rollupTree
The recursive-computation engine under massProps grows the accessors its consumer needed
Comparison · Infra & APIs
fio vs stochvol
A side-by-side editorial comparison of fio and stochvol — release velocity, themes, recent moves, and the top alternatives to consider.
fio vs stochvol: at a glance
What is fio?
Input-output economics in R with a Rust core, now spanning multiple regions.
fio builds and analyses input-output models in R, using an R6 object for the model and Rust with the faer crate for the linear algebra behind technical coefficients and the Leontief inverse. Version 1.0.0 extended it from single-region tables to multi-regional models with spillover analysis, and 1.1.0 immediately corrected the naming and measures that release introduced, renaming shock-origin columns that had been labelled as destinations and replacing an interdependence index with spillover balance and export share.
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.
fio vs stochvol: editorial side-by-side
fio
0.0INFRA · APIS
Input-output economics in R with a Rust core, now spanning multiple regions.
◆ Current state
fio builds and analyses input-output models in R, using an R6 object for the model and Rust with the faer crate for the linear algebra behind technical coefficients and the Leontief inverse. Version 1.0.0 extended it from single-region tables to multi-regional models with spillover analysis, and 1.1.0 immediately corrected the naming and measures that release introduced, renaming shock-origin columns that had been labelled as destinations and replacing an interdependence index with spillover balance and export share.
◆ Where it's heading
The package built its foundation first and its scope second. The 0.1.x releases were almost entirely about making a Rust-backed R package install reliably across platforms and toolchain versions, with the actual economics settled at 0.1.0. Once that was stable, 1.0.0 added the multi-regional layer in one release, and 1.1.0 shows the usual consequence of a large surface arriving at once: names and derived measures needing correction before they harden. Breaking changes are being taken freely while the multi-regional interface is young.
◆ Prediction
Expect further refinement of the multi-regional measures before the interface settles, given that 1.1.0 revised them within three months of their introduction. The Rust core makes larger multi-regional systems tractable, so extending coverage to more published multi-region tables is the obvious direction, though these entries name no specific dataset.
stochvol
0.0INFRA · APIS
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 fio 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 fio or stochvol.
massProps
A mass-properties rollup spends a year on documentation and follows its sibling's API
writeAlizer
Six months of releases and not one of them touched the scoring models
samplr
A cognitive-science sampling package ships once, then goes quiet for eighteen months
midr
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
GeoThinneR
Spatial thinning grows a result object, and the API breaks to make room for it
See all fio alternatives → · See all stochvol alternatives →
Recent activity from fio and stochvol
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2mo agofioSpillover columns renamed to name the shock's origin
- 5mo agostochvolSampler crash with constant parameters fixed, plus RcppArmadillo 15
- 5mo agofioMulti-regional input-output models and spillover analysis ⚡
- 1y agostochvolTwo CRAN check notes cleared
- 1y agofioToolchain fixes for R-devel and Windows linking
- 1y agostochvolProposal variance corrected in the centered parameterisation
- 1y agofioSystem check scripts handle a missing Rust toolchain
- 1y agofioRust minimum version lowered to widen installability
- 2y agofioFirst release: Rust-backed input-output modelling in R ⚡
- 2y agostochvolCRAN stochvol 3.2.4
- 2y agostochvolRolling-window indexing and inverse gamma prior validation fixed
- 3y agostochvolCore C++ sampler routines exported for reuse
Frequently asked questions
What is the difference between fio and stochvol?
They serve adjacent needs but don't currently overlap on shipped themes. fio 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 fio better than stochvol?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fio 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 fio?
Top fio alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "fio alternatives" section above for the current picks, or visit /alternatives/fio 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.