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Comparison · Analytics

epiflows vs hstats

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

epiflows vs hstats: at a glance

Featureepiflowshstats
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, epidemiology, dormant, maintenanceinteraction statistics, partial dependence, model explainability, r package
Last editorial update1h ago7h ago
WebsiteVisit →Visit →

What is epiflows?

epiflows has shipped four releases in eight years, none of which changed the code.

epiflows predicts the spread of infectious disease along population flows between locations, and it is effectively dormant. The whole visible history spans 2018 to 2026 in four entries: the first CRAN release, a Zenodo archival tag, a Roxygen patch whose notes state the functionality is unchanged, and a 2026 release replacing deprecated ggplot2 and tibble calls. No entry describes new epidemiological capability.

Read the full epiflows trajectory →

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 →

epiflows vs hstats: editorial side-by-side

E
epiflows
ANALYTICS
0.0

epiflows has shipped four releases in eight years, none of which changed the code.

◆ Current state

epiflows predicts the spread of infectious disease along population flows between locations, and it is effectively dormant. The whole visible history spans 2018 to 2026 in four entries: the first CRAN release, a Zenodo archival tag, a Roxygen patch whose notes state the functionality is unchanged, and a 2026 release replacing deprecated ggplot2 and tibble calls. No entry describes new epidemiological capability.

◆ Where it's heading

The package is being kept installable rather than developed. The one recent release is dependency maintenance contributed from outside, which is the pattern for RECON-era epidemiology packages that have outlived their original project funding. Two separate entries are both labelled version 0.2.1, so even the version history is not a reliable guide to what changed.

◆ Prediction

Any further releases will most likely be more deprecation cleanup to keep the package on CRAN; there is nothing in the record suggesting active development has resumed.

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.

Alternatives to epiflows and hstats

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 epiflows or hstats.

See all epiflows alternatives → · See all hstats alternatives →

Recent activity from epiflows and hstats

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

  1. 5mo agoepiflowsDeprecated ggplot2 and tibble calls replaced
  2. 10mo agohstatsggplot 4.0 compatibility and test coverage
  3. 1y agohstatsranger survival models supported out of the box
  4. 2y agohstatsMoves to ModelOriented; factor predictions removed
  5. 2y agohstatsICE facets for multioutput models; mlr3 fixes
  6. 2y agohstatsFaster data.frame paths; NaN H-statistics fixed
  7. 2y agohstatsFactor predictions and line-style 2D partial dependence
  8. 3y agoepiflowsRoxygen patch for CRAN checks
  9. 7y agoepiflowsFirst Zenodo archival tag
  10. 8y agoepiflowsFirst CRAN release

Frequently asked questions

What is the difference between epiflows and hstats?

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

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. epiflows and hstats 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 epiflows?

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

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.