← Back to home
Comparison · Analytics

bpbounds vs fairmodels

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

bpbounds vs fairmodels: at a glance

Featurebpboundsfairmodels
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themescausal inference, instrumental variables, r, partial identificationfairness auditing, bias detection, dalex, r package
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

What is bpbounds?

bpbounds found the same swapped-cell bug twice and clamped its bounds back into range

bpbounds computes nonparametric Balke-Pearl bounds on the average causal effect from instrumental variable data, in the bivariate and trivariate cases. After years of pure packaging maintenance, the two 2026 releases are analytical corrections. Bounds on intervention probabilities are now clamped to [0, 1] so derived causal risk ratio bounds cannot fall outside their feasible range, and a cell-ordering error in the trivariate three-category instrument path has been repaired.

Read the full bpbounds 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 Version 0.2.2 set the package's core design when it superseded metric differences with ratios.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 →

bpbounds vs fairmodels: editorial side-by-side

B
bpbounds
ANALYTICS
0.0

bpbounds found the same swapped-cell bug twice and clamped its bounds back into range

◆ Current state

bpbounds computes nonparametric Balke-Pearl bounds on the average causal effect from instrumental variable data, in the bivariate and trivariate cases. After years of pure packaging maintenance, the two 2026 releases are analytical corrections. Bounds on intervention probabilities are now clamped to [0, 1] so derived causal risk ratio bounds cannot fall outside their feasible range, and a cell-ordering error in the trivariate three-category instrument path has been repaired.

◆ Where it's heading

The direction is toward agreement with the reference Stata implementation and away from silently wrong output. The clamping change is described as matching the same fix in the Stata package, which suggests the two implementations are being reconciled rather than developed independently. The cell-ordering defect is the more instructive one: it was fixed in the calculation function in 0.1.7 and then again in the constraint matrix in 0.1.8, meaning the same x=0,y=1 / x=1,y=0 swap had been written in two places.

◆ Prediction

Since the recent fixes came from an external contributor's report and both touched the trivariate three-category path, the untested corners of that path are where further corrections would surface — but the release notes give no roadmap beyond parity with the Stata package.

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 bpbounds 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 bpbounds or fairmodels.

See all bpbounds alternatives → · See all fairmodels alternatives →

Recent activity from bpbounds and fairmodels

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

  1. 1mo agobpboundsbpbounds clamps probability bounds and fixes a constraint-matrix swap
  2. 2mo agobpboundsbpbounds fixes swapped cells in the trivariate calculation
  3. 9mo agofairmodelsOne-line fix in fairness_heatmap
  4. 2y agobpboundsbpbounds 0.1.6
  5. 3y agobpboundsbpbounds 0.1.5
  6. 3y agofairmodelsCRAN compliance fixes and citation update
  7. 4y agofairmodelsCRAN v1.2.0
  8. 5y agofairmodelsCRAN v1.1.0
  9. 5y agofairmodelsDocumentation fixes and trimmed example runtimes
  10. 5y agofairmodelsCorrects parity_loss in the cutoff functions
  11. 6y agobpboundsVersion 0.1.4 on CRAN
  12. 7y agobpboundsVersion 0.1.3

Frequently asked questions

What is the difference between bpbounds and fairmodels?

They serve adjacent needs but don't currently overlap on shipped themes. bpbounds 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 bpbounds better than fairmodels?

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

Top bpbounds alternatives in Analytics are ranked by recent ship velocity. Browse the "bpbounds alternatives" section above for the current picks, or visit /alternatives/bpbounds 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.