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qtl2 vs rATTAINS

A side-by-side editorial comparison of qtl2 and rATTAINS — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:r-package

qtl2 vs rATTAINS: at a glance

Featureqtl2rATTAINS
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesqtl-mapping, statistical-genetics, bioinformatics, r-packagewater-quality, epa-data, r-package, api-wrapper
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is qtl2?

The standard QTL mapping package in R opened its genome scan to user-supplied likelihood models.

qtl2 is the R toolkit for QTL mapping in experimental crosses, covering genotype probability calculation, genome scans with and without polygenic effects, permutation testing, SNP association, and the plotting that goes with them. The last year of work has pushed hard in two directions: tooling for high-throughput expression and protein QTL studies, and a generalisation of the scan engine itself so the log-likelihood being maximised can be supplied by the user. Note that the release history reached this feed out of order, so feed position is not a reliable guide to which release came first.

Read the full qtl2 trajectory →

What is rATTAINS?

The R client for EPA water quality data spent two releases undoing its own promises about data shape.

rATTAINS wraps the EPA's ATTAINS API, which holds state water quality assessments and impaired-waters listings. The package reached 1.0.0 by promising stable, consistently rectangled return structures, then walked that promise back in 1.1.0 when it dropped the dependency doing the rectangling. As of 1.2.0 it also requires an API key, because ATTAINS itself began requiring one in May 2026.

Read the full rATTAINS trajectory →

qtl2 vs rATTAINS: editorial side-by-side

Q
qtl2
ANALYTICS
2.5

The standard QTL mapping package in R opened its genome scan to user-supplied likelihood models.

◆ Current state

qtl2 is the R toolkit for QTL mapping in experimental crosses, covering genotype probability calculation, genome scans with and without polygenic effects, permutation testing, SNP association, and the plotting that goes with them. The last year of work has pushed hard in two directions: tooling for high-throughput expression and protein QTL studies, and a generalisation of the scan engine itself so the log-likelihood being maximised can be supplied by the user. Note that the release history reached this feed out of order, so feed position is not a reliable guide to which release came first.

◆ Where it's heading

The eQTL and pQTL direction is the clearest thread — cis-trans plots, hotspot counting over a sliding window, multi-trait scan heat maps, and genome-wide genotype plots all arrived together, which is the toolkit an experiment with thousands of traits needs rather than one with a handful. Running underneath it is a steady generalisation of the core: a scan function that accepts an arbitrary likelihood, permutations that work with alternative scan functions, full variance-covariance output from single-position fits. Performance and parallelism get attention each cycle, including a more considerate default that leaves one core free. The rest is the ordinary maintenance of a long-lived package — renames to avoid tidyverse collisions, compiler warnings, and correctness fixes on specific cross types.

◆ Prediction

With scan1gen and permutation support for alternative scan functions in place, the natural next step is more model types built on that hook rather than more special-cased scan functions; the entries do not indicate which models are planned.

R
rATTAINS
ANALYTICS
0.0

The R client for EPA water quality data spent two releases undoing its own promises about data shape.

◆ Current state

rATTAINS wraps the EPA's ATTAINS API, which holds state water quality assessments and impaired-waters listings. The package reached 1.0.0 by promising stable, consistently rectangled return structures, then walked that promise back in 1.1.0 when it dropped the dependency doing the rectangling. As of 1.2.0 it also requires an API key, because ATTAINS itself began requiring one in May 2026.

◆ Where it's heading

The direction is toward a thinner, lower-maintenance wrapper. Caching went in 0.1.4 when hoardr was archived, tidyjson and janitor went earlier, tibblify went in 1.1.0, and each removal handed a little more data-shaping responsibility back to the user — the current advice is to pass .unnest = FALSE and rectangle the results with whatever tidying package you prefer. Release cadence is slow and mostly reactive: upstream API terms, archived dependencies, and compatibility with test tooling account for most of the log. The package's centre of gravity is staying installable and honest about what ATTAINS returns rather than smoothing it over.

◆ Prediction

Given the pattern, the next release is likelier to be a compatibility or upstream-driven fix than new endpoint coverage; how the API key requirement affects users in scripted and CI contexts is the obvious open question the entries do not yet answer.

Alternatives to qtl2 and rATTAINS

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 qtl2 or rATTAINS.

See all qtl2 alternatives → · See all rATTAINS alternatives →

Recent activity from qtl2 and rATTAINS

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

  1. 27d agoqtl2chr_lengths() extended to cross2 objects
  2. 1mo agoqtl2A genome scan that takes your own likelihood function
  3. 1mo agorATTAINSATTAINS now requires an API key, and the package follows
  4. 2mo agoqtl2Hotspot counting and cis-trans plots for eQTL studies
  5. 3mo agoqtl2Confidence interval plotting, plus a documentation correction
  6. 8mo agorATTAINSThe tibblify dependency goes, and with it the stable data shapes
  7. 1y agoqtl2Finer-grained parallelism for kinship-based scans
  8. 1y agoqtl2CSV readers renamed to avoid the readr collision
  9. 1y agorATTAINSTest suite updated for vcr v2
  10. 3y agorATTAINS1.0.0 commits to stable return structures via tibblify
  11. 3y agorATTAINSCaching removed after hoardr was archived
  12. 4y agorATTAINSRequests retry on timeout, with offline detection

Frequently asked questions

What is the difference between qtl2 and rATTAINS?

Both compete on the same themes — r-package — within Analytics. qtl2 is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is qtl2 better than rATTAINS?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. qtl2 is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to qtl2?

Top qtl2 alternatives in Analytics are ranked by recent ship velocity. Browse the "qtl2 alternatives" section above for the current picks, or visit /alternatives/qtl2 for the full list with editorial commentary on each.

What are the best alternatives to rATTAINS?

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