← Back to home
Comparison · Analytics

qqman vs r4ss

A side-by-side editorial comparison of qqman and r4ss — release velocity, themes, recent moves, and the top alternatives to consider.

qqman vs r4ss: at a glance

Featureqqmanr4ss
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesgwas, genomics, manhattan-plot, visualizationfisheries-stock-assessment, noaa, breaking-changes, r-package
Last editorial update49m ago1h ago
WebsiteVisit →Visit →

What is qqman?

The Manhattan-plot package for GWAS results, finished and dormant since 2017.

qqman does two things: manhattan() and qq() plots for genome-wide association study results. Its six visible releases run from 2014 to a single 2017 packaging fix, and the last release with any user-facing change shipped in 2015. The archive is non-monotonic — a 0.0.0 tag published after 0.1.1 archives the pre-package standalone script — so version order and publication order disagree.

Read the full qqman trajectory →

What is r4ss?

NOAA's Stock Synthesis toolkit renamed its columns and shook the packages built on it.

r4ss reads, writes, runs and plots Stock Synthesis fisheries models, and is the base layer for a set of NOAA assessment packages. The current release tracks SS3 3.30.23.1 with plot and reader fixes. The consequential recent change was structural: the SS_read* functions standardised their column names, which broke downstream packages and forced at least one to pin an older version.

Read the full r4ss trajectory →

qqman vs r4ss: editorial side-by-side

Q
qqman
ANALYTICS
0.0

The Manhattan-plot package for GWAS results, finished and dormant since 2017.

◆ Current state

qqman does two things: manhattan() and qq() plots for genome-wide association study results. Its six visible releases run from 2014 to a single 2017 packaging fix, and the last release with any user-facing change shipped in 2015. The archive is non-monotonic — a 0.0.0 tag published after 0.1.1 archives the pre-package standalone script — so version order and publication order disagree.

◆ Where it's heading

The real development window was 2014 to 2015. The 0.1.2 release did the substantive work, replacing the assumption that SNPs are evenly distributed across chromosomes and handing users control of axis limits, labels and log transformation; 0.1.3 then added annotation by p-value threshold and top-SNP-per-chromosome. After that the package stops. Notably, the archival 0.0.0 entry records that the original script had confidence intervals on QQ plots and richer highlighting than the released package ever regained.

◆ Prediction

With one packaging fix in the last decade, these entries support no prediction of further releases. The package reads as complete for its narrow purpose rather than abandoned mid-arc.

R
r4ss
ANALYTICS
0.0

NOAA's Stock Synthesis toolkit renamed its columns and shook the packages built on it.

◆ Current state

r4ss reads, writes, runs and plots Stock Synthesis fisheries models, and is the base layer for a set of NOAA assessment packages. The current release tracks SS3 3.30.23.1 with plot and reader fixes. The consequential recent change was structural: the SS_read* functions standardised their column names, which broke downstream packages and forced at least one to pin an older version.

◆ Where it's heading

The project explicitly de-emphasises releases — the notes tell users to install the latest development version and treat tags as anchors for dependent packages. That has produced a rhythm of long quiet stretches punctuated by a breaking cleanup: the run-function revamp in 1.46.1, then the column renaming in 1.50.0. Ordinary releases in between are SS3 version tracking.

◆ Prediction

Expect the next tagged release to follow the next SS3 version rather than a fixed schedule, with continued incremental plotting and reader fixes.

Alternatives to qqman and r4ss

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 qqman or r4ss.

See all qqman alternatives → · See all r4ss alternatives →

Recent activity from qqman and r4ss

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

  1. 1y agor4ssTracks SS3 3.30.23.1 with reader and plotting fixes
  2. 2y agor4ssSS_read* column names standardised in a breaking cleanup
  3. 4y agor4ssModel-running functions renamed and standardised
  4. 4y agor4ssCRAN release matching SS3 3.30.19.01
  5. 5y agor4ssCompatibility release for SS3 3.30.17.00
  6. 6y agor4ssCompatibility release for SS3 3.30.15.00
  7. 9y agoqqmanREADME image path fix for pandoc
  8. 11y agoqqmanAnnotate SNPs by p-value threshold or per-chromosome top hit
  9. 11y agoqqmanChromosome ticks stop assuming even SNP spacing; axis control opens up
  10. 12y agoqqmanArchival tag for the pre-package standalone script
  11. 12y agoqqmanVignette touch-up
  12. 12y agoqqmanZenodo archival tag, no code change

Frequently asked questions

What is the difference between qqman and r4ss?

They serve adjacent needs but don't currently overlap on shipped themes. qqman and r4ss 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 qqman better than r4ss?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. qqman and r4ss 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 qqman?

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

What are the best alternatives to r4ss?

Top r4ss alternatives in Analytics are ranked by recent ship velocity. Browse the "r4ss alternatives" section above for the current picks, or visit /alternatives/r4ss for the full list with editorial commentary on each.