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rasterpic vs ribd

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

rasterpic vs ribd: at a glance

Featurerasterpicribd
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesr, geospatial, raster, terrastatistical-genetics, pedigree-analysis, relatedness-coefficients, r-packages
Last editorial update12m ago2h ago
WebsiteVisit →Visit →

What is rasterpic?

rasterpic became an S3 generic and picked up stars support; the rest is upkeep

rasterpic georeferences ordinary images onto spatial objects, producing terra SpatRasters that can be plotted as basemaps or overlays. The package is small and its job is narrow. The meaningful recent change is 0.5.0, which turned rasterpic_img() into an S3 generic with methods per input class and added support for stars objects alongside sf and terra.

Read the full rasterpic trajectory →

What is ribd?

The pedsuite's coefficient engine: broadening what it computes, then making the plots publishable.

ribd computes relatedness coefficients from pedigrees, covering kinship, inbreeding, kappa, condensed and detailed identity coefficients, and two-locus versions of several of these, in autosomal and X-chromosomal form. The IBD triangle is now drawable in base graphics, ggplot2 or plotly, with an optional inset pedigree, and custom relationships can be placed on it. The most recent release is dominated by correctness work, fixing pair ordering and row alignment in coefficient tables and edge cases for pedigree lists, unrelated individuals and self-pairs.

Read the full ribd trajectory →

rasterpic vs ribd: editorial side-by-side

R
rasterpic
ANALYTICS
0.0

rasterpic became an S3 generic and picked up stars support; the rest is upkeep

◆ Current state

rasterpic georeferences ordinary images onto spatial objects, producing terra SpatRasters that can be plotted as basemaps or overlays. The package is small and its job is narrow. The meaningful recent change is 0.5.0, which turned rasterpic_img() into an S3 generic with methods per input class and added support for stars objects alongside sf and terra.

◆ Where it's heading

The direction is broader input-class coverage inside the same single-function design, and tighter integration with the plotting ecosystem downstream. 0.3.0 renamed output layers to r/g/b/alpha specifically to stay compatible with tmap 4.0; 0.5.1 restored the RGB specification on masked and inverted output after it regressed, and moved errors and warnings to cli formatting. Releases are frequent but small.

◆ Prediction

With the generic in place, adding further input classes is now cheap, so that is the likely direction. The 0.5.1 regression on mask/inverse output suggests the RGB-specification path is the fragile part worth watching.

R
ribd
ANALYTICS
2.5

The pedsuite's coefficient engine: broadening what it computes, then making the plots publishable.

◆ Current state

ribd computes relatedness coefficients from pedigrees, covering kinship, inbreeding, kappa, condensed and detailed identity coefficients, and two-locus versions of several of these, in autosomal and X-chromosomal form. The IBD triangle is now drawable in base graphics, ggplot2 or plotly, with an optional inset pedigree, and custom relationships can be placed on it. The most recent release is dominated by correctness work, fixing pair ordering and row alignment in coefficient tables and edge cases for pedigree lists, unrelated individuals and self-pairs.

◆ Where it's heading

The arc runs from generality to presentation to precision. Early releases replaced narrow functions with general ones, most visibly when gKinship() absorbed generalisedKinship() and identityCoefs() superseded the separate autosomal and X-chromosomal identity functions in favour of an Xchrom argument. The middle stretch turned the IBD triangle into a proper plotting surface across three graphics systems. The current phase reads as consolidation, with the newest release listing six bug fixes against four features, several of them alignment errors in output tables, which is where a coefficient library most needs to be exactly right.

◆ Prediction

The two new internal functions in the latest release, inbreedingContributions() and ancestralKinship(), are the kind of thing that surfaces publicly a release or two later, so expect them to become exported decomposition tools. The correctness push through pedigree lists and edge cases suggests the near-term focus stays on hardening rather than new coefficient families.

Alternatives to rasterpic and ribd

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 rasterpic or ribd.

See all rasterpic alternatives → · See all ribd alternatives →

Recent activity from rasterpic and ribd

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

  1. 12d agoribdCustom relationships on the IBD triangle; six alignment and edge-case fixes
  2. 1mo agorasterpiccli-formatted messages; RGB specification restored for masked output
  3. 2mo agorasterpicrasterpic_img() becomes an S3 generic with stars support
  4. 4mo agorasterpicVignettes migrated to Quarto
  5. 7mo agorasterpicNew logo; minimum R raised to 4.1.0
  6. 1y agorasterpicOutput layers renamed r/g/b/alpha for tmap 4.0 compatibility
  7. 1y agoribdkappaIBD() can skip across-component pairs on large pedigrees
  8. 1y agorasterpicOutput declared as RGB raster; unused dependencies removed
  9. 2y agoribdIBD triangle plots gain ggplot2 and plotly backends, plus inset pedigrees
  10. 3y agoribdTriangle line clipping, automatic plot margins, citation info
  11. 3y agoribdTwo-locus functions overhauled; twoLocusInbreeding and ELR added
  12. 4y agoribdIdentity coefficients unified behind identityCoefs() and an Xchrom argument

Frequently asked questions

What is the difference between rasterpic and ribd?

They serve adjacent needs but don't currently overlap on shipped themes. ribd is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is rasterpic better than ribd?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ribd is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to rasterpic?

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

What are the best alternatives to ribd?

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