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Comparison · Infra & APIs

humind vs midr

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

Shared themes:r-package

humind vs midr: at a glance

Featurehumindmidr
SectorInfra & APIsInfra & APIs
Velocity score3.80.0
Sparks · 30d10
Top themeshumanitarian-analytics, needs-assessment, r-package, breaking-changesexplainable-ai, surrogate-models, shapley, survival-analysis
Last editorial update3h ago45m ago
WebsiteVisit →Visit →

What is humind?

The MSNI humanitarian needs framework as code, rewritten and re-broken every year

humind turns household survey data into Multi-Sector Needs Index severity scores across WASH, Protection, SNFI, Food Security, Education and Health. Its version line tracks the annual MSNI framework revision — 2024.x, 2025.x, 2026.x — with narrow correctness patches between rollouts. v2026.2.0 is the current rollout and the most structural one in the visible history: water-quantity scoring moved out into a new mandatory prerequisite, food-security severity now comes from a different matrix, and the impactR4PHU runtime dependency is gone.

Read the full humind 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 →

humind vs midr: editorial side-by-side

H
humind
INFRA · APIS
3.8

The MSNI humanitarian needs framework as code, rewritten and re-broken every year

◆ Current state

humind turns household survey data into Multi-Sector Needs Index severity scores across WASH, Protection, SNFI, Food Security, Education and Health. Its version line tracks the annual MSNI framework revision — 2024.x, 2025.x, 2026.x — with narrow correctness patches between rollouts. v2026.2.0 is the current rollout and the most structural one in the visible history: water-quantity scoring moved out into a new mandatory prerequisite, food-security severity now comes from a different matrix, and the impactR4PHU runtime dependency is gone.

◆ Where it's heading

Two things move together. The framework content is revised yearly — indicators added, weights corrected, instruments swapped — and the package keeps absorbing pipeline it used to delegate, most visibly by vendoring add_fcs(), add_hhs(), add_rcsi(), add_lcsi() and add_fcm_phase() locally rather than importing them. Each rollout is explicitly breaking and the release notes have grown per-function 'Action:' instructions, which reads as maintainers who expect every downstream dashboard to need rewiring on the same annual clock.

◆ Prediction

The 2025 line settled into narrow patches immediately after its rollout — 1.2, 1.3 and 1.4 fixed a separator argument, a schema rename and a shelter misclassification rather than adding indicators. Expect the 2026 line to do the same: correctness fixes against the new WASH, FCLCM and shelter-damage logic before any further framework change.

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 humind 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 humind or midr.

See all humind alternatives → · See all midr alternatives →

Recent activity from humind and midr

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

  1. 29d agohumind2026 MSNI rollout: HWISE-4 prerequisite, FCLCM, impactR4PHU dropped
  2. 5mo agomidrMatrix responses bring multi-class and survival models in scope
  3. 7mo agomidrFirst CRAN release: MID surrogate models for black-box explanation
  4. 7mo agomidrMemory-efficient fitting for large design matrices
  5. 8mo agohumindTents reclassified as inadequate shelter
  6. 10mo agohumindFix: honour the sep argument in protection score columns
  7. 10mo agohumind'Acute need' renamed to 'severe need' across every output column
  8. 1y agohumind2025 MSNI rollout: Protection revamped, WGQ dropped from Health
  9. 1y agohumindScoring corrections across WASH, education, health and shelter

Frequently asked questions

What is the difference between humind and midr?

Both compete on the same themes — r-package — within Infra & APIs. humind is currently shipping more aggressively (velocity 3.8 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.

Is humind better than midr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. humind is currently shipping more aggressively (velocity 3.8 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.

What are the best alternatives to humind?

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