← Back to analytics tools
Alternatives · analytics tools

fastrg alternatives

The best fastrg alternatives in analytics tools, ranked by Sparkpulse's velocity_score.

Updated Aug 17, 2026

Looking for the best alternatives to fastrg? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, fastrg 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 fastrg

A fast random-graph sampler that spent 0.3.1 fixing what its parameters actually mean.

fastRG samples from generalized random dot product graphs — stochastic blockmodels, degree-corrected and overlapping variants, directed and undirected — in time proportional to the number of edges rather than nodes squared, which is what makes large sparse networks tractable. Since 0.3.1 the model is constructed and parameterised in one object, with sampling methods taking that object rather than re-specifying edge distribution at sample time.

Velocity 0.0 · Last update 1h ago

Read the full fastrg trajectory →

Top 12 alternatives to fastrg

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

Browse all analytics tools products →

fastrg 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
fastrg (baseline)0.00random-graphsstochastic-blockmodelsnetwork-samplingfastRG 0.3.1
simlandr0.00r-packagedynamical-systemsvisualization
lavaanExtra0.00r-packagestructural-equation-modelinglavaan
ibis.iSDM0.00r-packagespecies-distribution-modelsterraraster replaced by terra across the package
anyflights0.00r-packageaviation-datateaching-datasets
vinereg0.00r-packagecopulasregression
stringx0.00r-packagestringsunicode
healthyR.data0.00r-packagehealthcare-datacmsMetadata lookup and generic CMS fetchers replace bundled data
quanteda.textmodels0.00r-packagetext-classificationnlpLogistic regression classifier added; svmlin rewritten in C++
aqp0.00r-packagesoil-sciences4-classesCore class methods renamed and pruned ahead of 2.0
splines20.00r-packagesplinesrcppPeriodic B-splines, nsk(), and a basis conversion matrix
effectplots0.00r-packagemodel-interpretabilityaleNumeric core rewritten after an in-place data corruption fix
vinecopula0.00r-packagecopulasstatistics

The 12 best fastrg alternatives, in depth

1. simlandr · velocity 0.0

Potential landscape tooling settling onto standard R generics after two rounds of renaming.

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

Where fastrg leans on random graphs, stochastic blockmodels and network sampling, simlandr focuses on r package, dynamical systems and visualization.

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

2. lavaanExtra · velocity 0.0

SEM reporting helpers converging on APA output, one CRAN resubmission at a time.

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

Where fastrg leans on random graphs, stochastic blockmodels and network sampling, lavaanExtra focuses on r package, structural equation modeling and lavaan.

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

3. ibis.iSDM · velocity 0.0

A raster-to-terra migration is the only readable change in a feed of merge notes.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “raster replaced by terra across the package”.

Where fastrg leans on random graphs, stochastic blockmodels and network sampling, ibis.iSDM focuses on r package, species distribution models and terra.

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

4. anyflights · velocity 0.0

A nycflights13 generator whose recent work is all about the data being right.

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

Where fastrg leans on random graphs, stochastic blockmodels and network sampling, anyflights focuses on r package, aviation data and teaching datasets.

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

5. vinereg · velocity 0.0

Conditional density and log-likelihood fill out a vine copula regression package.

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

Where fastrg leans on random graphs, stochastic blockmodels and network sampling, vinereg focuses on r package, copulas and regression.

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

6. stringx · velocity 0.0

A drop-in string API for base R, kept alive by upstream check failures.

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

Where fastrg leans on random graphs, stochastic blockmodels and network sampling, stringx focuses on r package, strings and unicode.

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

7. healthyR.data · velocity 0.0

From a bundled hospital dataset to a live CMS API client.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Metadata lookup and generic CMS fetchers replace bundled data”.

Where fastrg leans on random graphs, stochastic blockmodels and network sampling, healthyR.data focuses on r package, healthcare data and cms.

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

8. quanteda.textmodels · velocity 0.0

Split out of quanteda, then quiet - one new classifier since 2020.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Logistic regression classifier added; svmlin rewritten in C++”.

Where fastrg leans on random graphs, stochastic blockmodels and network sampling, quanteda.textmodels focuses on r package, text classification and nlp.

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

9. aqp · velocity 0.0

The 1.x line, tagged retroactively after a decade of SoilProfileCollection redesign.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Core class methods renamed and pruned ahead of 2.0”.

Where fastrg leans on random graphs, stochastic blockmodels and network sampling, aqp focuses on r package, soil science and s4 classes.

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

10. splines2 · velocity 0.0

Spline bases built to interoperate: periodic B-splines and an nsk-compatible natural basis.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Periodic B-splines, nsk(), and a basis conversion matrix”.

Where fastrg leans on random graphs, stochastic blockmodels and network sampling, splines2 focuses on r package, splines and rcpp.

splines2 and fastrg have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.

11. effectplots · velocity 0.0

A young ALE and PDP plotting package that rebuilt its numeric core after a data-corrupting bug.

Its velocity score of 0.0/10 reflects longer-term release cadence; its most recent meaningful update was “Numeric core rewritten after an in-place data corruption fix”.

Where fastrg leans on random graphs, stochastic blockmodels and network sampling, effectplots focuses on r package, model interpretability and ale.

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

12. vinecopula · velocity 0.0

Vine copula CDFs arrive; everything else is compile hygiene and boundary fixes.

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

Where fastrg leans on random graphs, stochastic blockmodels and network sampling, vinecopula focuses on r package, copulas and statistics.

vinecopula and fastrg 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 fastrg?

The top fastrg alternatives we currently track in analytics tools are simlandr, lavaanExtra, ibis.iSDM, anyflights, vinereg, ranked by recent ship velocity.

How is this list of fastrg alternatives ranked?

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

Can I compare fastrg directly with one of these alternatives?

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