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STACAS vs TLF-Library

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

STACAS vs TLF-Library: at a glance

FeatureSTACASTLF-Library
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themessingle-cell, batch-correction, data-integration, seuratpharmacometrics, ggplot2, plotting, scientific-reporting
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

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 →

What is TLF-Library?

The Open Systems Pharmacology plotting layer spent 2025 absorbing a ggplot2 major break.

tlf is the plotting library behind Open Systems Pharmacology's tables, listings and figures — a ggplot2 wrapper producing the PK/PD reporting output the OSP suite generates. Recent work splits into two strands: a feature set adding Lower Limit Of Quantification annotation to time-profile and observed-vs-predicted plots alongside a reworked axis-limits API, and then hot fixes to survive ggplot2 v4.0.0's breaking changes. The axis change is the substantive one, separating cropping the view from filtering the data behind it.

Read the full TLF-Library trajectory →

STACAS vs TLF-Library: editorial side-by-side

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.

T
TLF-Library
ANALYTICS
0.0

The Open Systems Pharmacology plotting layer spent 2025 absorbing a ggplot2 major break.

◆ Current state

tlf is the plotting library behind Open Systems Pharmacology's tables, listings and figures — a ggplot2 wrapper producing the PK/PD reporting output the OSP suite generates. Recent work splits into two strands: a feature set adding Lower Limit Of Quantification annotation to time-profile and observed-vs-predicted plots alongside a reworked axis-limits API, and then hot fixes to survive ggplot2 v4.0.0's breaking changes. The axis change is the substantive one, separating cropping the view from filtering the data behind it.

◆ Where it's heading

The library is maturing into a stable reporting dependency rather than growing new plot types — the newest releases are watermark placement, log-tick safety and upstream compatibility, not new figures. Its exposure is to ggplot2: v4.0.0 required same-day hot fixes, which is the risk profile of a wrapper this thin. Note that this feed's version numbers and publication stamps disagree, with 1.5.170 stamped four months before the lower-numbered 1.5.158, so the release order has to be read from version numbers and the changelog ranges rather than from the feed order.

◆ Prediction

With the ggplot2 v4 fallout patched and the LLOQ work promoted to a stable 1.6 line, the next releases most likely continue as small rendering fixes. Nothing in these entries points to a new plot class in progress.

Alternatives to STACAS and TLF-Library

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 STACAS or TLF-Library.

See all STACAS alternatives → · See all TLF-Library alternatives →

Recent activity from STACAS and TLF-Library

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

  1. 9mo agoTLF-LibraryWatermark positioning decoupled from plot scales
  2. 11mo agoTLF-LibraryHot fixes for ggplot2 v4.0.0 breaking changes
  3. 11mo agoTLF-LibraryLLOQ annotation and axis cropping split from data filtering
  4. 1y agoTLF-LibraryDev build introducing LLOQ plots and the xAxisLimits rename
  5. 1y agoSTACASMulti-layer objects and Seurat v3-to-v5 conversion handled
  6. 1y agoTLF-LibraryError-bar cap fixes atop a restated feature list
  7. 1y agoTLF-LibraryDual-axis plots stop tripping cowplot
  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 STACAS and TLF-Library?

They serve adjacent needs but don't currently overlap on shipped themes. STACAS and TLF-Library 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 STACAS better than TLF-Library?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. STACAS and TLF-Library 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 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.

What are the best alternatives to TLF-Library?

Top TLF-Library alternatives in Analytics are ranked by recent ship velocity. Browse the "TLF-Library alternatives" section above for the current picks, or visit /alternatives/tlf-library for the full list with editorial commentary on each.