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epiflows vs qqman

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

epiflows vs qqman: at a glance

Featureepiflowsqqman
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, epidemiology, dormant, maintenancegwas, genomics, manhattan-plot, visualization
Last editorial update5h ago1h ago
WebsiteVisit →Visit →

What is epiflows?

epiflows has shipped four releases in eight years, none of which changed the code.

epiflows predicts the spread of infectious disease along population flows between locations, and it is effectively dormant. The whole visible history spans 2018 to 2026 in four entries: the first CRAN release, a Zenodo archival tag, a Roxygen patch whose notes state the functionality is unchanged, and a 2026 release replacing deprecated ggplot2 and tibble calls. No entry describes new epidemiological capability.

Read the full epiflows trajectory →

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 →

epiflows vs qqman: editorial side-by-side

E
epiflows
ANALYTICS
0.0

epiflows has shipped four releases in eight years, none of which changed the code.

◆ Current state

epiflows predicts the spread of infectious disease along population flows between locations, and it is effectively dormant. The whole visible history spans 2018 to 2026 in four entries: the first CRAN release, a Zenodo archival tag, a Roxygen patch whose notes state the functionality is unchanged, and a 2026 release replacing deprecated ggplot2 and tibble calls. No entry describes new epidemiological capability.

◆ Where it's heading

The package is being kept installable rather than developed. The one recent release is dependency maintenance contributed from outside, which is the pattern for RECON-era epidemiology packages that have outlived their original project funding. Two separate entries are both labelled version 0.2.1, so even the version history is not a reliable guide to what changed.

◆ Prediction

Any further releases will most likely be more deprecation cleanup to keep the package on CRAN; there is nothing in the record suggesting active development has resumed.

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.

Alternatives to epiflows and qqman

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 epiflows or qqman.

See all epiflows alternatives → · See all qqman alternatives →

Recent activity from epiflows and qqman

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

  1. 5mo agoepiflowsDeprecated ggplot2 and tibble calls replaced
  2. 3y agoepiflowsRoxygen patch for CRAN checks
  3. 7y agoepiflowsFirst Zenodo archival tag
  4. 8y agoepiflowsFirst CRAN release
  5. 9y agoqqmanREADME image path fix for pandoc
  6. 11y agoqqmanAnnotate SNPs by p-value threshold or per-chromosome top hit
  7. 11y agoqqmanChromosome ticks stop assuming even SNP spacing; axis control opens up
  8. 12y agoqqmanArchival tag for the pre-package standalone script
  9. 12y agoqqmanVignette touch-up
  10. 12y agoqqmanZenodo archival tag, no code change

Frequently asked questions

What is the difference between epiflows and qqman?

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

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

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

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.