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qtl2fst vs svines

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

Shared themes:r-package

qtl2fst vs svines: at a glance

Featureqtl2fstsvines
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, genetics, memory-efficiency, on-disk-storagevine-copulas, time-series, dependence-modelling, rcpp
Last editorial update4h ago50m ago
WebsiteVisit →Visit →

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 →

What is svines?

Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.

svines fits stationary vine copula models to multivariate time series, extending the rvinecopulib engine with the serial dependence structure that makes vines usable for temporal data. The visible history is three releases carrying one real addition — pseudo-residual computation and logLik support at 0.2.2 — with the rest tracking its C++ dependency.

Read the full svines trajectory →

qtl2fst vs svines: editorial side-by-side

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.

S
svines
ANALYTICS
0.0

Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.

◆ Current state

svines fits stationary vine copula models to multivariate time series, extending the rvinecopulib engine with the serial dependence structure that makes vines usable for temporal data. The visible history is three releases carrying one real addition — pseudo-residual computation and logLik support at 0.2.2 — with the rest tracking its C++ dependency.

◆ Where it's heading

This package moves when rvinecopulib moves. The 0.2.4 release exists solely to adapt to a new rvinecopulib version, and 0.2.7 carries auto-generated GitHub release notes with no description at all. It shipped on the same day as kde1d 1.1.1, another package from the same maintainer, which is the pattern to watch: changes in the shared C++ layer surface as near-simultaneous releases across the vine family rather than as independent work.

◆ Prediction

The next release most plausibly follows another rvinecopulib update rather than adding modelling capability. Two of the three visible entries carry no substantive notes, so this feed will keep underreporting what changed.

Alternatives to qtl2fst and svines

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 qtl2fst or svines.

See all qtl2fst alternatives → · See all svines alternatives →

Recent activity from qtl2fst and svines

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

  1. 1mo agoqtl2fstcores=0 now leaves one core free instead of taking all
  2. 1y agosvinessvines 0.2.7
  3. 1y agosvinesAdapted to new rvinecopulib version
  4. 1y agoqtl2fstWindows fix for the replace_path() example
  5. 2y agoqtl2fstDocumentation link fix
  6. 2y agosvinesPseudo residuals and logLik support added
  7. 4y agoqtl2fstCreates missing directories instead of erroring out
  8. 5y agoqtl2fstTest coverage for qtl2 functions against fst-backed probabilities
  9. 6y agoqtl2fstDocumentation and metadata cleanup for CRAN

Frequently asked questions

What is the difference between qtl2fst and svines?

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

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

What are the best alternatives to svines?

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