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qtl2convert vs rfm

A side-by-side editorial comparison of qtl2convert and rfm — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

qtl2convert vs rfm: at a glance

Featureqtl2convertrfm
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, genetics, format-conversion, cran-maintenancer-package, customer-analytics, segmentation, dependencies
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is qtl2convert?

A conversion utility in pure maintenance mode, tracking R-devel breakage release by release

qtl2convert is the format-shim of the R/qtl2 ecosystem: it moves genotype probabilities and genetic maps between DOQTL, R/qtl and R/qtl2 representations. The last three releases contain no new conversion functions at all — 0.32 fixed a C string comparison flagged by CRAN, 0.34 restored attribute-clearing that R-devel 4.7 changed underneath the package, and 0.36 adjusted parallel core defaults plus a test tweak. The functional surface has been stable since 0.26 added cross2_ril_to_genril().

Read the full qtl2convert trajectory →

What is rfm?

A customer segmentation package that went quiet for six years and returned with dependency hygiene

rfm computes recency, frequency and monetary segmentation for customer analytics in R. The feature surface was set early: 0.1.0 shipped a Shiny app and customer-level input, 0.2.0 added default segments and median statistics, 0.2.1 added user-specified score thresholds and returnable plot objects. Then nothing for nearly six years. Version 0.4.0 in April 2026 fixes a missing-column error and a customer id fault, and moves plotly and gganimate from Suggests to Imports.

Read the full rfm trajectory →

qtl2convert vs rfm: editorial side-by-side

Q
qtl2convert
ANALYTICS
0.0

A conversion utility in pure maintenance mode, tracking R-devel breakage release by release

◆ Current state

qtl2convert is the format-shim of the R/qtl2 ecosystem: it moves genotype probabilities and genetic maps between DOQTL, R/qtl and R/qtl2 representations. The last three releases contain no new conversion functions at all — 0.32 fixed a C string comparison flagged by CRAN, 0.34 restored attribute-clearing that R-devel 4.7 changed underneath the package, and 0.36 adjusted parallel core defaults plus a test tweak. The functional surface has been stable since 0.26 added cross2_ril_to_genril().

◆ Where it's heading

This is a package whose release cadence is driven by its dependencies, not its roadmap. Two of the last three releases exist purely because upstream R or CRAN's check suite moved; the maintainer responds within weeks and ships. The cores=0 change in 0.36 is the only user-visible behavior shift in over a year, and it landed simultaneously in sibling package qtl2fst — this is a maintainer-wide convention change, not a qtl2convert decision.

◆ Prediction

Expect the next release to be triggered by another R-devel or CRAN check change rather than a feature request, following the same pattern as 0.32 and 0.34.

R
rfm
ANALYTICS
0.0

A customer segmentation package that went quiet for six years and returned with dependency hygiene

◆ Current state

rfm computes recency, frequency and monetary segmentation for customer analytics in R. The feature surface was set early: 0.1.0 shipped a Shiny app and customer-level input, 0.2.0 added default segments and median statistics, 0.2.1 added user-specified score thresholds and returnable plot objects. Then nothing for nearly six years. Version 0.4.0 in April 2026 fixes a missing-column error and a customer id fault, and moves plotly and gganimate from Suggests to Imports.

◆ Where it's heading

The 0.4.0 release says more about maintenance posture than about product direction — the version jump past 0.3.x with only two bug fixes and a dependency reshuffle suggests a package being brought back to a releasable state rather than resuming development. Promoting plotly and gganimate to Imports makes the visualization stack mandatory, which is a heavier install in exchange for a simpler code path. The core RFM computation itself has not changed in this window.

◆ Prediction

The entries show a package returning from dormancy rather than pursuing a roadmap, so further small fixes are more likely than new segmentation capability.

Alternatives to qtl2convert and rfm

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 qtl2convert or rfm.

See all qtl2convert alternatives → · See all rfm alternatives →

Recent activity from qtl2convert and rfm

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

  1. 1mo agoqtl2convertcores=0 now leaves one core free instead of taking all
  2. 2mo agoqtl2convertAttribute-clearing fix for R-devel 4.7
  3. 3mo agoqtl2convertC string comparison fix in encode_geno()
  4. 3mo agorfmrfm 0.4.0
  5. 2y agoqtl2convertBug fix in probs_doqtl_to_qtl2()
  6. 4y agoqtl2convertMaintenance release for a NEWS.md typo
  7. 4y agoqtl2convertAdds cross2_ril_to_genril() for RIL cross conversion
  8. 6y agorfmrfm 0.2.2
  9. 6y agorfmrfm 0.2.1
  10. 7y agorfmrfm 0.2.0
  11. 8y agorfmrfm 0.1.1
  12. 8y agorfmrfm 0.1.0

Frequently asked questions

What is the difference between qtl2convert and rfm?

Both compete on the same themes — r-package — within Analytics. qtl2convert and rfm 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 qtl2convert better than rfm?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. qtl2convert and rfm 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 qtl2convert?

Top qtl2convert alternatives in Analytics are ranked by recent ship velocity. Browse the "qtl2convert alternatives" section above for the current picks, or visit /alternatives/qtl2convert for the full list with editorial commentary on each.

What are the best alternatives to rfm?

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