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hstats vs n2kanalysis

A side-by-side editorial comparison of hstats and n2kanalysis — release velocity, themes, recent moves, and the top alternatives to consider.

hstats vs n2kanalysis: at a glance

Featurehstatsn2kanalysis
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesinteraction statistics, partial dependence, model explainability, r packagebiodiversity-monitoring, inla, bayesian-models, s3-storage
Last editorial update4h ago1h ago
WebsiteVisit →Visit →

What is hstats?

hstats settled into maintenance after its 1.0 restructuring, with model coverage the only thing still growing.

hstats computes Friedman's H-statistics, partial dependence, ICE curves and permutation importance for any model exposing a prediction function. The releases in view are consolidation: performance work on plain data.frames, ICE facetting for multioutput models, ranger survival support, and a ggplot 4.0 compatibility pass in 2025. The package moved to the ModelOriented organisation in 1.2.0.

Read the full hstats trajectory →

What is n2kanalysis?

n2kanalysis has spent eight years wiring INLA models to an S3 bucket.

n2kanalysis is the analysis framework behind INBO's nature monitoring networks, wrapping INLA model fitting with a manifest-driven pipeline whose intermediate objects live in S3. Capability has arrived in discrete lumps: hurdle models with imputation and a manifest-to-bash converter in 0.3.1, SPDE spatial elements in INLA models in 0.4.0, and in 0.4.1 a connect_inbo_s3() function that makes temporary credentials available to the R functions.

Read the full n2kanalysis trajectory →

hstats vs n2kanalysis: editorial side-by-side

H
hstats
ANALYTICS
0.0

hstats settled into maintenance after its 1.0 restructuring, with model coverage the only thing still growing.

◆ Current state

hstats computes Friedman's H-statistics, partial dependence, ICE curves and permutation importance for any model exposing a prediction function. The releases in view are consolidation: performance work on plain data.frames, ICE facetting for multioutput models, ranger survival support, and a ggplot 4.0 compatibility pass in 2025. The package moved to the ModelOriented organisation in 1.2.0.

◆ Where it's heading

The structural work — the hstats_matrix object, quantile approximation, revised plotting — landed in 1.0.0 just outside this window, and nothing since has changed the package's shape. What continues is model-coverage plumbing: mlr3 classification modes, ranger survival behind a survival argument, and factor predictions added in 1.1.0 then removed again in 1.2.0. The most recent releases are compatibility-driven, tracking ggplot2 rather than the interaction statistics.

◆ Prediction

Expect the next release to be another dependency-compatibility pass or a new model backend working out of the box, rather than new interaction statistics.

N
n2kanalysis
ANALYTICS
0.0

n2kanalysis has spent eight years wiring INLA models to an S3 bucket.

◆ Current state

n2kanalysis is the analysis framework behind INBO's nature monitoring networks, wrapping INLA model fitting with a manifest-driven pipeline whose intermediate objects live in S3. Capability has arrived in discrete lumps: hurdle models with imputation and a manifest-to-bash converter in 0.3.1, SPDE spatial elements in INLA models in 0.4.0, and in 0.4.1 a connect_inbo_s3() function that makes temporary credentials available to the R functions.

◆ Where it's heading

Development is slow, institutional, and driven by the modeling needs of specific monitoring programmes rather than a product roadmap. The pattern across the window is a new model class when the ecology requires one, then a stretch of infrastructure work around storage, credentials and pipeline efficiency. The 0.4.1 release is characteristic — a credentials helper, better result retrieval, more tests and a code-style pass, with no modeling change at all. Much of the early history is recorded only as merge-commit titles, so the release record thins out the further back it goes.

◆ Prediction

Expect the next substantive release to add another INLA model variant as a monitoring programme needs it, with S3 and credential handling continuing to absorb the maintenance effort in between.

Alternatives to hstats and n2kanalysis

Other Analytics 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 hstats or n2kanalysis.

See all hstats alternatives → · See all n2kanalysis alternatives →

Recent activity from hstats and n2kanalysis

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

  1. 4mo agon2kanalysisconnect_inbo_s3() exposes temporary credentials to R
  2. 10mo agohstatsggplot 4.0 compatibility and test coverage
  3. 1y agon2kanalysisINLA models with SPDE elements supported
  4. 1y agohstatsranger survival models supported out of the box
  5. 2y agohstatsMoves to ModelOriented; factor predictions removed
  6. 2y agon2kanalysisfit_model() made more efficient
  7. 2y agohstatsICE facets for multioutput models; mlr3 fixes
  8. 2y agohstatsFaster data.frame paths; NaN H-statistics fixed
  9. 2y agohstatsFactor predictions and line-style 2D partial dependence
  10. 3y agon2kanalysisHurdle models with imputation added
  11. 7y agon2kanalysisImputed data handling improvements
  12. 7y agon2kanalysisINLA models consolidated onto a single class

Frequently asked questions

What is the difference between hstats and n2kanalysis?

They serve adjacent needs but don't currently overlap on shipped themes. hstats and n2kanalysis 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 hstats better than n2kanalysis?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. hstats and n2kanalysis 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 Analytics products to evaluate alongside.

What are the best alternatives to hstats?

Top hstats alternatives in Analytics are ranked by recent ship velocity. Browse the "hstats alternatives" section above for the current picks, or visit /alternatives/hstats for the full list with editorial commentary on each.

What are the best alternatives to n2kanalysis?

Top n2kanalysis alternatives in Analytics are ranked by recent ship velocity. Browse the "n2kanalysis alternatives" section above for the current picks, or visit /alternatives/n2kanalysis for the full list with editorial commentary on each.