qqman
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
A side-by-side editorial comparison of austraits and protr — release velocity, themes, recent moves, and the top alternatives to consider.
The R client for AusTraits spends its releases chasing the dataset it reads.
austraits is the R access layer for the AusTraits plant trait database, and its release history is almost entirely a record of keeping pace with two upstream systems it does not control: the austraits.build data releases and the Zenodo archive that hosts them. The most recent release adds a version-dispatch layer so the same package can read both v4.x and v5.0.0 data. Three of the four visible tags were backfilled to GitHub within 23 minutes of each other, so version order and publication order do not agree.
protr's feature set is finished; the work now is surviving Bioconductor's churn.
protr generates numerical descriptors from protein sequences for machine learning, plus alignment-based similarity between sequences. The descriptor functions have been stable for years. Recent releases divide cleanly into two kinds: extending the similarity computations to work under memory constraints, and absorbing the Bioconductor split that moved pairwise alignment out of Biostrings into pwalign.
austraits is the R access layer for the AusTraits plant trait database, and its release history is almost entirely a record of keeping pace with two upstream systems it does not control: the austraits.build data releases and the Zenodo archive that hosts them. The most recent release adds a version-dispatch layer so the same package can read both v4.x and v5.0.0 data. Three of the four visible tags were backfilled to GitHub within 23 minutes of each other, so version order and publication order do not agree.
The package is converging on a stable public vocabulary and a versioned internal. Sites became locations across every join, plot and extract function; the extract_ and print family filled out at 1.0.0; and by 2.2.2 the core functions each carry a switch on the detected data version rather than assuming one schema. The visible cost of that is dependency churn — plotting packages moved to Suggests, which the notes admit can leave core functions unable to run.
Given that every release so far has been triggered by an upstream austraits.build or Zenodo change, the next one most likely follows the next data release rather than any independent roadmap. The entries do not indicate new analysis capability being planned in the client itself.
protr generates numerical descriptors from protein sequences for machine learning, plus alignment-based similarity between sequences. The descriptor functions have been stable for years. Recent releases divide cleanly into two kinds: extending the similarity computations to work under memory constraints, and absorbing the Bioconductor split that moved pairwise alignment out of Biostrings into pwalign.
The similarity side is where the remaining engineering goes, and it follows a consistent pattern — whatever parSeqSim() gained, crossSetSim() eventually gets. Batching, verbose progress and a disk-backed variant all arrived for the single-set case first and were mirrored for the cross-set case in 1.7-1. That is a maintainer closing feature-parity gaps rather than opening new directions, and the two most recent releases contain no user-facing change at all.
Expect the next release to react to another Bioconductor or R CMD check change, which accounts for three of the last four. The similarity functions now have parity, so there is no obvious internal backlog left.
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 austraits or protr.
The Manhattan-plot package for GWAS results, finished and dormant since 2017.
The R package for CODATA constants rebuilt its symbol table on NIST's naming so future updates stop being hand work.
A ggplot2 layer for seasonal adjustment output, filling in one plot type at a time.
A fossil-record simulator that quietly grew a trait-evolution engine.
Reference-based multiple imputation tables, shipping only what CRAN checks demand.
An MMRM tabulation package that has published nothing since its 2024 CRAN releases.
See all austraits alternatives → · See all protr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. austraits and protr 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. austraits and protr 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 austraits alternatives in Analytics are ranked by recent ship velocity. Browse the "austraits alternatives" section above for the current picks, or visit /alternatives/austraits-r for the full list with editorial commentary on each.
Top protr alternatives in Analytics are ranked by recent ship velocity. Browse the "protr alternatives" section above for the current picks, or visit /alternatives/protr-r for the full list with editorial commentary on each.