compositional.mle
An MLE package rebuilt around composable solvers, then renamed to match.
Comparison · Analytics
SeuratObject vs stdmod
A side-by-side editorial comparison of SeuratObject and stdmod — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
SeuratObject vs stdmod: at a glance
What is SeuratObject?
The data structure under Seurat, quietly absorbing spatial transcriptomics.
SeuratObject holds the classes and accessors that Seurat is built on, so its releases are felt by every package in that ecosystem rather than by end users directly. Recent work splits between spatial data support, where the Segmentation class gained an sf.data slot and Visium V2 image cropping arrived, and steady correction of subsetting behaviour. Version 5.4.0 adds a settable default dimensional reduction and finer control over factor levels when subsetting.
What is stdmod?
A moderation-analysis package now pointing users at its own siblings for the harder work.
stdmod computes standardized moderation effects in regression, part of a cluster of R packages from the same author covering moderation, mediation and model comparison. Its release feed is a CRAN-announcement format — several entries carry nothing but a version and a link — and its development has slowed markedly, with the substantive feature work sitting back in 2024. The most recent release is documentation rather than code.
SeuratObject vs stdmod: editorial side-by-side
SeuratObject
0.0ANALYTICS
The data structure under Seurat, quietly absorbing spatial transcriptomics.
◆ Current state
SeuratObject holds the classes and accessors that Seurat is built on, so its releases are felt by every package in that ecosystem rather than by end users directly. Recent work splits between spatial data support, where the Segmentation class gained an sf.data slot and Visium V2 image cropping arrived, and steady correction of subsetting behaviour. Version 5.4.0 adds a settable default dimensional reduction and finer control over factor levels when subsetting.
◆ Where it's heading
Two threads run through the window. The first is spatial: sf-backed segmentation boundaries, a compact slot to mark objects that skip the sp-inherited representation, and Visium V2 cropping, all pointing at spatial transcriptomics becoming a first-class citizen of the object model rather than a bolt-on. The second is a visible argument with itself over droplevels in subsetting, added in 5.1.0, reverted in 5.3.0, and returned in 5.4.0 as an opt-in parameter, which is how a foundational class settles a behaviour it cannot change lightly.
◆ Prediction
Expect the spatial classes to keep absorbing new assay formats, with breaking behaviour continuing to arrive as opt-in parameters rather than changed defaults.
stdmod
2.5ANALYTICS
A moderation-analysis package now pointing users at its own siblings for the harder work.
◆ Current state
stdmod computes standardized moderation effects in regression, part of a cluster of R packages from the same author covering moderation, mediation and model comparison. Its release feed is a CRAN-announcement format — several entries carry nothing but a version and a link — and its development has slowed markedly, with the substantive feature work sitting back in 2024. The most recent release is documentation rather than code.
◆ Where it's heading
The clearest signal is the latest release redirecting users toward betaselectr and manymome for tasks stdmod also covers, on the grounds that those packages handle them more comprehensively. That is a package consciously narrowing its scope within a family rather than competing with its siblings. The earlier feature work — conditional effects at chosen moderator values, R-squared increase reporting, print formatting — reads as a stable core that has since been left alone.
◆ Prediction
Expect stdmod to stay in maintenance while the author's newer packages absorb the overlapping functionality, with future releases likely limited to CRAN compliance and documentation.
Alternatives to SeuratObject and stdmod
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 SeuratObject or stdmod.
nabla
nabla dropped its C++ engine to chase exact derivatives at any order.
snowflakeauth
Eight months from first release to keyring caching and workload identity.
kwb.geosalz
A research-project workflow package where the interesting work is in the plumbing.
cyclocomp
A cyclomatic complexity checker that ships once every couple of years, and lands when it does.
revdbayes
Extreme value sampling in pure upkeep mode, mostly answering to Rcpp and CRAN.
See all SeuratObject alternatives → · See all stdmod alternatives →
Recent activity from SeuratObject and stdmod
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 22d agostdmodDocs now steer users to betaselectr and manymome
- 4mo agoSeuratObjectDefault dimensional reduction becomes settable on Seurat objects
- 7mo agostdmodv0.2.12 at CRAN
- 8mo agoSeuratObjectSegmentation gains a compact slot; subsetting stops dropping factor levels
- 11mo agoSeuratObjectSegmentation boundaries move to sf objects
- 1y agoSeuratObjectSubsetting starts dropping unused factor levels, plus spatial feature accessors
- 2y agoSeuratObjectSeuratObject 5.0.2
- 2y agostdmodSummary printout gains rounding and p-value formatting control
- 2y agostdmodR-squared increase reporting and chosen moderator values
- 2y agoSeuratObjectSeuratObject 5.0.1
- 3y agostdmodv0.2.0.0 at CRAN
- 4y agostdmodv0.1.7.4 at CRAN
Frequently asked questions
What is the difference between SeuratObject and stdmod?
Both compete on the same themes — r-package — within Analytics. stdmod 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 SeuratObject better than stdmod?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. stdmod 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 SeuratObject?
Top SeuratObject alternatives in Analytics are ranked by recent ship velocity. Browse the "SeuratObject alternatives" section above for the current picks, or visit /alternatives/seuratobject for the full list with editorial commentary on each.
What are the best alternatives to stdmod?
Top stdmod alternatives in Analytics are ranked by recent ship velocity. Browse the "stdmod alternatives" section above for the current picks, or visit /alternatives/stdmod for the full list with editorial commentary on each.