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resmush vs ribd

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

resmush vs ribd: at a glance

Featureresmushribd
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesimage optimization, api client, maintenance, r packagesstatistical-genetics, pedigree-analysis, relatedness-coefficients, r-packages
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is resmush?

resmush declared itself finished and has shipped nothing but maintenance since.

resmush compresses images through the reSmush.it API from R. Version 1.0.0 was an explicit maturity statement rather than a feature release: the major version was bumped to signal a stable development state, the minimum R version moved to 4.1.0, and documentation moved to Quarto. The two releases since are console message polish, an internals refactor, and mock-based tests.

Read the full resmush 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 →

resmush vs ribd: editorial side-by-side

R
resmush
ANALYTICS
0.0

resmush declared itself finished and has shipped nothing but maintenance since.

◆ Current state

resmush compresses images through the reSmush.it API from R. Version 1.0.0 was an explicit maturity statement rather than a feature release: the major version was bumped to signal a stable development state, the minimum R version moved to 4.1.0, and documentation moved to Quarto. The two releases since are console message polish, an internals refactor, and mock-based tests.

◆ Where it's heading

This is a package in maintenance by design. The functional surface has not changed since 0.2.2 added a dry-run check and a referer header to the API calls, and the notable earlier change was subtractive, dropping webp when the upstream API stopped accepting it. Recent activity is dominated by dependency bumps and testing work, with mocks replacing live API calls in the test suite.

◆ Prediction

Expect the same maintenance cadence, with the most likely source of a real change being another format or endpoint shift at the reSmush.it API rather than anything originating in the package.

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 resmush 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 resmush or ribd.

See all resmush alternatives → · See all ribd alternatives →

Recent activity from resmush 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 agoresmushTests rewritten to use mocks
  3. 2mo agoresmushClearer console messages for optimization reports
  4. 5mo agoresmushR 4.1 minimum as the package declares maturity
  5. 7mo agoresmushAPI calls verify the compressed file exists first
  6. 1y agoribdkappaIBD() can skip across-component pairs on large pedigrees
  7. 1y agoresmushDocumentation update
  8. 2y agoresmushwebp support removed after the API dropped it
  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 resmush 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 resmush 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 resmush?

Top resmush alternatives in Analytics are ranked by recent ship velocity. Browse the "resmush alternatives" section above for the current picks, or visit /alternatives/resmush 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.