ggfootball
A football-viz package just swapped scraping for an API and broke its own output to do it.
A side-by-side editorial comparison of microViz and stochvol — 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 Bayesian volatility sampler in its maintenance decade, paying for its own speed
stochvol runs MCMC for stochastic volatility models, with a C++ sampler underneath an R interface. Five years of releases in this window contain no new models: the work is compiler and dependency compatibility, CRAN check notes, and a steady trickle of corrections to the sampler itself. Its methodological milestone, the Journal of Statistical Software paper, is recorded in a 2021 tag.
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.
stochvol runs MCMC for stochastic volatility models, with a C++ sampler underneath an R interface. Five years of releases in this window contain no new models: the work is compiler and dependency compatibility, CRAN check notes, and a steady trickle of corrections to the sampler itself. Its methodological milestone, the Journal of Statistical Software paper, is recorded in a 2021 tag.
This is what a finished computational package looks like. The formula interface arrived at 3.1.0 and nothing has been added since; what changes is the ground underneath — RcppArmadillo major versions, UBSan checks, error-handling conventions moving from Rf_error to Rcpp::stop for correct memory management. The recurring pattern worth watching is that several releases fix real errors in the sampler's proposal distributions, found by users and by CRAN's own instrumented checks rather than by the maintainer.
Nothing in these notes suggests new methodology. Expect the next release when RcppArmadillo or a CRAN check flavour forces one, and treat any bug report against the samplers as the more consequential event.
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 stochvol.
A football-viz package just swapped scraping for an API and broke its own output to do it.
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 cognitive-science sampling package ships once, then goes quiet for eighteen months
See all microViz alternatives → · See all stochvol alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
Both compete on the same themes — maintenance — within Infra & APIs. microViz and stochvol 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 stochvol 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 stochvol alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "stochvol alternatives" section above for the current picks, or visit /alternatives/stochvol for the full list with editorial commentary on each.