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Comparison · Infra & APIs

microViz vs stochvol

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

Shared themes:maintenance

microViz vs stochvol: at a glance

FeaturemicroVizstochvol
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesmicrobiome, ordination, phyloseq, maintenancebayesian-inference, stochastic-volatility, mcmc, rcpp
Last editorial update4h ago45m ago
WebsiteVisit →Visit →

What is microViz?

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.

Read the full microViz trajectory →

What is stochvol?

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.

Read the full stochvol trajectory →

microViz vs stochvol: editorial side-by-side

M
microViz
INFRA · APIS
0.0

Microbiome ordination and visualisation, in maintenance and keeping pace with vegan and ggplot2.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

S
stochvol
INFRA · APIS
0.0

A Bayesian volatility sampler in its maintenance decade, paying for its own speed

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

Alternatives to microViz and stochvol

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.

See all microViz alternatives → · See all stochvol alternatives →

Recent activity from microViz and stochvol

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

  1. 3mo agomicroVizmicroViz 0.13.1
  2. 5mo agostochvolSampler crash with constant parameters fixed, plus RcppArmadillo 15
  3. 6mo agomicroVizmicroViz 0.13.0
  4. 1y agostochvolTwo CRAN check notes cleared
  5. 1y agomicroVizmicroViz 0.12.7
  6. 1y agomicroVizmicroViz 0.12.6
  7. 1y agostochvolProposal variance corrected in the centered parameterisation
  8. 1y agomicroVizmicroViz 0.12.5
  9. 2y agomicroVizmicroViz 0.12.4
  10. 2y agostochvolCRAN stochvol 3.2.4
  11. 2y agostochvolRolling-window indexing and inverse gamma prior validation fixed
  12. 3y agostochvolCore C++ sampler routines exported for reuse

Frequently asked questions

What is the difference between microViz and stochvol?

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.

Is microViz better than stochvol?

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.

What are the best alternatives to microViz?

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.

What are the best alternatives to stochvol?

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.