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Comparison · Infra & APIs

fio vs inlabru

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

Shared themes:breaking-changesr-package

fio vs inlabru: at a glance

Featurefioinlabru
SectorInfra & APIsInfra & APIs
Velocity score0.02.5
Sparks · 30d00
Top themesinput-output-analysis, regional-economics, rust-backend, breaking-changesbayesian-modelling, spatial-statistics, r-package, api-consolidation
Last editorial update1h ago38m ago
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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.

Read the full fio trajectory →

What is inlabru?

A Bayesian spatial modelling package rebuilding its foundations one breaking release at a time

inlabru wraps INLA for spatial, point-process and latent-Gaussian models in R. It is mid-modernisation: since 2.12.0 cut the sp stack, each release has renamed part of the public surface, standardised how external packages attach custom mappers, or replaced internal machinery. 2.15.0 is the latest step, pairing a new predictor evaluation and linearisation implementation with broom's tidy(), glance() and augment() methods and four non-zero-truncated observation families.

Read the full inlabru trajectory →

fio vs inlabru: editorial side-by-side

F
fio
INFRA · APIS
0.0

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.

I
inlabru
INFRA · APIS
2.5

A Bayesian spatial modelling package rebuilding its foundations one breaking release at a time

◆ Current state

inlabru wraps INLA for spatial, point-process and latent-Gaussian models in R. It is mid-modernisation: since 2.12.0 cut the sp stack, each release has renamed part of the public surface, standardised how external packages attach custom mappers, or replaced internal machinery. 2.15.0 is the latest step, pairing a new predictor evaluation and linearisation implementation with broom's tidy(), glance() and augment() methods and four non-zero-truncated observation families.

◆ Where it's heading

The arc is consolidation of the extension surface rather than expansion of the model catalogue. Every release adds mappers or families with one hand and removes a dependency, a re-export or a deprecated path with the other — plyr in 2.15.0, fmesher's Depends entry in 2.14.1, sp and ggmap in 2.12.0. The compatibility flag bru_compat_pre_2_14_enable and the temporary fm_int/fm_pixels re-exports show a maintainer sequencing breaks across releases instead of landing them together.

◆ Prediction

The 2.14 compatibility flag is still defaulting to TRUE and the fmesher re-exports are described in the entries as temporary, so the next obvious move is a release that flips bru_compat_pre_2_14_enable off and drops those re-exports.

Alternatives to fio and inlabru

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 inlabru.

See all fio alternatives → · See all inlabru alternatives →

Recent activity from fio and inlabru

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

  1. 23d agoinlabruPredictor linearisation rewritten; broom tidiers, truncated families
  2. 2mo agofioSpillover columns renamed to name the shock's origin
  3. 3mo agoinlabruBugfix release: factor contrasts, raster extraction, error classes
  4. 5mo agoinlabruNew mappers, standardised cgeneric support, bru_obs storage refactor
  5. 5mo agofioMulti-regional input-output models and spillover analysis
  6. 1y agoinlabruMapper classes shortened to bm_*, experimental predictor aggregation
  7. 1y agofioToolchain fixes for R-devel and Windows linking
  8. 1y agoinlabruDrops sp and ggmap for an sf-native spatial stack
  9. 1y agofioSystem check scripts handle a missing Rust toolchain
  10. 1y agofioRust minimum version lowered to widen installability
  11. 2y agofioFirst release: Rust-backed input-output modelling in R

Frequently asked questions

What is the difference between fio and inlabru?

Both compete on the same themes — breaking-changes, r-package — within Infra & APIs. inlabru is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is fio better than inlabru?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. inlabru is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. 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 inlabru?

Top inlabru alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "inlabru alternatives" section above for the current picks, or visit /alternatives/inlabru for the full list with editorial commentary on each.