simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
Comparison · Analytics
crossmap vs STACAS
A side-by-side editorial comparison of crossmap and STACAS — release velocity, themes, recent moves, and the top alternatives to consider.
crossmap vs STACAS: at a glance
What is crossmap?
crossmap's roadmap is set by purrr and furrr — it deprecates what upstream deprecates.
A small package for mapping over combinations of arguments, following purrr and furrr conventions. Its own functional additions stopped after xpluck() in 2023 and the cross_fit() clustering work in 2022. Everything since tracks upstream: xmap_raw() and future_xmap_raw() are now defunct because purrr removed map_raw() and furrr removed future_pmap_raw(), and re-exported parallel helpers now come from parallelly rather than future.
What is STACAS?
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
STACAS integrates single-cell RNA-seq datasets by finding and weighting anchors between them, with rPCA-distance-based downweighting and an optional semi-supervised mode that uses cell type labels to discard inconsistent anchors. IntegrateData.STACAS() performs the integration natively rather than handing off, and StandardizeGeneSymbols() normalises gene naming across datasets before anchors are computed.
crossmap vs STACAS: editorial side-by-side
crossmap
0.0ANALYTICS
crossmap's roadmap is set by purrr and furrr — it deprecates what upstream deprecates.
◆ Current state
A small package for mapping over combinations of arguments, following purrr and furrr conventions. Its own functional additions stopped after xpluck() in 2023 and the cross_fit() clustering work in 2022. Everything since tracks upstream: xmap_raw() and future_xmap_raw() are now defunct because purrr removed map_raw() and furrr removed future_pmap_raw(), and re-exported parallel helpers now come from parallelly rather than future.
◆ Where it's heading
The package has settled into being a compatible extension rather than an independent one — its release notes read as a mirror of purrr's and furrr's deprecation schedules. Note that the release stamps are unreliable here: several versions were backfilled minutes apart and the 0.3.x tags carry timestamps in reverse version order, so feed position says nothing about what shipped when.
◆ Prediction
Expect the next release to be driven by another purrr or furrr change rather than new functionality, since that has been the sole trigger for the last four.
STACAS
0.0ANALYTICS
Single-cell batch correction that learned to use cell labels, then spent three releases chasing Seurat.
◆ Current state
STACAS integrates single-cell RNA-seq datasets by finding and weighting anchors between them, with rPCA-distance-based downweighting and an optional semi-supervised mode that uses cell type labels to discard inconsistent anchors. IntegrateData.STACAS() performs the integration natively rather than handing off, and StandardizeGeneSymbols() normalises gene naming across datasets before anchors are computed.
◆ Where it's heading
The method work concentrated in version 2.0 and has been stable since; everything after is Seurat compatibility and operational robustness. Versions 2.1.1 through 2.3.0 track Seurat v5 assays, v3-to-v5 conversion, multi-layer objects and SCT normalisation, with the genuinely useful additions — a reference seed dataset, max.seed.datasets for large-scale integration, min.sample.size — arriving as side effects of that work. The package is from the same lab as GeneNMF, and its release rhythm follows the single-cell ecosystem's upstream churn rather than an internal roadmap.
◆ Prediction
Expect the next release to follow further Seurat object-model changes, which have driven the last three. Nothing in the entries indicates new anchor-scoring or correction methodology in progress.
Alternatives to crossmap and STACAS
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 crossmap or STACAS.
lavaanExtra
SEM reporting helpers converging on APA output, one CRAN resubmission at a time.
ibis.iSDM
A raster-to-terra migration is the only readable change in a feed of merge notes.
anyflights
A nycflights13 generator whose recent work is all about the data being right.
vinereg
Conditional density and log-likelihood fill out a vine copula regression package.
stringx
A drop-in string API for base R, kept alive by upstream check failures.
See all crossmap alternatives → · See all STACAS alternatives →
Recent activity from crossmap and STACAS
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 6mo agocrossmapRaw-vector mapping functions removed
- 6mo agocrossmapRe-exports moved to the parallelly namespace
- 11mo agocrossmapFuture-backed tests skipped on CRAN
- 11mo agocrossmapInternal test fixes
- 1y agoSTACASMulti-layer objects and Seurat v3-to-v5 conversion handled
- 2y agoSTACASscale.data option for extreme batch effects; gene name conversion table
- 3y agoSTACASReference seeding, gene symbol standardisation, large-scale integration path
- 3y agocrossmapxpluck adds multi-index plucking
- 4y agocrossmapCluster specifications supported in cross_fit
- 4y agoSTACASSemi-supervised integration and rPCA anchor downweighting ⚡
- 5y agoSTACASSeurat 4.0.0 compatibility and SCTransform support
Frequently asked questions
What is the difference between crossmap and STACAS?
They serve adjacent needs but don't currently overlap on shipped themes. crossmap and STACAS 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 crossmap better than STACAS?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. crossmap and STACAS 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 crossmap?
Top crossmap alternatives in Analytics are ranked by recent ship velocity. Browse the "crossmap alternatives" section above for the current picks, or visit /alternatives/crossmap for the full list with editorial commentary on each.
What are the best alternatives to STACAS?
Top STACAS alternatives in Analytics are ranked by recent ship velocity. Browse the "STACAS alternatives" section above for the current picks, or visit /alternatives/stacas for the full list with editorial commentary on each.