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simmer.plot vs STACAS

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

Shared themes:r-package

simmer.plot vs STACAS: at a glance

Featuresimmer.plotSTACAS
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesdiscrete-event-simulation, simmer, ggplot2, visualisationsingle-cell, batch-correction, data-integration, seurat
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is simmer.plot?

The plotting companion to simmer, shipping only when the simulator or a graphics dependency moves.

simmer.plot renders discrete-event simulation output — S3 plot() methods over get_mon_arrivals(), get_mon_attributes() and get_mon_resources(), plus trajectory diagrams drawn through DiagrammeR. Since 0.1.12 the methods attach to the monitoring data itself rather than the simulation environment, and 0.1.18 finished that migration by deleting the deprecated environment-level methods.

Read the full simmer.plot 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 →

simmer.plot vs STACAS: editorial side-by-side

S
simmer.plot
ANALYTICS
0.0

The plotting companion to simmer, shipping only when the simulator or a graphics dependency moves.

◆ Current state

simmer.plot renders discrete-event simulation output — S3 plot() methods over get_mon_arrivals(), get_mon_attributes() and get_mon_resources(), plus trajectory diagrams drawn through DiagrammeR. Since 0.1.12 the methods attach to the monitoring data itself rather than the simulation environment, and 0.1.18 finished that migration by deleting the deprecated environment-level methods.

◆ Where it's heading

This package moves when something it depends on moves. Its history is a sequence of parser fixes for new simmer trajectory formats, DiagrammeR and tidyr and dplyr version bumps, and ggplot2 workarounds. The one clear internal decision — plotting monitor output instead of the environment — was made in 2017 and completed six years later. The 2025 release fixes documentation cross-references and nothing else.

◆ Prediction

The next release most likely follows a simmer trajectory-format change or a CRAN documentation policy, matching every recent entry. There is no visible feature work in the pipeline.

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 simmer.plot 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 simmer.plot or STACAS.

See all simmer.plot alternatives → · See all STACAS alternatives →

Recent activity from simmer.plot and STACAS

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

  1. 1y agosimmer.plotDocumentation cross-reference fixes
  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 agosimmer.plotActivity tags and named rollbacks; deprecated plot methods removed
  5. 3y agoSTACASReference seeding, gene symbol standardisation, large-scale integration path
  6. 4y agoSTACASSemi-supervised integration and rPCA anchor downweighting
  7. 4y agosimmer.plotZero-capacity utilization fixed; usage limits exposed
  8. 5y agoSTACASSeurat 4.0.0 compatibility and SCTransform support
  9. 6y agosimmer.plotRollback pointer fix and upstream bug workarounds
  10. 8y agosimmer.plotResource plot factors keep the supplied order
  11. 8y agosimmer.plotUpdate for DiagrammeR 1.0.0

Frequently asked questions

What is the difference between simmer.plot and STACAS?

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

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

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