simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
Comparison · Analytics
effectplots vs nat.templatebrains
A side-by-side editorial comparison of effectplots and nat.templatebrains — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
effectplots vs nat.templatebrains: at a glance
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.
What is nat.templatebrains?
The natverse package that taught neuron data to remember which brain space it lives in.
nat.templatebrains handles registration between template brain spaces — xform_brain(), mirror_brain(), and the bridging-registration graph that finds a path from one template to another. Since 0.8 transformed objects carry a regtemplate attribute recording their space, so downstream natverse functions can usually infer it rather than being told. The package is now in low-cadence maintenance, with 1.2.1 blocked on a CRAN submission window rather than on code.
effectplots vs nat.templatebrains: editorial side-by-side
effectplots
0.0ANALYTICS
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.
nat.templatebrains
0.0ANALYTICS
The natverse package that taught neuron data to remember which brain space it lives in.
◆ Current state
nat.templatebrains handles registration between template brain spaces — xform_brain(), mirror_brain(), and the bridging-registration graph that finds a path from one template to another. Since 0.8 transformed objects carry a regtemplate attribute recording their space, so downstream natverse functions can usually infer it rather than being told. The package is now in low-cadence maintenance, with 1.2.1 blocked on a CRAN submission window rather than on code.
◆ Where it's heading
The substantive design work finished years ago. The arc ran from manual space bookkeeping, through memoised bridging-sequence lookup, to self-describing objects at 0.8 — after which releases became dependency hygiene and CRAN paperwork. Two of the last three entries change no code at all: one demotes Morpho from Imports to Suggests, the other updates submission comments.
◆ Prediction
The next release is most likely the delayed 1.2.1 CRAN submission itself. The entries show no pending functional work beyond it.
Alternatives to effectplots and nat.templatebrains
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.templatebrains.
lavaanExtra
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
ibis.iSDM
A raster-to-terra migration is the only readable change in a feed of merge notes.
anyflights
A nycflights13 generator whose recent work is all about the data being right.
vinereg
Conditional density and log-likelihood fill out a vine copula regression package.
stringx
A drop-in string API for base R, kept alive by upstream check failures.
See all effectplots alternatives → · See all nat.templatebrains alternatives →
Recent activity from effectplots and nat.templatebrains
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agonat.templatebrainsv1.2.1: update cran-comments for submission
- 1y agoeffectplotsRare categories collapse into an 'other' level
- 1y agoeffectplotsMissing x values now plotted for numeric features
- 1y agoeffectplotsNumeric core rewritten after an in-place data corruption fix ⚡
- 1y agoeffectplotsInitial CRAN release
- 3y agonat.templatebrainsMorpho demoted from Imports to Suggests
- 8y agonat.templatebrainsIdentity transforms skipped, constructor requirements relaxed
- 9y agonat.templatebrainsTransformed objects now carry their registration space ⚡
Frequently asked questions
What is the difference between effectplots and nat.templatebrains?
Both compete on the same themes — r-package — within Analytics. effectplots and nat.templatebrains 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.templatebrains?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. effectplots and nat.templatebrains 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.templatebrains?
Top nat.templatebrains alternatives in Analytics are ranked by recent ship velocity. Browse the "nat.templatebrains alternatives" section above for the current picks, or visit /alternatives/nat-templatebrains for the full list with editorial commentary on each.