← Back to home
Comparison · Analytics

qtl2fst vs relialearnr

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

Shared themes:r-package

qtl2fst vs relialearnr: at a glance

Featureqtl2fstrelialearnr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, genetics, memory-efficiency, on-disk-storagereliability-engineering, r-package, education, interactive-tutorials
Last editorial update38m ago1h 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 relialearnr?

The teaching arm of an R reliability suite keeps pace with whatever its analysis siblings ship.

ReliaLearnR is a set of interactive learnr tutorials for reliability engineering, covering life data analysis, reliability testing, RAM concepts, reliability block diagrams, and repairable systems, each with code exercises and quiz questions. It was WeibullR.learnr until the start of 2026, when the rename and a set of shorter function names arrived together. A companion book now supplements the interactive material.

Read the full relialearnr trajectory →

qtl2fst vs relialearnr: 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.

R
relialearnr
ANALYTICS
0.0

The teaching arm of an R reliability suite keeps pace with whatever its analysis siblings ship.

◆ Current state

ReliaLearnR is a set of interactive learnr tutorials for reliability engineering, covering life data analysis, reliability testing, RAM concepts, reliability block diagrams, and repairable systems, each with code exercises and quiz questions. It was WeibullR.learnr until the start of 2026, when the rename and a set of shorter function names arrived together. A companion book now supplements the interactive material.

◆ Where it's heading

The tutorials track the maintainer's analysis packages rather than leading them: repairable systems and mean cumulative function teaching material appeared once the modelling functions for them existed elsewhere in the suite, and the reliability testing tutorial followed the same pattern earlier. Recent work has been about depth rather than coverage — interactive parameter sliders, goodness-of-fit sections, model comparison exercises, more quiz questions per topic. The rename to ReliaLearnR was part of the same suite-wide repositioning away from Weibull-specific branding that the plotting package made.

◆ Prediction

On the established pattern, the next tutorials will follow whatever the analysis packages shipped most recently; the entries do not indicate whether the newer tool-server interfaces will get teaching material of their own.

Alternatives to qtl2fst and relialearnr

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 relialearnr.

See all qtl2fst alternatives → · See all relialearnr alternatives →

Recent activity from qtl2fst and relialearnr

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

  1. 1mo agoqtl2fstcores=0 now leaves one core free instead of taking all
  2. 2mo agorelialearnrBlock diagram and repairable systems tutorials added
  3. 7mo agorelialearnrReliaLearnR 0.3.1
  4. 7mo agorelialearnrRenamed to ReliaLearnR, with shorter tutorial launchers
  5. 1y agorelialearnrWeibullR.learnr 0.2.1
  6. 1y agoqtl2fstWindows fix for the replace_path() example
  7. 1y agorelialearnrReliability testing tutorial covering growth analysis and ALT
  8. 2y agoqtl2fstDocumentation link fix
  9. 3y agorelialearnrFirst release: the life data analysis tutorial
  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 qtl2fst and relialearnr?

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

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

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