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questionr vs STACAS

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

questionr vs STACAS: at a glance

FeaturequestionrSTACAS
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessurvey analysis, contingency tables, rstudio addins, tidyverse compatibilitysingle-cell, batch-correction, data-integration, seurat
Last editorial update2h ago47m ago
WebsiteVisit →Visit →

What is questionr?

questionr's survey helpers are finished; recent releases only keep pace with R-devel.

A long-running toolkit for survey data in R — proportion tables, weighted counts, and the interactive irec(), iorder() and icut() addins for recoding. The last functional release was 0.8.0 in March 2025: a new freqtable() function, prop(), cprop() and rprop() extended to tables of three or more dimensions, and the addins moved onto the native pipe and forcats' current API. Both releases since exist purely to fix tests broken by R-devel changes to table internals.

Read the full questionr 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 →

questionr vs STACAS: editorial side-by-side

Q
questionr
ANALYTICS
0.0

questionr's survey helpers are finished; recent releases only keep pace with R-devel.

◆ Current state

A long-running toolkit for survey data in R — proportion tables, weighted counts, and the interactive irec(), iorder() and icut() addins for recoding. The last functional release was 0.8.0 in March 2025: a new freqtable() function, prop(), cprop() and rprop() extended to tables of three or more dimensions, and the addins moved onto the native pipe and forcats' current API. Both releases since exist purely to fix tests broken by R-devel changes to table internals.

◆ Where it's heading

This is a stable package in compatibility-maintenance mode, where the release trigger is upstream churn rather than user demand. The functional work that does appear follows a consistent line — generalising the table functions beyond two dimensions, and keeping the interactive recoding addins aligned with current tidyverse idioms rather than the deprecated ones they were written against. The same maintainer's rainette shipped its own upstream-compatibility fix in the same window.

◆ Prediction

Expect the next release to be another R-devel or tidyverse compatibility fix; nothing in the entries points to new functionality.

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 questionr 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 questionr or STACAS.

See all questionr alternatives → · See all STACAS alternatives →

Recent activity from questionr and STACAS

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

  1. 6mo agoquestionrR-devel test fix for NA naming in tables
  2. 1y agoquestionrR-devel test fix for table subset classes
  3. 1y agoSTACASMulti-layer objects and Seurat v3-to-v5 conversion handled
  4. 1y agoquestionrfreqtable added; proportion tables handle three or more dimensions
  5. 2y agoSTACASscale.data option for extreme batch effects; gene name conversion table
  6. 3y agoSTACASReference seeding, gene symbol standardisation, large-scale integration path
  7. 3y agoquestionrAddins handle non-syntactic variable names
  8. 4y agoSTACASSemi-supervised integration and rPCA anchor downweighting
  9. 4y agoquestionrforcats errors on numeric variables fixed
  10. 4y agoquestionricut default changed; rp2018 dataset replaces rp99
  11. 5y agoSTACASSeurat 4.0.0 compatibility and SCTransform support

Frequently asked questions

What is the difference between questionr and STACAS?

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

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

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