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Comparison · Analytics

ggstats vs sccore

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

Shared themes:r-package

ggstats vs sccore: at a glance

Featureggstatssccore
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesggplot2, data-visualization, likert, regression-modelssingle-cell, bioinformatics, r-package, cran-compliance
Last editorial update1h ago1h ago
WebsiteVisit →Visit →

What is ggstats?

ggstats keeps widening what a coefficient or Likert plot can be

ggstats extends ggplot2 with statistical plotting: model coefficient plots, Likert and diverging bar charts, proportion geometries and the helpers that make them behave. Recent releases have added an experimental gglikert_side(), left and right total columns for gglikert(), and survey-object support across the Likert family. Development is steady and CRAN-paced, with releases every two to three months.

Read the full ggstats trajectory →

What is sccore?

Shared plumbing for the Kharchenko single-cell stack, updated once a year

sccore is the utility layer under the Kharchenko lab's single-cell packages — embedding plots, dot plots, parallel apply helpers and distance metrics that the downstream tools depend on rather than a tool researchers drive directly. The recent releases fix the Jensen-Shannon distance computation between matrix columns and add optional OpenMP support to the RcppArmadillo build. Cadence is roughly one CRAN release a year.

Read the full sccore trajectory →

ggstats vs sccore: editorial side-by-side

G
ggstats
ANALYTICS
0.0

ggstats keeps widening what a coefficient or Likert plot can be

◆ Current state

ggstats extends ggplot2 with statistical plotting: model coefficient plots, Likert and diverging bar charts, proportion geometries and the helpers that make them behave. Recent releases have added an experimental gglikert_side(), left and right total columns for gglikert(), and survey-object support across the Likert family. Development is steady and CRAN-paced, with releases every two to three months.

◆ Where it's heading

Two long-running threads. The coefficient side has been consolidating — ggcoef_multinom() and ggcoef_multicomponents() soft-deprecated in favour of a unified ggcoef_model() with group_by, plus new ggcoef_dodged() and ggcoef_faceted() variants. The Likert side keeps expanding outward instead, absorbing survey objects, total columns and side-by-side layouts. Underneath both is a steady tax of ggplot2 and vctrs compatibility work, including tracking the geom_errorbarh() deprecation in ggplot2 4.0.0.

◆ Prediction

Expect gglikert_side() to lose its experimental status once its interface settles, and the deprecated multinomial entry points to be removed in a future release now that ggcoef_model() covers their cases.

S
sccore
ANALYTICS
0.0

Shared plumbing for the Kharchenko single-cell stack, updated once a year

◆ Current state

sccore is the utility layer under the Kharchenko lab's single-cell packages — embedding plots, dot plots, parallel apply helpers and distance metrics that the downstream tools depend on rather than a tool researchers drive directly. The recent releases fix the Jensen-Shannon distance computation between matrix columns and add optional OpenMP support to the RcppArmadillo build. Cadence is roughly one CRAN release a year.

◆ Where it's heading

Work splits cleanly into two streams: keeping the compiled build acceptable to CRAN as its Makevars policy shifts, and small correctness or interoperability fixes to the plotting and distance helpers. The interoperability thread is the one with direction — embeddingPlot() learning to read Seurat objects in 1.0.6 points at meeting users in the dominant single-cell framework rather than requiring the lab's own object types.

◆ Prediction

Expect the next release to be driven by a CRAN toolchain requirement or a downstream package's needs, with any user-facing change likely another interoperability or plotting fix rather than new capability.

Alternatives to ggstats and sccore

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 ggstats or sccore.

See all ggstats alternatives → · See all sccore alternatives →

Recent activity from ggstats and sccore

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

  1. 4mo agosccoreJensen-Shannon distance fixed, OpenMP support added
  2. 5mo agoggstatsgglikert_side() and total columns for Likert plots
  3. 7mo agoggstatsLikert functions accept survey objects
  4. 11mo agoggstatsTable output for ggcoef_compare(); x-axis limits harmonised
  5. 1y agoggstatsggstats 0.10.0
  6. 1y agosccoreembeddingPlot() reads Seurat objects directly
  7. 1y agoggstatsCoefficient plots unified around ggcoef_model() with grouping
  8. 1y agoggstatsDiverging and Likert geoms redesigned; connector geoms added
  9. 2y agosccoreVersion 1.0.5
  10. 3y agosccoreVersion 1.0.4
  11. 3y agosccoreVersion 1.0.3
  12. 3y agosccoreVersion 1.0.2

Frequently asked questions

What is the difference between ggstats and sccore?

Both compete on the same themes — r-package — within Analytics. ggstats and sccore 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 ggstats better than sccore?

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

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

What are the best alternatives to sccore?

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