

Alternatives to bundle and hoardr

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 hoardr.

See all bundle alternatives → · See all hoardr alternatives →

Recent activity from bundle and hoardr

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

  1. 8mo agobundlexgboost bundling updated for newer model versions
  2. 1y agohoardrPaths use forward slashes on every platform
  3. 1y agobundledbarts BART models become bundleable
  4. 2y agohoardrTest-only patch for a CRAN failure
  5. 2y agobundleRecipes steps inside workflows now bundle correctly
  6. 3y agohoardrPatch release for maintainer handover
  7. 3y agobundleFirst CRAN release
  8. 7y agohoardrFixes cache paths leaking between HoardClient instances
  9. 7y agohoardrFile-existence checks and full-path cache configuration
  10. 9y agohoardrCRAN disk-writing policy compliance

Frequently asked questions

What is the difference between bundle and hoardr?

They serve adjacent needs but don't currently overlap on shipped themes. bundle and hoardr 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 hoardr?

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

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