inlabru
A Bayesian spatial modelling package rebuilding its foundations one breaking release at a time
A side-by-side editorial comparison of humind and pakret — release velocity, themes, recent moves, and the top alternatives to consider.
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.
Package citation for R documents, quietly growing to meet Quarto.
pakret inserts citations for R packages into R Markdown and Quarto documents, resolving each package to a BibTeX entry and writing the .bib file that backs it. Version 0.3.1 adds support for Quarto's inline syntax and separator control when citing several packages in one inline chunk, following 0.3.0, which made the package create missing .bib files, preserve capitalisation in reference titles, and treat the version placeholder in citation templates as optional. Cadence is a handful of small releases a 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.
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.
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.
pakret inserts citations for R packages into R Markdown and Quarto documents, resolving each package to a BibTeX entry and writing the .bib file that backs it. Version 0.3.1 adds support for Quarto's inline syntax and separator control when citing several packages in one inline chunk, following 0.3.0, which made the package create missing .bib files, preserve capitalisation in reference titles, and treat the version placeholder in citation templates as optional. Cadence is a handful of small releases a year.
Every release in this window removes a specific friction someone hit while writing a document. Bib files that had to exist beforehand now get created; single-letter package names like R and C stopped being lower-cased in titles; the package works when loaded after conflicted; citing many packages got faster; and version numbers became optional for documents where they are noise. The 0.3.1 Quarto support extends the same idea to the format its users are moving to. Nothing here is architectural, and nothing needs to be.
Expect continued alignment with Quarto as more of its syntax surfaces become relevant, and further refinement of how multi-reference packages resolve to a single entry, which the BibTeX type priority work in 0.2.0 started. The entries give no indication of a 1.0.
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 pakret.
A Bayesian spatial modelling package rebuilding its foundations one breaking release at a time
UK government chart styling in ggplot2, chasing ggplot2 v4 and stretching its palette to five.
A gamma-convolution density package that reached completion in 2018 and has coasted since.
Animal-movement models in R, where new stochastic processes arrive years apart.
A basic DNA and RNA sequence toolkit that went quiet for three years, then jumped to 2.0.
Accessible government spreadsheets in R, rebuilt on openxlsx2 and renamed along the way.
See all humind alternatives → · See all pakret alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. 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.
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.
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.
Top pakret alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "pakret alternatives" section above for the current picks, or visit /alternatives/pakret for the full list with editorial commentary on each.