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haze vs scTypeEval

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

haze vs scTypeEval: at a glance

FeaturehazescTypeEval
SectorAnalyticsAnalytics
Velocity score2.50.0
Sparks · 30d00
Top themesneuroimaging, mesh-processing, interpolation, r-packagesingle-cell, cell type annotation, bioconductor, clustering evaluation
Last editorial update37m ago1h ago
WebsiteVisit →Visit →

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.

Read the full haze trajectory →

What is scTypeEval?

scTypeEval judges single-cell annotations without needing a ground truth to judge them against.

scTypeEval evaluates the consistency of single-cell cell type annotations without a ground-truth reference, using pseudobulk distances, Wasserstein distances and reciprocal classification as alternative dissimilarity strategies. It cleared Bioconductor's submission process on its first cycle, moving from a 0.99.30 pre-release in April 2026 to version 1.0.0 in the Bioconductor 3.23 release a month later. It accepts matrix, Seurat and SingleCellExperiment inputs.

Read the full scTypeEval trajectory →

haze vs scTypeEval: editorial side-by-side

H
haze
ANALYTICS
2.5

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.

S
scTypeEval
ANALYTICS
0.0

scTypeEval judges single-cell annotations without needing a ground truth to judge them against.

◆ Current state

scTypeEval evaluates the consistency of single-cell cell type annotations without a ground-truth reference, using pseudobulk distances, Wasserstein distances and reciprocal classification as alternative dissimilarity strategies. It cleared Bioconductor's submission process on its first cycle, moving from a 0.99.30 pre-release in April 2026 to version 1.0.0 in the Bioconductor 3.23 release a month later. It accepts matrix, Seurat and SingleCellExperiment inputs.

◆ Where it's heading

The visible history is short and shaped entirely by the Bioconductor pipeline — the 0.99.x series is that project's submission convention, and 1.0.0 is what acceptance looks like rather than a maturity claim by the authors. What the pre-release notes emphasise is breadth of input format and of dissimilarity strategy rather than a single recommended method, which suggests the package is positioned as a comparison harness rather than a scoring tool. Nothing in these two entries indicates work beyond getting accepted.

◆ Prediction

With only a submission cycle in the record, there is not enough here to predict a direction; the next release will most likely be whatever the Bioconductor 3.24 cycle requires, and the first post-acceptance release is what will show whether development continues.

Alternatives to haze and scTypeEval

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 scTypeEval.

See all haze alternatives → · See all scTypeEval alternatives →

Recent activity from haze and scTypeEval

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

  1. 18d agohazeVersion 0.3.0 -- Fixes and modernization
  2. 3mo agoscTypeEvalAccepted into the Bioconductor 3.23 release
  3. 4mo agoscTypeEvalBioconductor pre-release: ground-truth-agnostic annotation evaluation
  4. 4y agohazev0.2.0 -- kdtrees
  5. 4y agohazev0.1.0: Initial release

Frequently asked questions

What is the difference between haze and scTypeEval?

They serve adjacent needs but don't currently overlap on shipped themes. 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 scTypeEval?

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 scTypeEval?

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