simlandr
Potential landscape tooling settling onto standard R generics after two rounds of renaming.
Comparison · Analytics
splines2 vs STACAS
A side-by-side editorial comparison of splines2 and STACAS — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:r-package
splines2 vs STACAS: at a glance
What is splines2?
Spline bases built to interoperate: periodic B-splines and an nsk-compatible natural basis.
splines2 provides spline basis functions with their derivatives and integrals, in R and through an Rcpp interface. The 0.5.0 release in mid-2023 set the package's current surface; the four releases since are a correctness fix for natural cubic splines with one internal knot, a plotting argument, a compiler warning, and a documentation repair.
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.
splines2 vs STACAS: editorial side-by-side
splines2
0.0ANALYTICS
Spline bases built to interoperate: periodic B-splines and an nsk-compatible natural basis.
◆ Current state
splines2 provides spline basis functions with their derivatives and integrals, in R and through an Rcpp interface. The 0.5.0 release in mid-2023 set the package's current surface; the four releases since are a correctness fix for natural cubic splines with one internal knot, a plotting argument, a compiler warning, and a documentation repair.
◆ Where it's heading
The direction is interoperability rather than new mathematics. 0.5.0 added nsk() to match survival::nsk(), an H matrix for converting cubic B-splines produced elsewhere into this package's natural splines, and short aliases meant to be typed inside model formulas. Periodic B-splines were the one genuinely new basis, and its Rcpp knot-sequence handling needed a follow-up fix. Wenjie Wang maintains it alongside intsurv and reda.
◆ Prediction
The last four releases are all corrections, so the next one most likely continues that pattern; a further basis type would break a two-year run of consolidation.
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 splines2 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 splines2 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 splines2 alternatives → · See all STACAS alternatives →
Recent activity from splines2 and STACAS
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1y agoSTACASMulti-layer objects and Seurat v3-to-v5 conversion handled
- 1y agosplines2Natural cubic splines fixed for a single internal knot
- 2y agosplines2C++20 constructor template warning suppressed
- 2y agosplines2plot() accepts a coefficient vector
- 2y agoSTACASscale.data option for extreme batch effects; gene name conversion table
- 2y agosplines2Broken package-level documentation repaired
- 3y agoSTACASReference seeding, gene symbol standardisation, large-scale integration path
- 3y agosplines2Periodic B-splines, nsk(), and a basis conversion matrix ⚡
- 3y agosplines2Periodic M-spline knot sequence fixed in the Rcpp interface
- 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 splines2 and STACAS?
Both compete on the same themes — r-package — within Analytics. splines2 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 splines2 better than STACAS?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. splines2 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 splines2?
Top splines2 alternatives in Analytics are ranked by recent ship velocity. Browse the "splines2 alternatives" section above for the current picks, or visit /alternatives/splines2 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.