easystats
The easystats meta-package is install tooling wrapped around a relicensed ecosystem.
Comparison · Analytics
bayesplot vs Seurat
A side-by-side editorial comparison of bayesplot and Seurat — release velocity, themes, recent moves, and the top alternatives to consider.
bayesplot vs Seurat: at a glance
What is bayesplot?
bayesplot keeps widening its posterior-check catalogue while absorbing each ggplot2 break.
bayesplot supplies the plotting layer for Stan-adjacent Bayesian workflows: posterior predictive checks, MCMC diagnostics and LOO diagnostics. Releases through 2025 alternate between new plot families and keeping pace with ggplot2, which changed behavior twice in the visible window. Contributions increasingly arrive from outside the core Stan team.
What is Seurat?
Seurat's centre of gravity has moved from single cells to spatial data and on-disk matrices
Seurat is the dominant R toolkit for single-cell analysis, and the 5.x line reads as two ongoing projects. One is spatial: successive releases absorb each new 10x output format - Visium HD, Xenium protein data, Space Ranger 4.0 segmentations - and add plotting and selection tools for them. The other is scale, where BPCells on-disk matrices keep gaining support in functions that previously required everything in memory.
bayesplot vs Seurat: editorial side-by-side
bayesplot
0.0ANALYTICS
bayesplot keeps widening its posterior-check catalogue while absorbing each ggplot2 break.
◆ Current state
bayesplot supplies the plotting layer for Stan-adjacent Bayesian workflows: posterior predictive checks, MCMC diagnostics and LOO diagnostics. Releases through 2025 alternate between new plot families and keeping pace with ggplot2, which changed behavior twice in the visible window. Contributions increasingly arrive from outside the core Stan team.
◆ Where it's heading
Two forces drive the release line: expanding what can be checked visually, and absorbing upstream ggplot2 churn. The 1.13-1.14 pair shows the first, adding LOO-PIT ECDF plots, quantile dot plots and discrete-data handling across the stat family, while 1.12 and 1.15 are largely spent on ggplot2 3.6 and 4.0 compatibility. The recurring new-contributor lists suggest maintenance load is being spread rather than concentrated.
◆ Prediction
Discrete-data support has rolled out plot family by plot family across three releases; the next release most likely continues that sweep and finishes the ggplot2 v4 adaptation.
Seurat
0.0ANALYTICS
Seurat's centre of gravity has moved from single cells to spatial data and on-disk matrices
◆ Current state
Seurat is the dominant R toolkit for single-cell analysis, and the 5.x line reads as two ongoing projects. One is spatial: successive releases absorb each new 10x output format - Visium HD, Xenium protein data, Space Ranger 4.0 segmentations - and add plotting and selection tools for them. The other is scale, where BPCells on-disk matrices keep gaining support in functions that previously required everything in memory.
◆ Where it's heading
Both projects are driven from outside. The spatial work tracks whatever 10x ships, which is why data loaders and coordinate handling get rewritten release after release; the BPCells work tracks dataset sizes that no longer fit in RAM. Clustering and dimensionality reduction, the parts Seurat actually owns, change mainly by exposing more of uwot's and igraph's options rather than by new method development.
◆ Prediction
Expect the next release to absorb whatever instrument output 10x publishes next, and BPCells support to keep spreading into the functions that still densify matrices; the interactive spatial selection tooling looks like the one area with room to grow on its own terms.
Alternatives to bayesplot and Seurat
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 bayesplot or Seurat.
discrim
discrim settled into a thin engine shim after handing its model definitions to parsnip.
dbparser
dbparser shed its database and CSV writers to become just a DrugBank parser.
desirability2
desirability2 is making multi-metric model selection a first-class tidymodels step.
crosstalk
crosstalk is frozen infrastructure: four releases in five years, mostly CRAN upkeep.
cmdstanr
cmdstanr keeps adding fast approximations beside full HMC, and fighting Windows toolchains.
See all bayesplot alternatives → · See all Seurat alternatives →
Recent activity from bayesplot and Seurat
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1mo agoSeuratFixes zero-count genes in PrepSCTFindMarkers; UMAP init option
- 3mo agoSeuratBPCells gains regression support; ElbowPlot shows variance explained
- 8mo agoSeuratSpace Ranger 4.0 segmentations and interactive cell lasso ⚡
- 8mo agobayesplotmcmc_scatter gains shape; pre-ggplot2 v4 theme behavior restored
- 9mo agoSeuratXenium protein data; Leiden via igraph, UMAP via umap2
- 11mo agobayesplotQuantile dot plots and broader discrete-data support
- 1y agobayesplotppc_loo_pit_ecdf() added; KM overlays gain truncation control
- 1y agoSeuratsctransform and leverage-score calculation refactored for speed
- 1y agobayesplotggplot2 3.6 compatibility and a run of plot-data fixes
- 1y agoSeuratTest fix for cross-platform clustering variability
- 2y agobayesplotPatch caps ppc_pit_ecdf evaluation points at 1000
- 2y agobayesplotbins/breaks across histograms; all LOO plots accept psis_object
Frequently asked questions
What is the difference between bayesplot and Seurat?
They serve adjacent needs but don't currently overlap on shipped themes. bayesplot and Seurat 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 bayesplot better than Seurat?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. bayesplot and Seurat 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 bayesplot?
Top bayesplot alternatives in Analytics are ranked by recent ship velocity. Browse the "bayesplot alternatives" section above for the current picks, or visit /alternatives/bayesplot for the full list with editorial commentary on each.
What are the best alternatives to Seurat?
Top Seurat alternatives in Analytics are ranked by recent ship velocity. Browse the "Seurat alternatives" section above for the current picks, or visit /alternatives/seurat for the full list with editorial commentary on each.