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ggstats vs qtl2fst

A side-by-side editorial comparison of ggstats and qtl2fst — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

ggstats vs qtl2fst: at a glance

Featureggstatsqtl2fst
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, data-visualization, likert, regression-modelsr-package, genetics, memory-efficiency, on-disk-storage
Last editorial update49m ago1h ago
WebsiteVisit →Visit →

What is ggstats?

ggstats keeps widening what a coefficient or Likert plot can be

ggstats extends ggplot2 with statistical plotting: model coefficient plots, Likert and diverging bar charts, proportion geometries and the helpers that make them behave. Recent releases have added an experimental gglikert_side(), left and right total columns for gglikert(), and survey-object support across the Likert family. Development is steady and CRAN-paced, with releases every two to three months.

Read the full ggstats trajectory →

What is qtl2fst?

The out-of-memory backend for R/qtl2, feature-complete since 2020 and now purely on upkeep

qtl2fst backs R/qtl2 genotype probabilities with on-disk fst files so large crosses don't have to fit in RAM. Its defining release was 0.22 in 2020, which added calc_genoprob_fst() and genoprob_to_alleleprob_fst() to fuse calculation and storage in one step. The five releases since are documentation links, directory-creation robustness, a Windows example fix, and — in 0.32 — a change to how cores=0 is interpreted.

Read the full qtl2fst trajectory →

ggstats vs qtl2fst: editorial side-by-side

G
ggstats
ANALYTICS
0.0

ggstats keeps widening what a coefficient or Likert plot can be

◆ Current state

ggstats extends ggplot2 with statistical plotting: model coefficient plots, Likert and diverging bar charts, proportion geometries and the helpers that make them behave. Recent releases have added an experimental gglikert_side(), left and right total columns for gglikert(), and survey-object support across the Likert family. Development is steady and CRAN-paced, with releases every two to three months.

◆ Where it's heading

Two long-running threads. The coefficient side has been consolidating — ggcoef_multinom() and ggcoef_multicomponents() soft-deprecated in favour of a unified ggcoef_model() with group_by, plus new ggcoef_dodged() and ggcoef_faceted() variants. The Likert side keeps expanding outward instead, absorbing survey objects, total columns and side-by-side layouts. Underneath both is a steady tax of ggplot2 and vctrs compatibility work, including tracking the geom_errorbarh() deprecation in ggplot2 4.0.0.

◆ Prediction

Expect gglikert_side() to lose its experimental status once its interface settles, and the deprecated multinomial entry points to be removed in a future release now that ggcoef_model() covers their cases.

Q
qtl2fst
ANALYTICS
0.0

The out-of-memory backend for R/qtl2, feature-complete since 2020 and now purely on upkeep

◆ Current state

qtl2fst backs R/qtl2 genotype probabilities with on-disk fst files so large crosses don't have to fit in RAM. Its defining release was 0.22 in 2020, which added calc_genoprob_fst() and genoprob_to_alleleprob_fst() to fuse calculation and storage in one step. The five releases since are documentation links, directory-creation robustness, a Windows example fix, and — in 0.32 — a change to how cores=0 is interpreted.

◆ Where it's heading

The package has settled into the role of a stable satellite of R/qtl2: it tracks the parent package's conventions rather than setting its own. The cores=0 change in 0.32 arrived alongside the identical change in qtl2convert, so the parallel-computing default is being standardized across the maintainer's packages at once. Release intervals have stretched from months to years.

◆ Prediction

Further releases will most likely mirror changes originating in R/qtl2 or CRAN checks, in the same follow-the-parent pattern as 0.24 and 0.32.

Alternatives to ggstats and qtl2fst

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 ggstats or qtl2fst.

See all ggstats alternatives → · See all qtl2fst alternatives →

Recent activity from ggstats and qtl2fst

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

  1. 1mo agoqtl2fstcores=0 now leaves one core free instead of taking all
  2. 5mo agoggstatsgglikert_side() and total columns for Likert plots
  3. 7mo agoggstatsLikert functions accept survey objects
  4. 11mo agoggstatsTable output for ggcoef_compare(); x-axis limits harmonised
  5. 1y agoggstatsggstats 0.10.0
  6. 1y agoggstatsCoefficient plots unified around ggcoef_model() with grouping
  7. 1y agoggstatsDiverging and Likert geoms redesigned; connector geoms added
  8. 1y agoqtl2fstWindows fix for the replace_path() example
  9. 2y agoqtl2fstDocumentation link fix
  10. 4y agoqtl2fstCreates missing directories instead of erroring out
  11. 5y agoqtl2fstTest coverage for qtl2 functions against fst-backed probabilities
  12. 6y agoqtl2fstDocumentation and metadata cleanup for CRAN

Frequently asked questions

What is the difference between ggstats and qtl2fst?

Both compete on the same themes — r-package — within Analytics. ggstats and qtl2fst 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 ggstats better than qtl2fst?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggstats and qtl2fst 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 ggstats?

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

What are the best alternatives to qtl2fst?

Top qtl2fst alternatives in Analytics are ranked by recent ship velocity. Browse the "qtl2fst alternatives" section above for the current picks, or visit /alternatives/qtl2fst for the full list with editorial commentary on each.