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effectplots vs nat.nblast

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

Shared themes:r-package

effectplots vs nat.nblast: at a glance

Featureeffectplotsnat.nblast
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesr-package, model-interpretability, ale, partial-dependenceneuroscience, neuron-morphology, natverse, similarity-search
Last editorial update50m ago1h ago
WebsiteVisit →Visit →

What is effectplots?

A young ALE and PDP plotting package that rebuilt its numeric core after a data-corrupting bug.

effectplots computes and plots partial dependence, ALE, and observed-versus-predicted effect curves for fitted models. It reached CRAN in November 2024 and shipped three releases in the four months after. The 0.2.0 release is the pivot: an outlier-clipping routine that silently modified the caller's data frame was fixed, the numeric path was rewritten for speed and memory, and the plotting and category-collapsing defaults were reset.

Read the full effectplots trajectory →

What is nat.nblast?

The NBLAST neuron-similarity engine is stable code on life support, shipping once every few years.

nat.nblast implements NBLAST, the pairwise neuron-morphology similarity algorithm used across the natverse for matching and clustering traced neurons — nblast(), nhclust() and the scoring-matrix machinery around them. The algorithm and its interface have not changed in a decade of releases; recent work is CRAN compliance and build infrastructure.

Read the full nat.nblast trajectory →

effectplots vs nat.nblast: editorial side-by-side

E
effectplots
ANALYTICS
0.0

A young ALE and PDP plotting package that rebuilt its numeric core after a data-corrupting bug.

◆ Current state

effectplots computes and plots partial dependence, ALE, and observed-versus-predicted effect curves for fitted models. It reached CRAN in November 2024 and shipped three releases in the four months after. The 0.2.0 release is the pivot: an outlier-clipping routine that silently modified the caller's data frame was fixed, the numeric path was rewritten for speed and memory, and the plotting and category-collapsing defaults were reset.

◆ Where it's heading

After 0.2.0 the work turns to the awkward cases - missing values on the x axis, explicit and empty factor levels, discrete grid detection. The package is also widening past a single modelling ecosystem: h2o support and tidymodels examples arrived with 0.2.0, and fcut() was exported as a fast replacement for cut(). Release notes are issue-numbered throughout, so the roadmap is effectively the issue tracker.

◆ Prediction

Expect continued default tuning around collapse_m and discrete_m plus more model-backend coverage; the cadence points to another batch of issue fixes rather than a new plot type.

N
nat.nblast
ANALYTICS
0.0

The NBLAST neuron-similarity engine is stable code on life support, shipping once every few years.

◆ Current state

nat.nblast implements NBLAST, the pairwise neuron-morphology similarity algorithm used across the natverse for matching and clustering traced neurons — nblast(), nhclust() and the scoring-matrix machinery around them. The algorithm and its interface have not changed in a decade of releases; recent work is CRAN compliance and build infrastructure.

◆ Where it's heading

The four-year gap between 1.6.6 and 1.6.8 says most of it: this is finished code being kept on CRAN rather than a package under development. The 1.6.8 release fixes Rd cross-references and moves continuous integration to GitHub Actions, with no user-facing change at all. The last release that altered numerical output was 1.6.6 in 2021.

◆ Prediction

Expect further releases only when CRAN check policy or a natverse dependency forces one. Nothing in these entries suggests algorithmic work is underway.

Alternatives to effectplots and nat.nblast

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 effectplots or nat.nblast.

See all effectplots alternatives → · See all nat.nblast alternatives →

Recent activity from effectplots and nat.nblast

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

  1. 0y agonat.nblastCRAN cross-reference fixes and GitHub Actions setup
  2. 1y agoeffectplotsRare categories collapse into an 'other' level
  3. 1y agoeffectplotsMissing x values now plotted for numeric features
  4. 1y agoeffectplotsNumeric core rewritten after an in-place data corruption fix
  5. 1y agoeffectplotsInitial CRAN release
  6. 5y agonat.nblastScale factor retained when normalising scores
  7. 7y agonat.nblastnhclust accepts score matrices directly
  8. 7y agonat.nblastR 3.3 compatibility fixes and first vignette
  9. 11y agonat.nblastPackage test fixes only

Frequently asked questions

What is the difference between effectplots and nat.nblast?

Both compete on the same themes — r-package — within Analytics. effectplots and nat.nblast 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 effectplots better than nat.nblast?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. effectplots and nat.nblast 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 effectplots?

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

What are the best alternatives to nat.nblast?

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