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lares alternatives

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

Updated Aug 20, 2026

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

One analyst's toolbox, still shipping: Meta MMM tooling beside Wordle solvers

lares is Bernardo Lares' personal R sidekick and has never pretended otherwise — the same release adds a marketing-mix diagnostic and a function to keep your screen awake. The serious core is the Robyn/Meta arm: model selection, per-channel performance decomposition, cross-channel budget allocation. Around it sit h2o AutoML wrappers, credential and cache helpers, MP3 tagging, and a family of games.

Velocity 0.0 · Last update 54m ago

Read the full lares trajectory →

Top 12 alternatives to lares

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

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lares 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
lares (baseline)0.00marketing-mix-modelingrobynutility-toolbox
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
packageRank0.00crandownload-analyticslog-filtering

The 12 best lares alternatives, in depth

1. 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 lares leans on marketing mix modeling, robyn and utility toolbox, dscore focuses on child development, psychometrics and global health.

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

2. 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 lares leans on marketing mix modeling, robyn and utility toolbox, ggfootball focuses on sports analytics, r package and data scraping.

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

3. 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 lares leans on marketing mix modeling, robyn and utility toolbox, goat focuses on bioinformatics, gene set analysis and r package.

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

4. 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 lares leans on marketing mix modeling, robyn and utility toolbox, rollupTree focuses on recursive computation, tree structures and dag.

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

5. 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 lares leans on marketing mix modeling, robyn and utility toolbox, massProps focuses on systems engineering, mass properties and uncertainty propagation.

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

6. 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 lares leans on marketing mix modeling, robyn and utility toolbox, writeAlizer focuses on writing assessment, nlp features and model artifacts.

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

7. 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 lares leans on marketing mix modeling, robyn and utility toolbox, samplr focuses on cognitive science, sampling algorithms and mcmc.

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

8. 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 lares leans on marketing mix modeling, robyn and utility toolbox, stochvol focuses on bayesian inference, stochastic volatility and mcmc.

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

9. 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 lares leans on marketing mix modeling, robyn and utility toolbox, midr focuses on explainable ai, surrogate models and shapley.

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

10. 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 lares leans on marketing mix modeling, robyn and utility toolbox, GeoThinneR focuses on spatial thinning, species distribution and occurrence data.

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

11. 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 lares leans on marketing mix modeling, robyn and utility toolbox, selection.index focuses on plant breeding, selection index and genomic selection.

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

12. packageRank · velocity 0.0

CRAN download analytics maintained one micro-change at a time, hundreds per year.

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

Where lares leans on marketing mix modeling, robyn and utility toolbox, packageRank focuses on cran, download analytics and log filtering.

packageRank and lares 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 lares?

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

How is this list of lares alternatives ranked?

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

Can I compare lares directly with one of these alternatives?

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