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collinear vs scTypeEval

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

Shared themes:r package

collinear vs scTypeEval: at a glance

FeaturecollinearscTypeEval
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesmulticollinearity, variable selection, vif, breaking changessingle-cell, cell type annotation, bioconductor, clustering evaluation
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is collinear?

collinear has broken its API twice to stop making the user pick thresholds.

collinear removes multicollinearity from predictor sets through pairwise correlation and VIF filtering, with a preference order deciding which variable survives each conflict. Two major versions in thirteen months each rewrote the interface: 2.0.0 extended every function to any combination of categorical and numeric responses and predictors, and 3.0.0 moved to multiple responses, restructured the output into classed objects, and made both filtering thresholds adaptive by default. Version 3.0.1 is the first release since that is purely repair.

Read the full collinear 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 →

collinear vs scTypeEval: editorial side-by-side

C
collinear
ANALYTICS
0.0

collinear has broken its API twice to stop making the user pick thresholds.

◆ Current state

collinear removes multicollinearity from predictor sets through pairwise correlation and VIF filtering, with a preference order deciding which variable survives each conflict. Two major versions in thirteen months each rewrote the interface: 2.0.0 extended every function to any combination of categorical and numeric responses and predictors, and 3.0.0 moved to multiple responses, restructured the output into classed objects, and made both filtering thresholds adaptive by default. Version 3.0.1 is the first release since that is purely repair.

◆ Where it's heading

The through-line is removing decisions the user was never well placed to make. Preference-order functions were renamed twice — first onto a metric-and-model scheme in 2.0.0, then onto a response-type scheme in 3.0.0 — and f_auto() picks one when none is given; target encoding went from automatic to opt-in; max_cor and max_vif now default to NULL and trigger a data-driven threshold derived from the 75th percentile of pairwise correlations through a sigmoid and a fitted correlation-to-VIF mapping. Each change is defensible and each one broke callers, which is the cost of this approach.

◆ Prediction

3.0.1 moved the example datasets out into a separate spatialData package and fixed four crashes rather than adding anything, so the next release is most likely more consolidation on the 3.0 surface than a fourth interface.

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 collinear 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 collinear or scTypeEval.

See all collinear alternatives → · See all scTypeEval alternatives →

Recent activity from collinear and scTypeEval

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

  1. 3mo agoscTypeEvalAccepted into the Bioconductor 3.23 release
  2. 3mo agocollinearNamespace, NA and sf fixes; example data moves to spatialData
  3. 4mo agoscTypeEvalBioconductor pre-release: ground-truth-agnostic annotation evaluation
  4. 8mo agocollinearAdaptive thresholds, multi-response support and a new output class
  5. 1y agocollinearCategorical responses, f_auto() defaults and future-based parallelism

Frequently asked questions

What is the difference between collinear and scTypeEval?

Both compete on the same themes — r package — within Analytics. collinear and scTypeEval 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 collinear better than scTypeEval?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. collinear and scTypeEval 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 collinear?

Top collinear alternatives in Analytics are ranked by recent ship velocity. Browse the "collinear alternatives" section above for the current picks, or visit /alternatives/collinear 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.