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Comparison · Analytics

epiflows vs fairmodels

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

epiflows vs fairmodels: at a glance

Featureepiflowsfairmodels
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr, epidemiology, dormant, maintenancefairness auditing, bias detection, dalex, 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 fairmodels?

fairmodels sits dormant for three years, resurfacing only to satisfy a CRAN check.

fairmodels audits classification models for bias, built around fairness_check() and parity-loss metrics on top of DALEX explainers. The last substantive work dates from 2021; the 2025 release is a single-line change swapping ifelse for if/else in fairness_heatmap. Version 0.2.2 set the package's core design when it superseded metric differences with ratios.

Read the full fairmodels trajectory →

epiflows vs fairmodels: 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.

F
fairmodels
ANALYTICS
0.0

fairmodels sits dormant for three years, resurfacing only to satisfy a CRAN check.

◆ Current state

fairmodels audits classification models for bias, built around fairness_check() and parity-loss metrics on top of DALEX explainers. The last substantive work dates from 2021; the 2025 release is a single-line change swapping ifelse for if/else in fairness_heatmap. Version 0.2.2 set the package's core design when it superseded metric differences with ratios.

◆ Where it's heading

The release history describes a package that reached its intended shape early and has been custodial since — the gap from August 2022 to October 2025 carries no functional change at all. What movement exists is CRAN-driven: documentation compliance, example runtimes, coding-style notes. The fairness metrics themselves have not changed since the parity_loss corrections of 2020.

◆ Prediction

On this cadence the next release is most likely another CRAN-prompted one-liner rather than new fairness metrics; nothing in these entries points to active development.

Alternatives to epiflows and fairmodels

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 fairmodels.

See all epiflows alternatives → · See all fairmodels alternatives →

Recent activity from epiflows and fairmodels

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

  1. 5mo agoepiflowsDeprecated ggplot2 and tibble calls replaced
  2. 9mo agofairmodelsOne-line fix in fairness_heatmap
  3. 3y agoepiflowsRoxygen patch for CRAN checks
  4. 3y agofairmodelsCRAN compliance fixes and citation update
  5. 4y agofairmodelsCRAN v1.2.0
  6. 5y agofairmodelsCRAN v1.1.0
  7. 5y agofairmodelsDocumentation fixes and trimmed example runtimes
  8. 5y agofairmodelsCorrects parity_loss in the cutoff functions
  9. 7y agoepiflowsFirst Zenodo archival tag
  10. 8y agoepiflowsFirst CRAN release

Frequently asked questions

What is the difference between epiflows and fairmodels?

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

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

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