rollupTree
The recursive-computation engine under massProps grows the accessors its consumer needed
Comparison · Infra & APIs
humind vs tf
A side-by-side editorial comparison of humind and tf — release velocity, themes, recent moves, and the top alternatives to consider.
humind vs tf: at a glance
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.
What is tf?
tf gave functional data a second dimension: curves whose values are vectors.
tf supplies the vector classes underneath the tidyfun stack — tfd for raw functional observations, tfb for basis-represented ones, both built on vctrs so curves sit in a data frame column and behave like any other vector. Until July that codomain was scalar. The 0.5.0 release adds tfd_mv and tfb_mv, classes for functions whose values are vectors in R^d, and rebuilds the analysis verbs to match.
humind vs tf: editorial side-by-side
humind
3.8INFRA · APIS
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.
tf
0.0INFRA · APIS
tf gave functional data a second dimension: curves whose values are vectors.
◆ Current state
tf supplies the vector classes underneath the tidyfun stack — tfd for raw functional observations, tfb for basis-represented ones, both built on vctrs so curves sit in a data frame column and behave like any other vector. Until July that codomain was scalar. The 0.5.0 release adds tfd_mv and tfb_mv, classes for functions whose values are vectors in R^d, and rebuilds the analysis verbs to match.
◆ Where it's heading
The package is widening what a functional observation can be, then porting the toolkit onto it. Registration arrived first in 0.4.0 for univariate curves and immediately gained an srvf_mv method for aligning components jointly, and tfb_mfpc() ports principal component analysis to the multivariate case with a single set of scores shared across components. Alongside that runs steady dependency shedding — mvtnorm and pracma both replaced by inlined samplers that reproduce prior draws bit-for-bit, glue dropped for cli in the previous release — and an unusually long tail of NA-handling and edge-case fixes, several caught in pre-release review of the new classes.
◆ Prediction
The new classes ship with FPCA, registration and shape alignment but the release notes describe tidyfun::tf_unnest() as the consumer of one new export, so the visible next step is the rest of the tidyfun stack catching up to vector-valued columns. Expect follow-up patches on the vctrs casting paths, which is where most of this release's late fixes clustered.
Alternatives to humind and tf
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 tf.
massProps
A mass-properties rollup spends a year on documentation and follows its sibling's API
writeAlizer
Six months of releases and not one of them touched the scoring models
samplr
A cognitive-science sampling package ships once, then goes quiet for eighteen months
stochvol
A Bayesian volatility sampler in its maintenance decade, paying for its own speed
midr
A black-box interpreter reaches CRAN, then learns multi-class and survival responses
Recent activity from humind and tf
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 29d agohumind2026 MSNI rollout: HWISE-4 prerequisite, FCLCM, impactR4PHU dropped ⚡
- 1mo agotfVector-valued functional data becomes a first-class type ⚡
- 5mo agotfCurve registration, five depth measures and sub-domain splitting
- 8mo agohumindTents reclassified as inadequate shelter
- 10mo agohumindFix: honour the sep argument in protection score columns
- 10mo agohumind'Acute need' renamed to 'severe need' across every output column
- 1y agohumind2025 MSNI rollout: Protection revamped, WGQ dropped from Health
- 1y agohumindScoring corrections across WASH, education, health and shelter
- 2y agotfFix: tf_crosscov normalization
Frequently asked questions
What is the difference between humind and tf?
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.
Is humind better than tf?
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 tf?
Top tf alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "tf alternatives" section above for the current picks, or visit /alternatives/tf for the full list with editorial commentary on each.