← Back to home
Comparison · Analytics

geoarrow-r vs qtl

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

geoarrow-r vs qtl: at a glance

Featuregeoarrow-rqtl
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesgeospatial, r, apache arrow, columnar formatsgenetics, qtl-mapping, statistical-genomics, r-package
Last editorial update7h ago1h ago
WebsiteVisit →Visit →

What is geoarrow-r?

geoarrow tracks the GeoArrow spec and otherwise just keeps compiling

geoarrow gives R zero-copy access to geospatial data in the Arrow columnar format, with conversions to and from sf and wk. The package is thin by design — most of the work lives in vendored copies of geoarrow-c and nanoarrow — and its release notes reflect that: the substantive one in the window implemented GeoArrow 0.2 specification features, and everything since has been compiler warnings and a test fixed for a new sf version.

Read the full geoarrow-r trajectory →

What is qtl?

R/qtl is in pure custodial mode: every recent release answers a compiler, not a user

R/qtl is the long-established R package for QTL mapping in experimental crosses, covering interval mapping, composite interval mapping, multiple-QTL model fitting and the associated cross data formats. Nothing in the recent release history adds capability. Version 1.74 removes an include that started warning on CRAN, 1.72 improves an error message in cim(), and 1.70 migrates the C code from Calloc/Realloc/Free to their R_-prefixed equivalents for R-devel.

Read the full qtl trajectory →

geoarrow-r vs qtl: editorial side-by-side

G
geoarrow-r
ANALYTICS
0.0

geoarrow tracks the GeoArrow spec and otherwise just keeps compiling

◆ Current state

geoarrow gives R zero-copy access to geospatial data in the Arrow columnar format, with conversions to and from sf and wk. The package is thin by design — most of the work lives in vendored copies of geoarrow-c and nanoarrow — and its release notes reflect that: the substantive one in the window implemented GeoArrow 0.2 specification features, and everything since has been compiler warnings and a test fixed for a new sf version.

◆ Where it's heading

Development is downstream of two things the package does not control: the GeoArrow specification and the C libraries it vendors. When the spec added non-PROJJSON CRS types and spheroidal edge interpolations, the R package followed; when the geoarrow.box type appeared, it gained conversions to and from wk::rct(). Between those, releases exist to keep CRAN builds green. The type-selection work in 0.4.0 — letting callers force geoarrow.wkb output when converting from sf — is the only recent change driven by R-side ergonomics rather than upstream.

◆ Prediction

Given that every feature release so far has implemented a spec revision, the next one likely arrives when GeoArrow publishes its next set of extension types rather than on any schedule of its own.

Q
qtl
ANALYTICS
0.0

R/qtl is in pure custodial mode: every recent release answers a compiler, not a user

◆ Current state

R/qtl is the long-established R package for QTL mapping in experimental crosses, covering interval mapping, composite interval mapping, multiple-QTL model fitting and the associated cross data formats. Nothing in the recent release history adds capability. Version 1.74 removes an include that started warning on CRAN, 1.72 improves an error message in cim(), and 1.70 migrates the C code from Calloc/Realloc/Free to their R_-prefixed equivalents for R-devel.

◆ Where it's heading

The package is being maintained, not developed. The work divides cleanly into keeping the compiled code building against successive R and toolchain versions, and fixing narrow bugs reported through the issue tracker. The C-level migrations in particular are compliance with R's tightening of its C interface rather than anything chosen. Users should read the stability as maturity: the analysis surface has been fixed for years and the maintainer is keeping it installable.

◆ Prediction

R has continued to restrict its non-API C entry points, and this package has already made two such migrations, so further compile-time compliance work is the most likely content of the next release.

Alternatives to geoarrow-r and qtl

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 geoarrow-r or qtl.

See all geoarrow-r alternatives → · See all qtl alternatives →

Recent activity from geoarrow-r and qtl

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

  1. 2mo agogeoarrow-rgeoarrow 0.4.3
  2. 8mo agoqtlRemove R_ext/PrtUtil.h include flagged by CRAN
  3. 8mo agogeoarrow-rgeoarrow 0.4.1
  4. 8mo agoqtlClearer cim() error when multiple phenotypes are passed
  5. 10mo agogeoarrow-rgeoarrow lets callers choose the geometry type when converting from sf
  6. 1y agogeoarrow-rgeoarrow implements the GeoArrow 0.2 specification features
  7. 1y agoqtlC memory calls migrated to R_Calloc/R_Realloc/R_Free
  8. 2y agogeoarrow-rgeoarrow 0.2.1
  9. 2y agogeoarrow-rLegacy geoarrow tagged before the rewrite
  10. 2y agoqtlFix Rprintf call and remaining compiler warnings
  11. 2y agoqtlFix summary.scanone() thresholds and csvs phenotype reading
  12. 3y agoqtlFix addint()/addcovarint() with X chromosome QTL and missing phenotypes

Frequently asked questions

What is the difference between geoarrow-r and qtl?

They serve adjacent needs but don't currently overlap on shipped themes. geoarrow-r and qtl 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 geoarrow-r better than qtl?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. geoarrow-r and qtl 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 geoarrow-r?

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

What are the best alternatives to qtl?

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