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hoardr vs mlr3spatial

A side-by-side editorial comparison of hoardr and mlr3spatial — release velocity, themes, recent moves, and the top alternatives to consider.

hoardr vs mlr3spatial: at a glance

Featurehoardrmlr3spatial
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themescaching, r-package, ropensci, infrastructuremlr3, spatial, raster, prediction
Last editorial update58m ago7h ago
WebsiteVisit →Visit →

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 →

What is mlr3spatial?

Raster prediction in mlr3 finally returns class probabilities, not just hard labels.

mlr3spatial connects mlr3 learners to raster and vector spatial data, handling chunked prediction over large rasters through DataBackendRaster. Development is slow and fix-heavy: most releases in the last two years were compatibility work against mlr3 and paradox rather than new capability. 0.7.0 is the exception.

Read the full mlr3spatial trajectory →

hoardr vs mlr3spatial: editorial side-by-side

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.

M
mlr3spatial
ANALYTICS
0.0

Raster prediction in mlr3 finally returns class probabilities, not just hard labels.

◆ Current state

mlr3spatial connects mlr3 learners to raster and vector spatial data, handling chunked prediction over large rasters through DataBackendRaster. Development is slow and fix-heavy: most releases in the last two years were compatibility work against mlr3 and paradox rather than new capability. 0.7.0 is the exception.

◆ Where it's heading

The package tracks the mlr3 core rather than leading it — 0.5.0 and 0.6.1 exist to absorb upstream changes in paradox and mlr3. Against that background, 0.7.0 adding probability predictions to predict_spatial() is the first genuine capability increase in a while, arriving alongside two DataBackendRaster fixes for multi-band sources and similarly-named layers. Cadence is roughly one release per year.

◆ Prediction

Given the pattern, the next release is more likely to be compatibility work against a new mlr3 or terra version than another feature; further raster-backend edge cases around layer naming are the visible loose end.

Alternatives to hoardr and mlr3spatial

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 hoardr or mlr3spatial.

See all hoardr alternatives → · See all mlr3spatial alternatives →

Recent activity from hoardr and mlr3spatial

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

  1. 1mo agomlr3spatialpredict_spatial() gains probability predictions
  2. 10mo agomlr3spatialCompatibility with mlr3 1.2.0
  3. 1y agomlr3spatialError on conflicting X/Y columns in sf objects
  4. 1y agohoardrPaths use forward slashes on every platform
  5. 2y agomlr3spatialCompatibility with paradox 1.0.0
  6. 2y agohoardrTest-only patch for a CRAN failure
  7. 3y agomlr3spatialUse terra::inMemory() instead of the @ptr slot
  8. 3y agomlr3spatialspatial_predict() accepts stars, sf and Raster* inputs
  9. 3y agohoardrPatch release for maintainer handover
  10. 7y agohoardrFixes cache paths leaking between HoardClient instances
  11. 7y agohoardrFile-existence checks and full-path cache configuration
  12. 9y agohoardrCRAN disk-writing policy compliance

Frequently asked questions

What is the difference between hoardr and mlr3spatial?

They serve adjacent needs but don't currently overlap on shipped themes. hoardr and mlr3spatial 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 hoardr better than mlr3spatial?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. hoardr and mlr3spatial 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 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.

What are the best alternatives to mlr3spatial?

Top mlr3spatial alternatives in Analytics are ranked by recent ship velocity. Browse the "mlr3spatial alternatives" section above for the current picks, or visit /alternatives/mlr3spatial for the full list with editorial commentary on each.