paleobuddy
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
A side-by-side editorial comparison of citeme and qtl — release velocity, themes, recent moves, and the top alternatives to consider.
Citation metadata machinery breaks out of INBO's checklist package to stand on its own.
citeme handles citation metadata for research software and organisations — building citation files, validating ORCIDs, RORs, licenses and URLs, and prompting for the pieces interactively. It was extracted from the checklist package in 0.1.0 and has spent the four releases since fleshing out organisational roles, most visibly publishers.
R/qtl is in pure custodial mode: every recent release answers a compiler, not a user
R/qtl is the long-established R package for QTL mapping in experimental crosses, covering interval mapping, composite interval mapping, multiple-QTL model fitting and the associated cross data formats. Nothing in the recent release history adds capability. Version 1.74 removes an include that started warning on CRAN, 1.72 improves an error message in cim(), and 1.70 migrates the C code from Calloc/Realloc/Free to their R_-prefixed equivalents for R-devel.
citeme handles citation metadata for research software and organisations — building citation files, validating ORCIDs, RORs, licenses and URLs, and prompting for the pieces interactively. It was extracted from the checklist package in 0.1.0 and has spent the four releases since fleshing out organisational roles, most visibly publishers.
Development is running in tight monthly increments along two tracks: modelling who is attached to a piece of research software, and smoothing the interactive prompts that collect it. The publisher role added in 0.1.1 propagated through validation, community detection and YAML handling over the next two releases, which is how this package tends to land a concept — introduce the class field, then follow it everywhere it needs to reach.
Expect the interactive ask_* family to keep growing alongside whatever metadata field is being modelled next, and further alignment with the checklist package it was carved out of.
R/qtl is the long-established R package for QTL mapping in experimental crosses, covering interval mapping, composite interval mapping, multiple-QTL model fitting and the associated cross data formats. Nothing in the recent release history adds capability. Version 1.74 removes an include that started warning on CRAN, 1.72 improves an error message in cim(), and 1.70 migrates the C code from Calloc/Realloc/Free to their R_-prefixed equivalents for R-devel.
The package is being maintained, not developed. The work divides cleanly into keeping the compiled code building against successive R and toolchain versions, and fixing narrow bugs reported through the issue tracker. The C-level migrations in particular are compliance with R's tightening of its C interface rather than anything chosen. Users should read the stability as maturity: the analysis surface has been fixed for years and the maintainer is keeping it installable.
R has continued to restrict its non-API C entry points, and this package has already made two such migrations, so further compile-time compliance work is the most likely content of the next release.
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 citeme or qtl.
paleobuddy can now simulate trait-dependent diversification, not just birth-death.
geodist stays dependency-free and fast, and warns you when 'cheap' distances stop being honest.
errors keeps making uncertainty print the way each scientific field expects.
CMAQ went global in v5.5, and has been patching that surface ever since.
enpls has not changed its statistics since 2016 — only its website, twice.
grex is a lookup table with a version number — it ships when the annotation moves.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Analytics. citeme and qtl 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. citeme and qtl 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.
Top citeme alternatives in Analytics are ranked by recent ship velocity. Browse the "citeme alternatives" section above for the current picks, or visit /alternatives/citeme-r for the full list with editorial commentary on each.
Top qtl alternatives in Analytics are ranked by recent ship velocity. Browse the "qtl alternatives" section above for the current picks, or visit /alternatives/qtl-r for the full list with editorial commentary on each.