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Comparison · Infra & APIs
gpkg vs SLmetrics
A side-by-side editorial comparison of gpkg and SLmetrics — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
gpkg vs SLmetrics: at a glance
What is gpkg?
An R interface to GeoPackage that keeps sanding down its own API
gpkg gives R users a direct handle on GeoPackage files — the SQLite-based OGC container for vector and raster layers — through lazy table access, OGR/SQLite dialect queries and terra integration. Recent releases center on raster write ergonomics: automatic NoData selection via auto_nodata and an exported gpkg_default_nodata() following GDAL and terra conventions. Release bodies are cumulative, folding two or three versions into one entry.
What is SLmetrics?
A young ML metrics package rewrote its own backend twice in six months chasing speed.
SLmetrics provides supervised learning evaluation metrics for R — confusion matrices, classification and regression measures, ROC and precision-recall curves — with the computation pushed into C++. After a series of pre-releases it now runs on an Armadillo backend, supports OpenMP parallelism and LAPACK/BLAS, and reports 5-20x speedups over its earlier implementations. The API has been reshaped for extensibility, with an estimator argument replacing the fixed aggregation options.
gpkg vs SLmetrics: editorial side-by-side
gpkg
0.0INFRA · APIS
An R interface to GeoPackage that keeps sanding down its own API
◆ Current state
gpkg gives R users a direct handle on GeoPackage files — the SQLite-based OGC container for vector and raster layers — through lazy table access, OGR/SQLite dialect queries and terra integration. Recent releases center on raster write ergonomics: automatic NoData selection via auto_nodata and an exported gpkg_default_nodata() following GDAL and terra conventions. Release bodies are cumulative, folding two or three versions into one entry.
◆ Where it's heading
The package is still finding its interface shape, and most releases pair a small capability with a deprecation or signature change — destfile giving way to y, gpkg_create_dummy_features deprecated, vapour swapped out for gdalraster. The consistent direction is deferring to GDAL and terra conventions rather than inventing gpkg-specific behaviour, and pushing connection management out of users' hands. Cadence is roughly one release a year with dependency automation now in CI.
◆ Prediction
Expect further alignment of write-path defaults with GDAL conventions and continued deprecation-with-replacement of early argument names, with an ogr2ogr-style path for out-of-memory vector data flagged as a possibility rather than a commitment.
SLmetrics
0.0INFRA · APIS
A young ML metrics package rewrote its own backend twice in six months chasing speed.
◆ Current state
SLmetrics provides supervised learning evaluation metrics for R — confusion matrices, classification and regression measures, ROC and precision-recall curves — with the computation pushed into C++. After a series of pre-releases it now runs on an Armadillo backend, supports OpenMP parallelism and LAPACK/BLAS, and reports 5-20x speedups over its earlier implementations. The API has been reshaped for extensibility, with an estimator argument replacing the fixed aggregation options.
◆ Where it's heading
Every release in this timeline is about making the same metrics compute faster or compose better. The backend moved from Rcpp to plain C++, gained OpenMP, then was ported wholesale from Eigen to Armadillo with heavy templating. In parallel the author has been widening the API's joints: generic S3 signatures, an extensible estimator argument, and function signatures loose enough that wrapping packages can rename arguments. Bundled datasets and embedded formulas in the docs point at teaching and benchmarking use. The package still labels itself pre-release, which is consistent with how freely it has broken argument names along the way.
◆ Prediction
A stable non-pre-release version is the natural next step now that the backend has settled on Armadillo, though the repeated willingness to rename arguments suggests more API churn may come first.
Alternatives to gpkg and SLmetrics
Other Infra & APIs 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 gpkg or SLmetrics.
rapr
rapr generalises its Rangeland Analysis Platform API access one endpoint at a time
b3doc
A small B-Cubed utility for turning R Markdown into publishable docs
logger
R's logging package handed to new maintainers and rebuilt from the inside out
portfoliobacktest
Four dormant years end with a test fix, not a feature
discretetests
Four years of releases land in four minutes as the changelog gets backfilled to GitHub
See all gpkg alternatives → · See all SLmetrics alternatives →
Recent activity from gpkg and SLmetrics
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 4mo agogpkgAutomatic NoData selection for raster writes
- 1y agoSLmetricsArmadillo backend brings 5-20x speedups and an extensible metrics API ⚡
- 1y agogpkgConnection handling reworked; table access via [ and [[
- 1y agoSLmetricsConsistent S3 signatures and three bundled datasets
- 1y agoSLmetricsRegression metrics 2-10x faster with reworked OpenMP controls
- 1y agoSLmetricsOpenMP parallelism and a soft-label entropy family
- 1y agoSLmetricsCross-entropy loss and relative RMSE with three normalisations
- 1y agoSLmetricsSample weights flow through the confusion matrix
- 2y agogpkgSpatial views: dynamic layers that read as static ones
- 2y agogpkgInitial CRAN release, with OGR query support
Frequently asked questions
What is the difference between gpkg and SLmetrics?
Both compete on the same themes — r-package — within Infra & APIs. gpkg and SLmetrics 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 gpkg better than SLmetrics?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. gpkg and SLmetrics 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 Infra & APIs products to evaluate alongside.
What are the best alternatives to gpkg?
Top gpkg alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "gpkg alternatives" section above for the current picks, or visit /alternatives/gpkg for the full list with editorial commentary on each.
What are the best alternatives to SLmetrics?
Top SLmetrics alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "SLmetrics alternatives" section above for the current picks, or visit /alternatives/slmetrics for the full list with editorial commentary on each.