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condformat vs qtl2

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

Shared themes:r-package

condformat vs qtl2: at a glance

Featurecondformatqtl2
SectorAnalyticsAnalytics
Velocity score0.02.5
Sparks · 30d00
Top themesr-package, table-formatting, test-coverage, maintenance-debtqtl-mapping, statistical-genetics, bioinformatics, r-package
Last editorial update42m ago1h ago
WebsiteVisit →Visit →

What is condformat?

A dormant table-formatting package woken by a 20-PR correctness and coverage sweep

condformat applies conditional formatting rules to R data frames and renders them to HTML, LaTeX, Excel and grob output. After 0.10.1 in 2023 it went quiet for nearly three years. Version 0.11.0 breaks that silence with a single-maintainer sweep of roughly twenty pull requests: CI modernized across R-devel, release and oldrel; lockcells fixed for LaTeX and grob output; a rule_fill_bar() crash at zero width; theme_htmlTable() no longer dropping chained arguments; and a .col pronoun added across all rules.

Read the full condformat trajectory →

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 →

condformat vs qtl2: editorial side-by-side

C
condformat
ANALYTICS
0.0

A dormant table-formatting package woken by a 20-PR correctness and coverage sweep

◆ Current state

condformat applies conditional formatting rules to R data frames and renders them to HTML, LaTeX, Excel and grob output. After 0.10.1 in 2023 it went quiet for nearly three years. Version 0.11.0 breaks that silence with a single-maintainer sweep of roughly twenty pull requests: CI modernized across R-devel, release and oldrel; lockcells fixed for LaTeX and grob output; a rule_fill_bar() crash at zero width; theme_htmlTable() no longer dropping chained arguments; and a .col pronoun added across all rules.

◆ Where it's heading

This is a maintenance-debt payoff rather than a change of direction. The bulk of 0.11.0 is test coverage — render_gtable, knit_print, theme_grob, render_xlsx and rule_fill_bar all gained tests — which reads as a maintainer establishing a safety net before touching anything further. The .col pronoun and scalar recycling in the text rules are the only real API additions, and both smooth inconsistencies rather than extend the rule vocabulary.

◆ Prediction

With coverage and CI now in place, the next release is more likely to extend rule or output-format support than to continue with fixes, though the three-year gap makes cadence hard to call from these entries alone.

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.

Alternatives to condformat and qtl2

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 condformat or qtl2.

See all condformat alternatives → · See all qtl2 alternatives →

Recent activity from condformat and qtl2

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

  1. 27d agoqtl2chr_lengths() extended to cross2 objects
  2. 1mo agocondformatEnds a three-year gap with a 20-PR fix and coverage sweep
  3. 1mo agoqtl2A genome scan that takes your own likelihood function
  4. 2mo agoqtl2Hotspot counting and cis-trans plots for eQTL studies
  5. 3mo agoqtl2Confidence interval plotting, plus a documentation correction
  6. 1y agoqtl2Finer-grained parallelism for kinship-based scans
  7. 1y agoqtl2CSV readers renamed to avoid the readr collision
  8. 2y agocondformatDocumentation fixes and internal S3 method registration
  9. 3y agocondformatcondformat2grob() gains a draw argument for composite figures
  10. 6y agocondformatDrops the lazyeval API and replaces xlsx with openxlsx
  11. 7y agocondformatAdds bar, bold and color rules plus grob rendering
  12. 8y agocondformatIntroduces the tidy-evaluation API alongside the old one

Frequently asked questions

What is the difference between condformat and qtl2?

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 condformat better than qtl2?

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 condformat?

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

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.