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fracture vs STACAS

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

fracture vs STACAS: at a glance

FeaturefractureSTACAS
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesnumeric formatting, fractions, utility package, maintenancesingle-cell, batch-correction, data-integration, seurat
Last editorial update2h ago51m ago
WebsiteVisit →Visit →

What is fracture?

fracture solved decimal-to-fraction conversion years ago and now only answers to CRAN.

A single-purpose package converting decimals to fractions, with a matrix form and a Unicode pretty-printer. The functional work finished in 2021-2022: an explicit denom argument, named-argument-only calling, sensible denominators at 0 and 1, and NA and Inf handled rather than erroring. The only release since is a four-year-later removal of a C++11 system requirement that R's C++17 default made redundant.

Read the full fracture trajectory →

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.

Read the full STACAS trajectory →

fracture vs STACAS: editorial side-by-side

F
fracture
ANALYTICS
0.0

fracture solved decimal-to-fraction conversion years ago and now only answers to CRAN.

◆ Current state

A single-purpose package converting decimals to fractions, with a matrix form and a Unicode pretty-printer. The functional work finished in 2021-2022: an explicit denom argument, named-argument-only calling, sensible denominators at 0 and 1, and NA and Inf handled rather than erroring. The only release since is a four-year-later removal of a C++11 system requirement that R's C++17 default made redundant.

◆ Where it's heading

This is a completed utility. Its arc ran from correctness — floating-point rounding, exhaustive tests across millions of fractions — through API tightening, to edge-case tolerance, and then stopped. The 2026 release contains no user-visible change at all; it exists because CRAN's toolchain moved, which is the characteristic maintenance mode of a small package that does one thing correctly.

◆ Prediction

Nothing in these entries suggests new functionality; expect further releases only when R or CRAN policy forces one, as this one did.

S
STACAS
ANALYTICS
0.0

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 fracture 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 fracture or STACAS.

See all fracture alternatives → · See all STACAS alternatives →

Recent activity from fracture and STACAS

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

  1. 6mo agofractureObsolete C++11 requirement removed
  2. 1y agoSTACASMulti-layer objects and Seurat v3-to-v5 conversion handled
  3. 2y agoSTACASscale.data option for extreme batch effects; gene name conversion table
  4. 3y agoSTACASReference seeding, gene symbol standardisation, large-scale integration path
  5. 4y agoSTACASSemi-supervised integration and rPCA anchor downweighting
  6. 4y agofractureNA and Inf inputs handled instead of erroring
  7. 4y agofractureExplicit denominator argument; arguments now named-only
  8. 5y agoSTACASSeurat 4.0.0 compatibility and SCTransform support
  9. 5y agofractureUnicode fraction formatting and rounding fixes

Frequently asked questions

What is the difference between fracture and STACAS?

They serve adjacent needs but don't currently overlap on shipped themes. fracture 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 fracture better than STACAS?

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

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