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Comparison · Analytics
probmed vs scTypeEval
A side-by-side editorial comparison of probmed and scTypeEval — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r package
probmed vs scTypeEval: at a glance
What is probmed?
probmed went from one probabilistic effect size to a family of them in sixteen days.
probmed computes P_med, a scale-free probabilistic effect size for causal mediation, as part of the Data-Wise mediationverse alongside medfit, medsim and RMediation. Three releases in three weeks took it from a single estimator to four additional families built on a shared cross-fitted corner-EIF core, covering gauge-calibrated, incremental-elasticity and Sobol variance-share versions of the proportion mediated. Distribution is GitHub and r-universe rather than CRAN, with a load-bearing Remotes pin on medfit.
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.
probmed vs scTypeEval: editorial side-by-side
probmed
0.0ANALYTICS
probmed went from one probabilistic effect size to a family of them in sixteen days.
◆ Current state
probmed computes P_med, a scale-free probabilistic effect size for causal mediation, as part of the Data-Wise mediationverse alongside medfit, medsim and RMediation. Three releases in three weeks took it from a single estimator to four additional families built on a shared cross-fitted corner-EIF core, covering gauge-calibrated, incremental-elasticity and Sobol variance-share versions of the proportion mediated. Distribution is GitHub and r-universe rather than CRAN, with a load-bearing Remotes pin on medfit.
◆ Where it's heading
The pace is manuscript-driven — estimators arrive with their citations attached and vignettes alongside, and the 0.1.0 notes correct the estimand itself against a manuscript definition rather than fixing a bug in code. Each release adds inference machinery as well as point estimates: percentile-bootstrap intervals and Fieller sets in 0.3.0, a deterministic MBCO interval in 0.2.0 that avoids resampling entirely. The gauge residual and the pmed_sensitivity() helper suggest a growing concern with when the estimand does not decompose at all.
◆ Prediction
0.3.0 shipped a sensitivity helper for shared mediator-outcome confounding and a diagnostic that flags non-decomposability, so the next release most likely extends that diagnostic side rather than adding a fifth estimator family.
scTypeEval
0.0ANALYTICS
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 probmed 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 probmed or scTypeEval.
quanteda
Text analysis in R keeps optimising its token internals — and builds a path out to torch
moderndive
The ModernDive teaching package learns to render inside the browser that runs its own textbook
glmbayes
A GPU-accelerated Bayesian GLM package buys its way into the standard R Bayesian toolchain
hydroloom
USGS puts a type system over its river network toolkit so errors surface at dispatch
chromConverter
The chromatography file-format translator keeps absorbing vendor formats one release at a time
See all probmed alternatives → · See all scTypeEval alternatives →
Recent activity from probmed and scTypeEval
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoprobmedFour estimator families on a cross-fitted corner-EIF core ⚡
- 2mo agoprobmedParallel mediators and a resampling-free MBCO interval ⚡
- 2mo agoprobmedFirst release: pmed() with the estimand corrected
- 3mo agoscTypeEvalAccepted into the Bioconductor 3.23 release
- 4mo agoscTypeEvalBioconductor pre-release: ground-truth-agnostic annotation evaluation
Frequently asked questions
What is the difference between probmed and scTypeEval?
Both compete on the same themes — r package — within Analytics. probmed 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 probmed better than scTypeEval?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. probmed 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 probmed?
Top probmed alternatives in Analytics are ranked by recent ship velocity. Browse the "probmed alternatives" section above for the current picks, or visit /alternatives/probmed 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.