STACAS
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
Comparison · Analytics
haze vs nat.nblast
A side-by-side editorial comparison of haze and nat.nblast — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
haze vs nat.nblast: at a glance
What is haze?
Four dormant years end with a modernization pass and an off-by-one fix in the C++ core
haze does nearest-neighbour smoothing and k-d tree interpolation on brain surface meshes. It sat untouched from April 2022 until July 2026, when a single release modernized it for current R versions and corrected an off-by-one error in the C++ code. It is not on CRAN and never will be — the package exceeds 50MB against CRAN's 5MB ceiling, a constraint its own initial release notes acknowledge.
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.
haze vs nat.nblast: editorial side-by-side
haze
2.5ANALYTICS
Four dormant years end with a modernization pass and an off-by-one fix in the C++ core
◆ Current state
haze does nearest-neighbour smoothing and k-d tree interpolation on brain surface meshes. It sat untouched from April 2022 until July 2026, when a single release modernized it for current R versions and corrected an off-by-one error in the C++ code. It is not on CRAN and never will be — the package exceeds 50MB against CRAN's 5MB ceiling, a constraint its own initial release notes acknowledge.
◆ Where it's heading
The July 2026 release arrived 56 minutes after its sibling regfusionr 0.3.0 from the same maintainer, which is the tell: this is a maintainer sweeping a set of related neuroimaging packages back into working order, not independent development on haze itself. haze is the dependency, regfusionr the consumer, and the substantive work sits on the regfusionr side. The off-by-one correction is the only change here that alters results.
◆ Prediction
Expect haze to move only when a downstream dfsp-spirit package needs it to — its cadence is driven by the sibling packages, not by its own roadmap.
nat.nblast
0.0ANALYTICS
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 haze 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 haze or nat.nblast.
ggtrace
A debugger for ggplot2's internals, hardening its grip as the internals it traces keep moving.
kde1d
A univariate density estimator that added zero-inflated data and reopened its C++ API to do it.
svines
Stationary vine copulas for time series, released in lockstep with the rest of Nagler's vine stack.
gghighlight
A single-purpose ggplot2 extension that has spent six years tracking ggplot2 instead of growing.
rtrek
A Star Trek data package that became a Memory Alpha web client and has been patching scrapers ever since.
See all haze alternatives → · See all nat.nblast alternatives →
Recent activity from haze and nat.nblast
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 18d agohazeVersion 0.3.0 -- Fixes and modernization
- 0y agonat.nblastCRAN cross-reference fixes and GitHub Actions setup
- 4y agohazev0.2.0 -- kdtrees
- 4y agohazev0.1.0: Initial release
- 5y agonat.nblastScale factor retained when normalising scores
- 7y agonat.nblastnhclust accepts score matrices directly
- 7y agonat.nblastR 3.3 compatibility fixes and first vignette
- 11y agonat.nblastPackage test fixes only
Frequently asked questions
What is the difference between haze and nat.nblast?
Both compete on the same themes — r-package — within Analytics. haze is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is haze better than nat.nblast?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. haze is currently shipping more aggressively (velocity 2.5 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
What are the best alternatives to haze?
Top haze alternatives in Analytics are ranked by recent ship velocity. Browse the "haze alternatives" section above for the current picks, or visit /alternatives/haze 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.