← Back to home
Comparison · Analytics

qtl2fst vs randomwalk

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

qtl2fst vs randomwalk: at a glance

Featureqtl2fstrandomwalk
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, genetics, memory-efficiency, on-disk-storagewebassembly, shinylive, webr, simulation
Last editorial update3h 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 randomwalk?

randomwalk spent every release getting an R simulation to run in the browser, not on a server.

A random walk and fractal-growth simulation package whose entire visible history is about its browser deployment. Six releases in four weeks moved a Shinylive dashboard from a blank black page to a working app — WebAssembly mounted from GitHub releases, CORS resolved by same-origin serving, missing plotting dependencies installed in-browser, then an async version using crew workers with its own debug log. A correctness fix followed, adding termination-position validation so simulations stop producing isolated pixels, and the most recent release publishes the package itself as a webR binary repository.

Read the full randomwalk trajectory →

qtl2fst vs randomwalk: 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
randomwalk
ANALYTICS
0.0

randomwalk spent every release getting an R simulation to run in the browser, not on a server.

◆ Current state

A random walk and fractal-growth simulation package whose entire visible history is about its browser deployment. Six releases in four weeks moved a Shinylive dashboard from a blank black page to a working app — WebAssembly mounted from GitHub releases, CORS resolved by same-origin serving, missing plotting dependencies installed in-browser, then an async version using crew workers with its own debug log. A correctness fix followed, adding termination-position validation so simulations stop producing isolated pixels, and the most recent release publishes the package itself as a webR binary repository.

◆ Where it's heading

The package is being built as a browser artifact first and an R package second: the readme, the vignettes and the release notes all point at a hosted dashboard rather than at library(). The last release completes that by making the compiled WebAssembly build installable by anyone via webr::install(), which turns the deployment work into something reusable outside this project. Version numbers are unreliable here — v0.2.0 was published two weeks after v1.0.2 — so read the dates, not the tags.

◆ Prediction

With the webR repository published, the next work most likely moves back to the simulation itself, though the entries give no direct evidence of planned features.

Alternatives to qtl2fst and randomwalk

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 randomwalk.

See all qtl2fst alternatives → · See all randomwalk alternatives →

Recent activity from qtl2fst and randomwalk

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

  1. 1mo agoqtl2fstcores=0 now leaves one core free instead of taking all
  2. 8mo agorandomwalkPackage published as an installable webR binary repository
  3. 8mo agorandomwalkTermination validation removes isolated pixels from simulations
  4. 8mo agorandomwalkAsync dashboard with crew workers running under WebR
  5. 9mo agorandomwalkBrowser dashboard working end to end
  6. 9mo agorandomwalkMissing plot dependency and parameter display fixed
  7. 9mo agorandomwalkDashboard mounts WebAssembly from GitHub releases
  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 qtl2fst and randomwalk?

They serve adjacent needs but don't currently overlap on shipped themes. qtl2fst and randomwalk 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 randomwalk?

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

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