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Comparison · Infra & APIs

ggprism vs midr

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

ggprism vs midr: at a glance

Featureggprismmidr
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, themes, visualization, compatibilityexplainable-ai, surrogate-models, shapley, survival-analysis
Last editorial update1h ago3h ago
WebsiteVisit →Visit →

What is ggprism?

A Prism-styled ggplot2 theme in maintenance, now surviving ggplot2 4.0.

ggprism reproduces GraphPad Prism's look inside ggplot2 through themes, axis guides, palettes and p-value brackets, and has been feature-stable since its 2021 CRAN debut. The only release in the recent window is a compatibility pass for ggplot2 v4.0.0. The rest of the visible history is the original 2021 launch sequence.

Read the full ggprism 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 →

ggprism vs midr: editorial side-by-side

G
ggprism
INFRA · APIS
0.0

A Prism-styled ggplot2 theme in maintenance, now surviving ggplot2 4.0.

◆ Current state

ggprism reproduces GraphPad Prism's look inside ggplot2 through themes, axis guides, palettes and p-value brackets, and has been feature-stable since its 2021 CRAN debut. The only release in the recent window is a compatibility pass for ggplot2 v4.0.0. The rest of the visible history is the original 2021 launch sequence.

◆ Where it's heading

The package now moves on upstream's clock rather than its own: releases appear when ggplot2 makes a breaking change, and the content is deprecation cleanup and test repair. The 2021 entries show where the capability surface was set, and it has not widened since.

◆ Prediction

The next release is most likely another ggplot2 compatibility pass rather than new guides or palettes.

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 ggprism 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 ggprism or midr.

See all ggprism alternatives → · See all midr alternatives →

Recent activity from ggprism 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. 7mo agomidrFirst CRAN release: MID surrogate models for black-box explanation
  3. 7mo agomidrMemory-efficient fitting for large design matrices
  4. 1y agoggprismggplot2 4.0 compatibility fixes for theme_prism()
  5. 5y agoggprismVignette figure and test fixes ahead of ggplot2 3.4
  6. 5y agoggprismadd_pvalue() accepts more input column layouts
  7. 5y agoggprismFirst CRAN submission after the GitHub release
  8. 5y agoggprismInitial release: Prism themes, guides, palettes, p-value brackets

Frequently asked questions

What is the difference between ggprism and midr?

They serve adjacent needs but don't currently overlap on shipped themes. ggprism 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 ggprism better than midr?

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

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