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Comparison · Infra & APIs

fio vs midr

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

Shared themes:r-package

fio vs midr: at a glance

Featurefiomidr
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesinput-output-analysis, regional-economics, rust-backend, breaking-changesexplainable-ai, surrogate-models, shapley, survival-analysis
Last editorial update4h ago42m ago
WebsiteVisit →Visit →

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 midr?

A black-box interpreter reaches CRAN, then learns multi-class and survival responses

midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.

Read the full midr trajectory →

fio vs midr: 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.

M
midr
INFRA · APIS
0.0

A black-box interpreter reaches CRAN, then learns multi-class and survival responses

◆ Current state

midr explains black-box models by fitting an interpretable surrogate through Maximum Interpretation Decomposition — main effects plus second-order interactions, with exact Shapley values for the surrogate. Two months after its first CRAN release it can take a matrix response, which covers multi-class classification and survival models, and hold collections of fitted interpretations in midlist and midrib objects for comparison.

◆ Where it's heading

The releases move outward along two axes at once: what can be interpreted, and how much of it fits in memory. Version 0.5.3 rebuilt the fitting path to avoid materialising large design matrices and added a save.memory option; 0.6.0 widened the response from a vector to a matrix and added parametric link functions. Class and argument names were shortened in the same release, so the package is still willing to break itself this early.

◆ Prediction

With multiple models now held in one object and visualisation methods for them, comparison across models is the surface most likely to fill out next — the collection classes exist but the notes describe manipulation and plotting rather than any comparison metric.

Alternatives to fio and midr

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 midr.

See all fio alternatives → · See all midr alternatives →

Recent activity from fio and midr

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

  1. 2mo agofioSpillover columns renamed to name the shock's origin
  2. 5mo agomidrMatrix responses bring multi-class and survival models in scope
  3. 5mo agofioMulti-regional input-output models and spillover analysis
  4. 7mo agomidrFirst CRAN release: MID surrogate models for black-box explanation
  5. 7mo agomidrMemory-efficient fitting for large design matrices
  6. 1y agofioToolchain fixes for R-devel and Windows linking
  7. 1y agofioSystem check scripts handle a missing Rust toolchain
  8. 1y agofioRust minimum version lowered to widen installability
  9. 2y agofioFirst release: Rust-backed input-output modelling in R

Frequently asked questions

What is the difference between fio and midr?

Both compete on the same themes — r-package — within Infra & APIs. fio and midr 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 midr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fio and midr 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 midr?

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