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fairmodels vs n1qn1c

A side-by-side editorial comparison of fairmodels and n1qn1c — release velocity, themes, recent moves, and the top alternatives to consider.

fairmodels vs n1qn1c: at a glance

Featurefairmodelsn1qn1c
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesfairness auditing, bias detection, dalex, r packagenumerical-optimization, quasi-newton, thread-safety, memory-safety
Last editorial update4h ago58m ago
WebsiteVisit →Visit →

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 Version 0.2.2 set the package's core design when it superseded metric differences with ratios.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

What is n1qn1c?

A Fortran-descended optimizer got thread-safe, then found two flags that never worked.

n1qn1c is a quasi-Newton optimization routine translated from Fortran to C, used as a solver backend by the nlmixr2 modeling stack rather than called directly by most users. Its two 2026 releases are a concentrated safety pass: global state converted to thread_local, static removed from local variables in the translated code, integer overflow guards added, and memory leaks closed in the R callback wrappers — plus the gcc-asan and valgrind fixes CRAN asked for.

Read the full n1qn1c trajectory →

fairmodels vs n1qn1c: editorial side-by-side

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 Version 0.2.2 set the package's core design when it superseded metric differences with ratios.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

N
n1qn1c
ANALYTICS
0.0

A Fortran-descended optimizer got thread-safe, then found two flags that never worked.

◆ Current state

n1qn1c is a quasi-Newton optimization routine translated from Fortran to C, used as a solver backend by the nlmixr2 modeling stack rather than called directly by most users. Its two 2026 releases are a concentrated safety pass: global state converted to thread_local, static removed from local variables in the translated code, integer overflow guards added, and memory leaks closed in the R callback wrappers — plus the gcc-asan and valgrind fixes CRAN asked for.

◆ Where it's heading

The package is being hardened for use inside a parallel modeling framework rather than extended. The audit that produced the thread-safety work also surfaced two plain bugs in features users would have assumed worked: restart = TRUE left the mode at 2 instead of 3 because of a typo, and assign = TRUE referenced the wrong field name so the compressed Hessian was never written to the supplied environment. Earlier work points the same direction — the 6.0.1-12 function-pointer interface exists so nlmixr2est does not need resubmission when this package changes.

◆ Prediction

Expect further memory-safety and sanitizer work rather than algorithmic change; a Fortran-translated numerical core under CRAN's checking regime generates that kind of release indefinitely.

Alternatives to fairmodels and n1qn1c

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 fairmodels or n1qn1c.

See all fairmodels alternatives → · See all n1qn1c alternatives →

Recent activity from fairmodels and n1qn1c

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

  1. 4mo agon1qn1crestart and assign flags fixed; sanitizer issues cleared
  2. 4mo agon1qn1cGlobal state converted to thread_local
  3. 9mo agofairmodelsOne-line fix in fairness_heatmap
  4. 1y agon1qn1cFunction-pointer API decouples nlmixr2est releases
  5. 3y agofairmodelsCRAN compliance fixes and citation update
  6. 4y agofairmodelsCRAN v1.2.0
  7. 5y agofairmodelsCRAN v1.1.0
  8. 5y agofairmodelsDocumentation fixes and trimmed example runtimes
  9. 5y agofairmodelsCorrects parity_loss in the cutoff functions

Frequently asked questions

What is the difference between fairmodels and n1qn1c?

They serve adjacent needs but don't currently overlap on shipped themes. fairmodels and n1qn1c 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 fairmodels better than n1qn1c?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. fairmodels and n1qn1c 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 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.

What are the best alternatives to n1qn1c?

Top n1qn1c alternatives in Analytics are ranked by recent ship velocity. Browse the "n1qn1c alternatives" section above for the current picks, or visit /alternatives/n1qn1c for the full list with editorial commentary on each.