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statsExpressions alternatives

The best statsExpressions alternatives in developer tools, ranked by Sparkpulse's velocity_score.

Updated Aug 20, 2026

Looking for the best alternatives to statsExpressions? Sparkpulse tracks and ranks 12 alternatives in developer tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, statsExpressions shipped 0 meaningful updates in the last 30 days and carries a velocity score of 0.0 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.

About statsExpressions

A statistics backend whose release history is mostly other people's weather

statsExpressions produces the tidy dataframes and plotmath expressions that ggstatsplot prints onto plots, and that position defines its changelog. Six of its ten most recent versions exist to absorb API changes in easystats, dplyr or purrr. Version 2.0.0 is the exception, cut to accompany ggstatsplot's own 1.0.0 and carrying pairwise Fisher's exact post hocs for contingency tables.

Velocity 0.0 · Last update 55m ago

Read the full statsExpressions trajectory →

Top 12 alternatives to statsExpressions

Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.

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statsExpressions vs alternatives — shipping velocity at a glance

Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.

ProductVelocitySparks · 30dFocus areasLatest release
statsExpressions (baseline)0.00statisticseasystatsggstatsplot
Nextflow6.31workflow-orchestrationbioinformaticsai-agentsAI agents become first-class Nextflow tasks
dscore0.00child-developmentpsychometricsglobal-healthdscore 2.0.0
ggfootball0.00sports-analyticsr-packagedata-scrapingggfootball 0.3.0
goat0.00bioinformaticsgene-set-analysisr-packageGene sets beyond human, and analyses you can reload
rollupTree0.00recursive-computationtree-structuresdag
massProps0.00systems-engineeringmass-propertiesuncertainty-propagation
writeAlizer0.00writing-assessmentnlp-featuresmodel-artifacts
samplr0.00cognitive-sciencesampling-algorithmsmcmc
stochvol0.00bayesian-inferencestochastic-volatilitymcmc
midr0.00explainable-aisurrogate-modelsshapleyMatrix responses bring multi-class and survival models in scope
GeoThinneR0.00spatial-thinningspecies-distributionoccurrence-dataGeoThinned result objects and a reorganised method surface
selection.index0.00plant-breedingselection-indexgenomic-selectionGenomic, marker and multi-stage selection indices on an Rcpp core

The 12 best statsExpressions alternatives, in depth

1. Nextflow · velocity 6.3

Nextflow just made AI agents a task type, alongside processes and containers.

Over the last 30 days Nextflow shipped 1 meaningful update vs statsExpressions's 0, most recently “AI agents become first-class Nextflow tasks”. Its velocity score of 6.3/10 blends that with longer-term release cadence.

Where statsExpressions leans on statistics, easystats and ggstatsplot, Nextflow focuses on workflow orchestration, bioinformatics and ai agents.

Over the last 30 days Nextflow has been shipping faster than statsExpressions — a point in its favour if release momentum matters to you.

2. dscore · velocity 0.0

The D-score reference implementation rebuilt its measurement foundation on seven countries.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “dscore 2.0.0”.

Where statsExpressions leans on statistics, easystats and ggstatsplot, dscore focuses on child development, psychometrics and global health.

dscore and statsExpressions have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

3. ggfootball · velocity 0.0

A football-viz package just swapped scraping for an API and broke its own output to do it.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “ggfootball 0.3.0”.

Where statsExpressions leans on statistics, easystats and ggstatsplot, ggfootball focuses on sports analytics, r package and data scraping.

ggfootball and statsExpressions have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

4. goat · velocity 0.0

A gene-set enrichment package that outgrew its human-only origins, then went quiet.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Gene sets beyond human, and analyses you can reload”.

Where statsExpressions leans on statistics, easystats and ggstatsplot, goat focuses on bioinformatics, gene set analysis and r package.

goat and statsExpressions have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

5. rollupTree · velocity 0.0

The recursive-computation engine under massProps grows the accessors its consumer needed.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where statsExpressions leans on statistics, easystats and ggstatsplot, rollupTree focuses on recursive computation, tree structures and dag.

rollupTree and statsExpressions have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

6. massProps · velocity 0.0

A mass-properties rollup spends a year on documentation and follows its sibling's API.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where statsExpressions leans on statistics, easystats and ggstatsplot, massProps focuses on systems engineering, mass properties and uncertainty propagation.

massProps and statsExpressions have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

7. writeAlizer · velocity 0.0

Six months of releases and not one of them touched the scoring models.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where statsExpressions leans on statistics, easystats and ggstatsplot, writeAlizer focuses on writing assessment, nlp features and model artifacts.

writeAlizer and statsExpressions have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

8. samplr · velocity 0.0

A cognitive-science sampling package ships once, then goes quiet for eighteen months.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where statsExpressions leans on statistics, easystats and ggstatsplot, samplr focuses on cognitive science, sampling algorithms and mcmc.

samplr and statsExpressions have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

9. stochvol · velocity 0.0

A Bayesian volatility sampler in its maintenance decade, paying for its own speed.

Its velocity score of 0.0/10 reflects longer-term release cadence.

Where statsExpressions leans on statistics, easystats and ggstatsplot, stochvol focuses on bayesian inference, stochastic volatility and mcmc.

stochvol and statsExpressions have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

10. midr · velocity 0.0

A black-box interpreter reaches CRAN, then learns multi-class and survival responses.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Matrix responses bring multi-class and survival models in scope”.

Where statsExpressions leans on statistics, easystats and ggstatsplot, midr focuses on explainable ai, surrogate models and shapley.

midr and statsExpressions have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

11. GeoThinneR · velocity 0.0

Spatial thinning grows a result object, and the API breaks to make room for it.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “GeoThinned result objects and a reorganised method surface”.

Where statsExpressions leans on statistics, easystats and ggstatsplot, GeoThinneR focuses on spatial thinning, species distribution and occurrence data.

GeoThinneR and statsExpressions have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

12. selection.index · velocity 0.0

A dormant plant-breeding package returns as a genomic selection index suite.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Genomic, marker and multi-stage selection indices on an Rcpp core”.

Where statsExpressions leans on statistics, easystats and ggstatsplot, selection.index focuses on plant breeding, selection index and genomic selection.

selection.index and statsExpressions have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

Frequently asked questions

What are the best alternatives to statsExpressions?

The top statsExpressions alternatives we currently track in developer tools are Nextflow, dscore, ggfootball, goat, rollupTree, ranked by recent ship velocity.

How is this list of statsExpressions alternatives ranked?

Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.

Can I compare statsExpressions directly with one of these alternatives?

Yes — every card has a "Compare with statsExpressions" link to a side-by-side /compare page.