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Comparison · Analytics

benviplot vs STACAS

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

Shared themes:r-package

benviplot vs STACAS: at a glance

FeaturebenviplotSTACAS
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdata-visualization, color-palettes, ggplot2, brazilian-housingsingle-cell, batch-correction, data-integration, seurat
Last editorial update2h ago1h ago
WebsiteVisit →Visit →

What is benviplot?

A Brazilian housing-data palette package went from internal tooling to public 1.0 in five days.

benviplot supplies color palettes, ggplot2 scales, themes and plot helpers for charts in a consistent house style, oriented around Brazilian urban and rental-market data. The entire public history is compressed into early October 2025: a six-phase release plan took it from removing proprietary data through modernization, testing, vignettes, documentation and CI to a stable 1.0.0. The shipped package carries 36 curated palettes, discrete and continuous scale functions, and a rental price index dataset covering six Brazilian cities.

Read the full benviplot 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 →

benviplot vs STACAS: editorial side-by-side

B
benviplot
ANALYTICS
0.0

A Brazilian housing-data palette package went from internal tooling to public 1.0 in five days.

◆ Current state

benviplot supplies color palettes, ggplot2 scales, themes and plot helpers for charts in a consistent house style, oriented around Brazilian urban and rental-market data. The entire public history is compressed into early October 2025: a six-phase release plan took it from removing proprietary data through modernization, testing, vignettes, documentation and CI to a stable 1.0.0. The shipped package carries 36 curated palettes, discrete and continuous scale functions, and a rental price index dataset covering six Brazilian cities.

◆ Where it's heading

This is an internal tool being packaged for public consumption rather than a product evolving in the open — the phases were about legal separation, test coverage and check compliance, not new capability. Removing the sensitive QuintoAndar dataset and adding a disclaimer establishing independence was phase one, which frames the whole exercise. The one substantive addition along the way was the IQAIW rental index, built from a public source to replace what was removed.

◆ Prediction

With the release plan completed and the package stable, the most likely next work is periodic refreshes of the rental index dataset, which is published on an ongoing basis from 2023 onward. The entries give no indication of planned new palettes or plot functions.

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 benviplot 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 benviplot or STACAS.

See all benviplot alternatives → · See all STACAS alternatives →

Recent activity from benviplot and STACAS

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

  1. 10mo agobenviplotFirst stable release: 36 palettes, scales and plot helpers
  2. 10mo agobenviplotpkgdown site and multi-platform CI added
  3. 10mo agobenviplotIQAIW rental price index added for six Brazilian cities
  4. 10mo agobenviplotFour vignettes covering palettes, plots and theming
  5. 10mo agobenviplotTest suite of 196 tests, with pre-release bugs fixed
  6. 10mo agobenviplotBreaking 'pal' to 'palette' rename and ggplot2 4.0.0 fixes
  7. 1y agoSTACASMulti-layer objects and Seurat v3-to-v5 conversion handled
  8. 2y agoSTACASscale.data option for extreme batch effects; gene name conversion table
  9. 3y agoSTACASReference seeding, gene symbol standardisation, large-scale integration path
  10. 4y agoSTACASSemi-supervised integration and rPCA anchor downweighting
  11. 5y agoSTACASSeurat 4.0.0 compatibility and SCTransform support

Frequently asked questions

What is the difference between benviplot and STACAS?

Both compete on the same themes — r-package — within Analytics. benviplot 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 benviplot better than STACAS?

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

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