mice
mice can finally predict, not just estimate, from multiply imputed data.
A side-by-side editorial comparison of midr and q2 — release velocity, themes, recent moves, and the top alternatives to consider.
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.
Quarto's Rust rewrite ships daily, and the parity grind has resumed after its one leap ahead.
q2 is the Rust reimplementation of Quarto, shipping a tagged release most days and still labelled experimental and not production-ready. The releases in this window are dominated by Quarto 1 parity work — tabsets, table-of-contents fidelity, highlight themes, path resolution, draft banners — plus a Hub web client that now carries its own accessibility and design-token workstream. Release notes are raw commit logs behind a fixed install header, so what actually changed sits well down the body.
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.
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.
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.
q2 is the Rust reimplementation of Quarto, shipping a tagged release most days and still labelled experimental and not production-ready. The releases in this window are dominated by Quarto 1 parity work — tabsets, table-of-contents fidelity, highlight themes, path resolution, draft banners — plus a Hub web client that now carries its own accessibility and design-token workstream. Release notes are raw commit logs behind a fixed install header, so what actually changed sits well down the body.
Two things are being built at once. The compiler is closing a long checklist of Quarto 1 behaviours, and the pattern is consistent: investigate, settle the design in a plan, land in numbered phases, close the plan. The second is the Hub — a live-share preview, an MCP server, a web editor and now a WCAG-compliant token system — which is where the project is building something Quarto 1 never had. Recent tags have gone back to parity after v0.22.0's push, and the engine-claims refactor in v0.24.0 suggests third-party engine support is being prepared underneath.
The engine-claims work replaced a static source-type model with a claim-based one and added user-facing engine load and claim failure reporting, so the next visible step is likely an engine extension surface that authors can actually target. The experimental label and 0.x versioning give no indication that a stable release is close.
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 midr or q2.
mice can finally predict, not just estimate, from multiply imputed data.
A market-microstructure toolkit that keeps adding estimators as the papers land.
A vowel-analysis package trimming dependencies after an email address got it archived.
The R half of the EMU speech database system, fixing what was quietly broken.
A Bayesian model-averaging package spending its 2.0 on memory, not methods.
tidyplots keeps rebuilding its own foundations rather than layering around them.
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. q2 is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. q2 is currently shipping more aggressively (velocity 6.3 vs 0.0), with 1 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.
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.
Top q2 alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "q2 alternatives" section above for the current picks, or visit /alternatives/q2 for the full list with editorial commentary on each.