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fastml vs qtl2convert

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

fastml vs qtl2convert: at a glance

Featurefastmlqtl2convert
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesautoml, tidymodels, survival analysis, cross-validationr-package, genetics, format-conversion, cran-maintenance
Last editorial update1h ago3h ago
WebsiteVisit →Visit →

What is fastml?

fastml added survival modelling and leakage-proof resampling, moving past classification and regression.

A tidymodels-based AutoML wrapper that trains, tunes and compares many engines from one call. The 0.6.x line added engine-specific tuning parameters, class-imbalance handling, early stopping and DALEX-based explainability. The 0.7.5 release is far larger: a full survival analysis task with its own engines, MICE imputation and integrated Brier scoring, plus unbiased nested cross-validation, grouped, blocked and rolling resampling helpers, fold-wise imputation, recipe leakage checks, and a sandbox for user-supplied preprocessing.

Read the full fastml trajectory →

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 →

fastml vs qtl2convert: editorial side-by-side

F
fastml
ANALYTICS
0.0

fastml added survival modelling and leakage-proof resampling, moving past classification and regression.

◆ Current state

A tidymodels-based AutoML wrapper that trains, tunes and compares many engines from one call. The 0.6.x line added engine-specific tuning parameters, class-imbalance handling, early stopping and DALEX-based explainability. The 0.7.5 release is far larger: a full survival analysis task with its own engines, MICE imputation and integrated Brier scoring, plus unbiased nested cross-validation, grouped, blocked and rolling resampling helpers, fold-wise imputation, recipe leakage checks, and a sandbox for user-supplied preprocessing.

◆ Where it's heading

The package is moving from convenience wrapper to something that has to be defensible statistically. Nested cross-validation, fold-wise rather than up-front imputation, and explicit leakage checks are all corrections to the shortcuts that make AutoML easy and its scores optimistic. Survival adds a third task type alongside classification and regression, and it arrived with its own metrics rather than being bolted onto the existing ones. Note the entry body is cut off at 8,000 characters, so the release is larger than what is shown.

◆ Prediction

Expect the remaining survival engines to fill in and the sandboxing of custom preprocessing to tighten, since both were still being iterated on within this same release's commit list.

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.

Alternatives to fastml and qtl2convert

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 fastml or qtl2convert.

See all fastml alternatives → · See all qtl2convert alternatives →

Recent activity from fastml and qtl2convert

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. 8mo agofastmlVersion 0.7.5
  5. 1y agofastmlEngine-specific tuning, imbalance handling and explainability
  6. 1y agofastmlSingle-workflow evaluation fix
  7. 1y agofastmlVersion 0.5.0
  8. 2y agoqtl2convertBug fix in probs_doqtl_to_qtl2()
  9. 4y agoqtl2convertMaintenance release for a NEWS.md typo
  10. 4y agoqtl2convertAdds cross2_ril_to_genril() for RIL cross conversion

Frequently asked questions

What is the difference between fastml and qtl2convert?

They serve adjacent needs but don't currently overlap on shipped themes. fastml and qtl2convert 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 fastml better than qtl2convert?

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

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

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.