goat
A gene-set enrichment package that outgrew its human-only origins, then went quiet.
A side-by-side editorial comparison of microViz and samplr — release velocity, themes, recent moves, and the top alternatives to consider.
Microbiome ordination and visualisation, in maintenance and keeping pace with vegan and ggplot2.
microViz provides visualisation and statistics for microbiome data built on phyloseq, including ordination exploration, distance-based dispersion analysis and composition plots. The release notes are pointer-style entries that name a pull request and link a comparison range rather than describing what changed, so most of what can be established from this feed is cadence and dependency pressure rather than substance. Version 0.13.1 is the exception, naming documentation work on dist_bdisp and its defaults relative to vegan's betadisper.
A cognitive-science sampling package ships once, then goes quiet for eighteen months
samplr compares human performance against sampling algorithms, giving cognitive scientists the MCMC machinery to test whether people behave like samplers. Its entire public history is three releases: a 1.0.0 in August 2024, a floating-point fix eighteen seconds later, and then nothing until a February 2026 patch. The release notes are unusually thin even by CRAN standards.
microViz provides visualisation and statistics for microbiome data built on phyloseq, including ordination exploration, distance-based dispersion analysis and composition plots. The release notes are pointer-style entries that name a pull request and link a comparison range rather than describing what changed, so most of what can be established from this feed is cadence and dependency pressure rather than substance. Version 0.13.1 is the exception, naming documentation work on dist_bdisp and its defaults relative to vegan's betadisper.
Read through the dependency mentions, the pattern is a package spending its releases absorbing changes in the ecosystem beneath it: vegan deprecating summary in favour of scores, cowplot warning under ggplot2 3.5, testthat declarations centralised, CI actions updated. Nothing in the window indicates new analytical capability, and the 0.13.0 minor bump that would be the place to look for it ships with no notes at all. The honest reading is a stable package under maintenance by a single maintainer.
Expect continued upkeep against phyloseq, vegan and ggplot2 changes rather than a feature programme. Because the notes do not describe their own contents, a substantive release here would be indistinguishable from a maintenance one in this feed, so the direction cannot be read from these entries alone.
samplr compares human performance against sampling algorithms, giving cognitive scientists the MCMC machinery to test whether people behave like samplers. Its entire public history is three releases: a 1.0.0 in August 2024, a floating-point fix eighteen seconds later, and then nothing until a February 2026 patch. The release notes are unusually thin even by CRAN standards.
The feed shows a package that shipped and stopped. The 2024 tags were both created in one sitting and say almost nothing; the 2026 release is a row-count bug in Mean_Variance() bundled with citation metadata, a dropped dependency and http-to-https link fixes — the housekeeping profile of a package being kept alive for the paper that cites it rather than actively developed.
Adding citation information to the README is usually the move of a maintainer expecting the package to be referenced rather than extended. On this cadence the next release is more likely another CRAN-hygiene patch than new algorithms; there is not enough in these notes to say otherwise.
Other Infra & APIs 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 microViz or samplr.
A gene-set enrichment package that outgrew its human-only origins, then went quiet.
The recursive-computation engine under massProps grows the accessors its consumer needed
A mass-properties rollup spends a year on documentation and follows its sibling's API
Six months of releases and not one of them touched the scoring models
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
See all microViz alternatives → · See all samplr alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — r-package — within Infra & APIs. microViz and samplr 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. microViz and samplr 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 Infra & APIs products to evaluate alongside.
Top microViz alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "microViz alternatives" section above for the current picks, or visit /alternatives/microviz for the full list with editorial commentary on each.
Top samplr alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "samplr alternatives" section above for the current picks, or visit /alternatives/samplr for the full list with editorial commentary on each.