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Comparison · Infra & APIs

goat vs midr

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

Shared themes:r-package

goat vs midr: at a glance

Featuregoatmidr
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesbioinformatics, gene-set-analysis, r-package, cranexplainable-ai, surrogate-models, shapley, survival-analysis
Last editorial update45m ago1h ago
WebsiteVisit →Visit →

What is goat?

A gene-set enrichment package that outgrew its human-only origins, then went quiet.

GOAT is a CRAN-published R package for gene set enrichment testing, now at 1.1.4. The visible arc runs from a 2024 beta through a first public CRAN release to a 1.1 line that broadened the package past human gene sets and added persistence for completed analyses. Recent releases are small: the newest ships an igraph handle on plot_network() plus bug fixes.

Read the full goat 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 →

goat vs midr: editorial side-by-side

G
goat
INFRA · APIS
0.0

A gene-set enrichment package that outgrew its human-only origins, then went quiet.

◆ Current state

GOAT is a CRAN-published R package for gene set enrichment testing, now at 1.1.4. The visible arc runs from a 2024 beta through a first public CRAN release to a 1.1 line that broadened the package past human gene sets and added persistence for completed analyses. Recent releases are small: the newest ships an igraph handle on plot_network() plus bug fixes.

◆ Where it's heading

The substantive expansion happened in the 1.1 cycle; everything since has been maintenance and plotting ergonomics. Each release since 1.1 touches one function and returns something callers previously had to reconstruct, which reads as a package settling into a stable API and responding to individual user requests rather than pursuing new scope. The 13-month gap between 1.1.2 and 1.1.4 puts it firmly in low-cadence maintenance.

◆ Prediction

Expect continued point releases that expose internals from the plotting functions or refresh the bundled GO release, not new analysis capability. The entries give no signal of a planned 1.2.

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 goat 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 goat or midr.

See all goat alternatives → · See all midr alternatives →

Recent activity from goat and midr

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

  1. 5mo agomidrMatrix responses bring multi-class and survival models in scope
  2. 6mo agogoatplot_network() now hands back the igraph object
  3. 7mo agomidrFirst CRAN release: MID surrogate models for black-box explanation
  4. 7mo agomidrMemory-efficient fitting for large design matrices
  5. 1y agogoatFix for a reduce_genesets() infinite loop
  6. 1y agogoatGene sets beyond human, and analyses you can reload
  7. 2y agogoatFirst public release, now on CRAN
  8. 2y agogoatplot_lollipop() gains barplots and an effect-size axis
  9. 2y agogoatBeta 0.9.5 tagged, with no changes described

Frequently asked questions

What is the difference between goat and midr?

Both compete on the same themes — r-package — within Infra & APIs. goat 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 goat better than midr?

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

Top goat alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "goat alternatives" section above for the current picks, or visit /alternatives/goat 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.