← Back to home
Comparison · Analytics

rnaturalearth vs stacks

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

rnaturalearth vs stacks: at a glance

Featurernaturalearthstacks
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesspatial-data, natural-earth, sf-migration, geopackagetidymodels, ensembling, parallel-processing, future-framework
Last editorial update55m ago1h ago
WebsiteVisit →Visit →

What is rnaturalearth?

rnaturalearth finished its sp exit and is now optimising how the data actually arrives.

1.0.0 ended sp support outright, making sf the default and offering terra's SpatVector via `returnclass`, after 0.3.3 had signposted that with lifecycle badges. The two releases since move to delivery mechanics: 1.1.0 reads data directly out of the zip through the GDAL Virtual File System, starts moving unloaded downloads to GeoPackage instead of shapefile, and switches the base URL to naciscdn.org; 1.2.0 adds caching to `ne_download()` when `destdir` is persistent, swaps devtools for pak when installing the companion data packages, and handles Natural Earth's inconsistent raster zip layouts.

Read the full rnaturalearth trajectory →

What is stacks?

Model stacking in tidymodels, quietly migrating off foreach and onto future

stacks builds ensembles from tidymodels tuning results, and its release history is dominated by one long project: replacing foreach-based parallelism with the future framework. That transition completed in 1.1.0, where foreach backends began being ignored with a warning and the minimum R version rose to 4.1. Releases are infrequent and small, with the most recent being a CRAN re-submission rather than a change.

Read the full stacks trajectory →

rnaturalearth vs stacks: editorial side-by-side

R
rnaturalearth
ANALYTICS
0.0

rnaturalearth finished its sp exit and is now optimising how the data actually arrives.

◆ Current state

1.0.0 ended sp support outright, making sf the default and offering terra's SpatVector via `returnclass`, after 0.3.3 had signposted that with lifecycle badges. The two releases since move to delivery mechanics: 1.1.0 reads data directly out of the zip through the GDAL Virtual File System, starts moving unloaded downloads to GeoPackage instead of shapefile, and switches the base URL to naciscdn.org; 1.2.0 adds caching to `ne_download()` when `destdir` is persistent, swaps devtools for pak when installing the companion data packages, and handles Natural Earth's inconsistent raster zip layouts.

◆ Where it's heading

With the class question settled, the work has shifted to not re-downloading and not unpacking — VFS reads, caching, and a container format that does not need a sidecar of four files. That points at the package being used in repeated or automated contexts rather than interactive one-offs. The shapefile-to-GeoPackage transition is explicitly incomplete.

◆ Prediction

Completing the GeoPackage transition for `load = FALSE` downloads is the obvious next step, since 1.1.0 described it as in progress.

S
stacks
ANALYTICS
0.0

Model stacking in tidymodels, quietly migrating off foreach and onto future

◆ Current state

stacks builds ensembles from tidymodels tuning results, and its release history is dominated by one long project: replacing foreach-based parallelism with the future framework. That transition completed in 1.1.0, where foreach backends began being ignored with a warning and the minimum R version rose to 4.1. Releases are infrequent and small, with the most recent being a CRAN re-submission rather than a change.

◆ Where it's heading

The package is mature and its remaining work is compatibility rather than capability — tracking the parallelism story across tidymodels, keeping object sizes sane after butchering and reloading, and staying aligned with recipes deprecations. The augment() method added for vetiver compatibility shows the same instinct: fit into the surrounding ecosystem rather than grow independently of it. Nothing in the visible history suggests new ensembling methods are being pursued.

◆ Prediction

With the future migration finished, the next release is most likely maintenance keeping pace with tune and recipes rather than anything users would notice.

Alternatives to rnaturalearth and stacks

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 rnaturalearth or stacks.

See all rnaturalearth alternatives → · See all stacks alternatives →

Recent activity from rnaturalearth and stacks

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

  1. 6mo agornaturalearthrnaturalearth 1.2.0
  2. 1y agornaturalearthrnaturalearth 1.1.0
  3. 1y agostacksstacks 1.1.1 re-released to clear a CRAN check note
  4. 1y agostacksstacks 1.1.0 completes the move to future-based parallelism
  5. 2y agostacksstacks 1.0.5 fixes butchered stack size inflation
  6. 2y agostacksstacks 1.0.4 introduces future-based parallel processing
  7. 2y agornaturalearthrnaturalearth 1.0.0 drops sp for sf and terra
  8. 2y agostacksstacks 1.0.3 clears recipes deprecations and a type-check bug
  9. 3y agornaturalearthrnaturalearth 0.3.3 deprecates sp, imports terra
  10. 3y agostacksstacks 1.0.2 adds an augment() method for vetiver compatibility

Frequently asked questions

What is the difference between rnaturalearth and stacks?

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

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

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

What are the best alternatives to stacks?

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